The science of quantum dots has evolved rapidly in recent years. A quantitative and comprehensive examination of the research domain is required to identify research trends and directions in the field. This work, a systematic review of 4176 scientific articles published in the Web of Science database between 2014 and 2023, results from collaborative efforts. The results, based on two citation analysis methods- bibliographic coupling and cited reference method- identify some of the most active and influential documents, authors, countries, cited references, and keywords in the field. The study reveals rankings, collaboration networks, and clusters of contributions to the literature. The study found that the most bibliographic coupling documents were Lim, 2015, and the countries with the most publications and collaborations have been China and the USA. Specifically, the fourth cluster of authors is linked with each cluster, and the most frequently cited reference is Murray CB, 1993, Journal of the American Chemical Society VII5, P8706. Quantum dots stand out prominently, ranking second in occurrences with 1864 mentions and relative influence. This research is a testament to the collaborative nature of scientific inquiry in understanding the current state and future directions of quantum dots research.
Published in | American Journal of Information Science and Technology (Volume 8, Issue 3) |
DOI | 10.11648/j.ajist.20240804.11 |
Page(s) | 98-110 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Quantum Dots, Bibliometrics, Bibliographic Coupling, Cited Reference, Social Network Analysis, and VOSviewer
[1] | Xu J, Zheng J. Quantum dots and nanoclusters. Nano-inspired Biosensors for Protein Assay with Clinical Applications. Elsevier Inc.; 2018. 67–90 p. |
[2] | Brus LE. Electron-electron and electron-hole interactions in small semiconductor crystallites: The size dependence of the lowest excited electronic state. J Chem Phys. 1984; 80(9): 4403–9. |
[3] | Bailey RE, Smith AM, Nie S. Quantum dots in biology and medicine. Phys E Low-Dimensional Syst Nanostructures. 2004; 25(1): 1–12. |
[4] | Medintz IL, Uyeda HT, Goldman ER, Mattoussi H. Quantum dot bioconjugates for imaging, labelling and sensing. Nat Mater. 2005; 4(6): 435–46. |
[5] | He Y, Lu HT, Sai LM, Su YY, Hu M, Fan CH, et al. Microwave synthesis of water-dispersed CdTe/CdS/ZnS core-shell-shell quantum dots with excellent photostability and biocompatibility. Adv Mater. 2008; 20(18): 3416–21. https://doi.org/10.1002/adma.200701166 |
[6] | Bogue R. Quantum dots: A bright future for photonic nanosensors. Sens Rev. 2010; 30(4): 279–84. |
[7] | Klostranec JM, Chan WCW. Quantum dots in biological and biomedical research: Recent progress and present challenges. Adv Mater. 2006; 18(15): 1953–64. |
[8] | Liu J, Lau SK, Varma VA, Moffitt RA, Caldwell M, Liu T, et al. Molecular mapping of tumor heterogeneity on clinical tissue specimens with multiplexed quantum dots. ACS Nano. 2010; 4(5): 2755–65. |
[9] | Zhang H, Yee D, Wang C. Quantum dots for cancer diagnosis and therapy: Biological and clinical perspectives. Nanomedicine. 2008; 3(1): 83–91. |
[10] | Michalet X, Pinaud FF, Bentolila LA, Tsay JM, Doose S, Li JJ, et al. Quantum dots for live cells, in vivo imaging, and diagnostics. Science (80-). 2005; 307(5709): 538–44. |
[11] | Utkin YN. Brain and Quantum Dots: Benefits of Nanotechnology for Healthy and Diseased Brain. Cent Nerv Syst Agents Med Chem. 2018; 18(3): 193–205. |
[12] | Wu T, Tang M. Toxicity of quantum dots on respiratory system. Inhal Toxicol. 2014; 26(2): 128–39. |
[13] | Zhang T, Wang Y, Kong L, Xue Y, Tang M. Threshold dose of three types of quantum dots (QDs) induces oxidative stress triggers DNA damage and apoptosis in mouse fibroblast L929 cells. Int J Environ Res Public Health. 2015; 12(10): 13435–54. |
[14] | Mohamed Riyas Z, Gayathri R, Prabhu MR, Velsankar K, Sudhahar S. Green synthesis and biomedical behavior of Mg-doped ZnO nanoparticle using leaf extract of Ficus religiosa. Ceram Int. 2022; 48(17): 24619–28. |
[15] | Coccia M. Technological trajectories in quantum computing to design a quantum ecosystem for industrial change. Technol Anal Strateg Manag. 2022; 1–16. |
[16] | Jiang SY, Chen SL. Exploring landscapes of quantum technology with Patent Network Analysis. Technol Anal Strateg Manag. 2021; 33(11): 1317–31. |
[17] | Gupta BM, Dhawan SM, Kumar A, Walke R. Quantum dots research in India: A bibliometric study of the publications output for the period 2000-2019. Int J Inf Dissem Technol. 2021; 11(1): 44–9. |
[18] | Wei T, Liu W, Zheng Z, Chen Y, Shen M, Li C. Bibliometric Analysis of Research Trends on 3-Monochloropropane-1,2-Diol Esters in Foods. J Agric Food Chem. 2022; 70(49): 15347–59. |
[19] | Zhong L, Zhang L, Li Y, Liang X, Kong L, Shen X, et al. Assessment of the toxicity of quantum dots through biliometric analysis. Int J Environ Res Public Health. 2021 Jun 1; 18(11). |
[20] | Wang J, Shen L, Zhou W. A bibliometric analysis of quantum computing literature: mapping and evidences from scopus. Technol Anal Strateg Manag. 2021; 33(11): 1347–63. |
[21] | Gupta BM, Dhawan SM, Mamdapur GMN, Visakhi R. Quantum Communication & Networking (QCN): A Scientometric Assessment of Global Publications during 1997–20. Int J Inf Dissem Technol. 2021; 11(2): 71–9. |
[22] | Gupta BM, Kappi M, Walke R, Biradar BS. Quantum Optics: A Scientometric Assessment of India’s Publications during 1996-2021. J Data Sci Inf Cit Stud. 2022; 1(1): 12–21. |
[23] | Gupta BM, Dhawan SM, Mamdapur GM. Quantum Cryptography Research: A Scientometric Assessment of Global Publications during 1992-2019. Sci Technol Libr. 2021; 40(3): 282–300. |
[24] | Dhawan S. M., Gupta B. M. GMNM. Quantum Machine Learning: A Scientometric Assessment of Global Publications during 1999-2020. Int J Knowl Content Dev Technol 2021; 11(3): 29–44. |
[25] | Scheidsteger T, Haunschild R, Bornmann L, Ettl C. Bibliometric analysis in the field of quantum technology. Quantum Reports. 2021 Sep 1; 3(3): 549–75. |
[26] | Rajendran S, Jeyshankar R. Citation Analysis on Quantum Dots literature during 2006-2020. 2022 Jun 10 |
[27] | Ding Y, Chowdhury GG, Foo S. Bibliometric cartography of information retrieval research by using co-word analysis. Inf Process Manag. 2001; 37(6): 817–42. |
[28] | van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010; 84(2): 523–38. |
[29] | Ferreira FAF. Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses. J Bus Res. 2018; 85 (September 2015): 348–57. |
[30] | Koseoglu MA, Rahimi R, Okumus F, Liu J. Bibliometric studies in tourism. Ann Tour Res. 2016; 61: 180–98. |
[31] | Sahu MK. Bibliographic coupling and co-citation networking analysis determining research contributions of business school between 1965-June, 2020: With special reference to Indian Institute of Management, India. Libr Philos Pract. 2021; 2021 (March): 14. |
[32] | Glänzel W, Thijs B. Using “core documents” for detecting and labelling new emerging topics. Scientometrics. 2012; 91(2): 399–416. |
[33] | Subandi Y, Amini DS, Nurgiyanti T, Nuswantoro BS, Wiratma HD. Research on Covid-19 Human Security Disaster Management in Indonesia Using VOSviewer Bibliometrics. RSF Conf Proceeding Ser Med Heal Sci. 2023; 2(1): 58–67. |
[34] | Gupta BM, Bhattacharya S. Bibliometric approach towards mapping the dynamics of science and technology. DESIDOC Bull Inf Technol. 2004; 24(1): 3–8. |
[35] | Martinho VJPD. Bibliographic Coupling Links: Alternative Approaches to Carrying Out Systematic Reviews about Renewable and Sustainable Energy. Environ - MDPI. 2022; 9(2). |
[36] | Phan Tan L. Bibliometrics of social entrepreneurship research: Cocitation and bibliographic coupling analyses. Cogent Bus Manag. 2022; 9(1). |
[37] | Batagelj V. On fractional approach to analysis of linked networks. Scientometrics 2020; 123(2): 621–33. |
[38] | Svobodová L, Bednarska-Olejniczak D. SMART City and Economy: Bibliographic Coupling and Co-occurrence. Lect Notes Comput Sci. 2020; 12066 LNCS: 102–13. |
[39] | Bresciani S, Ciampi F, Meli F, Ferraris A. Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda. Int J Inf Manage. 2021; 60 (March): 102347. |
[40] | Velmurugan C, Ramasamy G. Nephrology Publications of Bibliographic Coupling and Co-authorship Network using VOS viewer: A Scientometric Profile. Libr Philos Pract. 2021; 2021. |
[41] | Thanuskodi S. Bibliometric analysis of the journal library philosophy and practice from 2005-2009. Libr Philos Pract. 2010; 2010 (OCTOBER): 1–6. |
[42] | Montecchi M, Plangger K, West DC. Supply chain transparency: A bibliometric review and research agenda. Int J Prod Econ. 2021; 238 (April): 108152. |
[43] | Nishavathi E,, R. Jeyshankar, Oh DG. Evaluating Research Output Using Scientometric and Social Network Analysis: A Case of Alagappa University, India. Int J Inf Sci Manag. 2022 Dec 1; 20(2): 325–45. |
[44] |
van Eck NJ, Waltman L. Visualizing Bibliometric Networks. Measuring Scholarly Impact. 2014. 285–320 p.
https://link.springer.com/chapter/10.1007/978-3-319-10377-8_13 |
[45] | Sargunapathi, R., Vinayagamoorthy, P., Sumathi, P., & Sirajunissa Begum, S. (2020). Mapping of Scientific Articles on Brain Tumors: A Scientometric Study. Indian Journal of Information Sources and Services, 10(2), 26-34. |
[46] | Bhattacharya S, Shilpa, Bhati M. China and India: The two new players in the nanotechnology race. Scientometrics. 2012; 93(1): 59–87. |
[47] | Phan Tan L. Mapping the social entrepreneurship research: Bibliographic coupling, co-citation and co-word analyses. Cogent Bus Manag. 2021; 8(1). |
[48] | Li J, Guo X, Jovanovic A. Bibliometrics Analysis of Nanosafety Research. Collnet J Sci Inf Manag. 2014; 8(2): 437–55. |
[49] | Sargunapathi R, Jeyshankar R, and Thanuskodi S. Bibliometric Analysis of Scientific Collaboration in Quantum Dots Literature. Indian Jou of Infor Sou and Services 2024; 14(2): 178-185 p. |
[50] | Chen X, Chen J, Wu D, Xie Y, Li J. Mapping the Research Trends by Co-word Analysis Based on Keywords from Funded Project. Procedia Comput Sci. 2016; 91(Itqm): 547–55. |
[51] | Bhattacharya S, Basu PK. Mapping a research area at the micro level using co-word analysis. Scientometrics. 1998; 43(3): 359–72. |
[52] | Hancock TO, Broekaert J, Hess S, Choudhury CF. Quantum probability: A new method for modelling travel behaviour. Transp Res Part B Methodol. 2020; 139: 165–98. |
[53] | Haghani M, Bliemer MCJ, Hensher DA. The landscape of econometric discrete choice modelling research. J Choice Model. 2021; 40 (January): 100303. |
[54] | Guleria D, Kaur G. Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019. Libr Hi Tech. 2021; 39(4): 1001–24. |
[55] | Yu Y, Li Y, Zhang Z, Gu Z, Zhong H, Zha Q, et al. A bibliometric analysis using VOSviewer of publications on COVID-19. Ann Transl Med. 2020; 8(13): 816–816. |
[56] | Rofaie NSA, Phoong SW, Talib MA, Sulaiman A. Light-emitting diode (LED) research: A bibliometric analysis during 2003–2018. Qual Quant. 2023; 57(1): 173–91. |
[57] | Rostami C, Nemati-Anaraki L, Asadzandi S, Saberi MK. Bibliometric Analysis and Visualization of Scientific Publications of Iran University of Medical Sciences during 1980-2020. Int J Inf Sci Manag. 2024; 22(1): 223–40. |
APA Style
Rajendran, S., Ramalingam, J., Shanmugam, T. (2024). Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference. American Journal of Information Science and Technology, 8(3), 98-110. https://doi.org/10.11648/j.ajist.20240804.11
ACS Style
Rajendran, S.; Ramalingam, J.; Shanmugam, T. Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference. Am. J. Inf. Sci. Technol. 2024, 8(3), 98-110. doi: 10.11648/j.ajist.20240804.11
@article{10.11648/j.ajist.20240804.11, author = {Sargunapathi Rajendran and Jeyshankar Ramalingam and Thanuskodi Shanmugam}, title = {Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference }, journal = {American Journal of Information Science and Technology}, volume = {8}, number = {3}, pages = {98-110}, doi = {10.11648/j.ajist.20240804.11}, url = {https://doi.org/10.11648/j.ajist.20240804.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20240804.11}, abstract = {The science of quantum dots has evolved rapidly in recent years. A quantitative and comprehensive examination of the research domain is required to identify research trends and directions in the field. This work, a systematic review of 4176 scientific articles published in the Web of Science database between 2014 and 2023, results from collaborative efforts. The results, based on two citation analysis methods- bibliographic coupling and cited reference method- identify some of the most active and influential documents, authors, countries, cited references, and keywords in the field. The study reveals rankings, collaboration networks, and clusters of contributions to the literature. The study found that the most bibliographic coupling documents were Lim, 2015, and the countries with the most publications and collaborations have been China and the USA. Specifically, the fourth cluster of authors is linked with each cluster, and the most frequently cited reference is Murray CB, 1993, Journal of the American Chemical Society VII5, P8706. Quantum dots stand out prominently, ranking second in occurrences with 1864 mentions and relative influence. This research is a testament to the collaborative nature of scientific inquiry in understanding the current state and future directions of quantum dots research. }, year = {2024} }
TY - JOUR T1 - Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference AU - Sargunapathi Rajendran AU - Jeyshankar Ramalingam AU - Thanuskodi Shanmugam Y1 - 2024/12/31 PY - 2024 N1 - https://doi.org/10.11648/j.ajist.20240804.11 DO - 10.11648/j.ajist.20240804.11 T2 - American Journal of Information Science and Technology JF - American Journal of Information Science and Technology JO - American Journal of Information Science and Technology SP - 98 EP - 110 PB - Science Publishing Group SN - 2640-0588 UR - https://doi.org/10.11648/j.ajist.20240804.11 AB - The science of quantum dots has evolved rapidly in recent years. A quantitative and comprehensive examination of the research domain is required to identify research trends and directions in the field. This work, a systematic review of 4176 scientific articles published in the Web of Science database between 2014 and 2023, results from collaborative efforts. The results, based on two citation analysis methods- bibliographic coupling and cited reference method- identify some of the most active and influential documents, authors, countries, cited references, and keywords in the field. The study reveals rankings, collaboration networks, and clusters of contributions to the literature. The study found that the most bibliographic coupling documents were Lim, 2015, and the countries with the most publications and collaborations have been China and the USA. Specifically, the fourth cluster of authors is linked with each cluster, and the most frequently cited reference is Murray CB, 1993, Journal of the American Chemical Society VII5, P8706. Quantum dots stand out prominently, ranking second in occurrences with 1864 mentions and relative influence. This research is a testament to the collaborative nature of scientific inquiry in understanding the current state and future directions of quantum dots research. VL - 8 IS - 3 ER -