For More Information
- CS 598: Computational Scientometrics
My scientific interests lie in the vicinity of novelty in science, impact, peer review, knowledge diffusion, and research community structure. A related interest is the social interactions that drive scientific recognition and achievement. Emphasis is placed on value to at least one of four stakeholders: (i) research funders, who want to know what their support has achieved and what it might in future, (ii) research institutions who ask the same questions as funders but are recipients of funds and must strategize to sustain their existing support and/or augment it, (iii) providers of research analytical services who think beyond the confines of commonplace global metrics such as the h-index and its well documented limitations, and (iv) the evaluation community.
I am presently working on the identification and characterization of research communities that form around scientific questions. The techniques used in my studies build upon work in scientometrics, sociology, science history, and computer science. The work I do is presentlysupported by a grant in 2022 from the Insper:Illinois collaboration as well as a research award from the Oracle Corporation. We have funding for a PhD student to work on this project, which has many interesting dimensions so interested PhD students are encouraged to reach out. We have just submitted the first manuscript from the collaboration with Insper, Well-Connected Communities in Real-World Networks (2023) Park et al. , and a preprint is available. https://arxiv.org/abs/2303.02813
CS 597 offerings: I am willing to offer CS 597 courses for current PhD or MS students at UIUC who are looking for potential thesis topics. The research I can advise on (joint with Tandy Warnow) is presently focused on clustering and community detection with application to the real world problems of science mapping, research evaluation, and scientometrics.
Most recently, Vidya Kamath Pailodi and Vikram Ramavarapu, Master's students in CS, have been active in my research and have made splendid progress. Laxmi Vijayan and Haadi Elsaawy from the iCAN program are taking a CS 597 course with me this summer and are making great progress. Other students I have worked with are: Undergraduate. Hemank Kohli and Franklin Moy (ECE), Akhil Jakatdar, Isabella Nisperos, Trisha Manna (CS) Graduate: Elaina Wittmer, Sid Ahuja, Deep Kotadia (CS). Through collaboration with Tandy Warnow: Eleanor Wedell, Minhyuk Park, Baqiao Liu, Yasamin Tabatabaee (CS).
Selected Articles in Journals
- Jakatdar, A., Liu, B., Warnow, T., and Chacko, G. (2022) AOC; Assembling Overlapping Communities. (In Press) Quantitative Science studies (preprint on arXiv)
- Wedell, E., Park, M., Korobskiy, D., Warnow, T., and Chacko, G. Center-Periphery Structure in Research Communities (2022) Quantitative Science Studies (preprint also on ArXiv)
- Chandrasekharan, S., Zaka, M., Gallo, S., Zhao, W., Korobskiy, D., Warnow, T., & Chacko, G. Finding Scientific Communities in Citation Graphs : Articles and Authors. (2021) Quantitative Science Studies. doi:10.1162/qss_a_00095
- Bradley, J., Devarakonda, S., Davey, A., Korobskiy, D., Liu, S., Lakhdar-Hamina, D., Warnow, T., & Chacko, G. (2020). Co-citations in context: Disciplinary heterogeneity is relevant. Quantitative Science Studies, 1, 1-13. doi:10.1162/qss a 00007
- Bornmann, L., Devarakonda, S., Tekles, A., & Chacko, G. (2020). Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019). Scientometrics. doi:10.1007/s11192-020-03406-8.
- Bornmann, L., Devarakonda, S., Tekles, A., & Chacko, G. (2020). Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers. Quantitative Science Studies. doi:10.1162/qss a 00068.
- Devarakonda, S., Bradley, J., Korobskiy, D., Warnow, T., & Chacko, G. (2020). Frequently co-cited publications: Features and kinetics. Quantitative Science Studies. doi: 10.1162/qss a 00075.
- Devarakonda, S., Korobskiy, D., Warnow, T., & Chacko, G. (2020). Viewing Computer Science through Citation Analysis Salton and Bergmark Redux. Scientometrics. doi:10.1007/s11192-020-03624-0.
- Zhao, W., Korobskiy, D., Chandrasekharan, S., Merz, K., & Chacko, G. (2020). Converging interests- chemoinformatics, history, and bibliometrics. Journal of Chemical Information and Modeling. doi:10.1021/acs.jcim.0c01098
- Zhao, W., Korobskiy, D., & Chacko, G. Delayed Recognition; A Co-citation Perspective (2020) Frontiers in Research Metrics and Analytics doi:10.3389/frma.2020.577131
- Keserci, S., Livingston, E., Wan, L., Pico, A.R., and Chacko, G. (2017) Heliyon doi: 10.1016/j.heliyon.2017.e00442
- Boyack, K.W., Chen, M-C, & Chacko, G. (2014) Characterization of the Peer Review Network at the Center for Scientific Review, National Institutes of Health. PLOS One doi: 10.1371/journal.pone.0104244
- Well-Connected Communities in Real-World Networks (2023) Minhyuk Park, Yasamin Tabatabaee, Baqiao Liu, Vidya Kamath Pailodi, Vikram Ramavarapu, Rajiv Ramachandran, Dmitriy Korobskiy, Fabio Ayres, George Chacko, Tandy Warnow. (2023) arXiv 2303.02813
Other Scholarly Activities
- Program Committee, International Society for Scientometrics and Informetrics (ISSI) 2023
Recent Courses Taught
- CS 598 GGC - Computational Scientometrics