George Chacko
For More Information
Resident Instruction
- CS 598: Computational Scientometrics
Research Statement
My scientific interests are centered around 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. Other (and more informal) descriptions of my interests and outlook on research can be found here and here.
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.
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 is presently focused on clustering, community detection. community search with application to the real world problems of science mapping, research evaluation, and scientometrics. A key part of the group experience is developing the ability to critically interpret the literature relevant to our interests. Students are required to develop verbal and written communications skills.
Research Areas
Selected Articles in Journals
- CM++ - A Meta-method for Well-Connected Community Detection (2023) Vikram Ramavarapu, Fábio Jose Ayres, Minhyuk Park, Vidya Kamath Pailodi, João Alfredo Cardoso Lamy, Tandy Warnow, and George Chacko (2024) Journal of Open Source Software)
- 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 (Accepted for publication in Complex Networks 2023)
- 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
Articles in Conference Proceedings
- Park et al. (2024) Identifying Well-Connected Communities in Real-World and Synthetic Networks. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1142. Springer, Cham. https://doi.org/10.1007/978-3-031-53499-7_1
Pending Articles
- Park et al. (2024) Well-Connectedness and Community Detection (in review PLOS Complex Systems)
Invited Lectures
Other Scholarly Activities
- Program Committee, International Society for Scientometrics and Informetrics (ISSI) 2023
Recent Courses Taught
- CS 598 GGC - Computational Scientometrics