Nitesh V Chawla, Fellow: ACM, IEEE,... Google Scholar: h-index, Total Citations, and Citation Map
Nitesh V Chawla, Fellow: ACM, IEEE,...'s h-index is 98 (354 i10-index, 96,484+ total citations across 100+ publications) according to Google Scholar as of October 2026. Nitesh V Chawla, Fellow: ACM, IEEE,... is affiliated with Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame.
Nitesh V Chawla, Fellow: ACM, IEEE,... is a researcher affiliated with Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame, specializing in Data science, artificial intelligence, network science. Their work has been cited 96,484 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Nitesh V Chawla, Fellow: ACM, IEEE,...'s Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 98
- i10-Index
- 354
- Total Citations
- 96,484
- Citing Countries
- 76
As of October 2026.
Nitesh V Chawla, Fellow: ACM, IEEE,... has an h-index of 98 and 96,484 total citations across 100 publications, with research cited by institutions in 76 countries.
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SMOTE: synthetic minority over-sampling technique
200245,372
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Nitesh V Chawla, Fellow: ACM, IEEE,...'s research
Nitesh V Chawla, Fellow: ACM, IEEE,... is a researcher in Data science, artificial intelligence and network science at Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame. Their work has been cited 96,484 times across 100 publications (h-index 98), according to Google Scholar.
Their most-cited work, “SMOTE: synthetic minority over-sampling technique” (2002), has accumulated 45,372 citations. Other influential works include “Special issue on learning from imbalanced data sets” (2004) with 3,246 citations and “metapath2vec: Scalable representation learning for heterogeneous networks” (2017) with 3,219 citations.
Citations of Nitesh V Chawla, Fellow: ACM, IEEE,...'s research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
