Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI: h-index, Total Citations, and Citation Map
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI's h-index is 95 (345 i10-index, 96,484+ total citations across 100+ publications) according to Google Scholar as of June 2026. Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI 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, AAAS, AAAI 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 United States.
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 95
- i10-Index
- 345
- Total Citations
- 96,484
- Citing Countries
- 16
As of June 2026.
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI has an h-index of 95 and 96,484 total citations across 100 publications, with research cited by institutions in 16 countries.
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SMOTE: synthetic minority over-sampling technique
200245,372
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About Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI's research
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI 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 95), 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, AAAS, AAAI's research come primarily from United States, China and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
