Sameep Mehta
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in ⓘ
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- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 6
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- Data Quality and Management 8
- Co-authors
- Amitabha Bagchi (6 shared papers)Nitin Gupta (12 shared papers)Srinivasan Parthasarathy (11 shared papers)Karthikeyan Natesan Ramamurthy (3 shared papers)Michael Hind (3 shared papers)Kush R. Varshney (3 shared papers)Aleksandra Mojsilović (3 shared papers)Anindya Neogi (1 shared paper)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)IEEE Software (1 paper)IEEE Transactions on Human-Machine Systems (1 paper)IBM Journal of Research and Development (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Sameep Mehta
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Health Informatics 90
- Safety Research 270
- Artificial Intelligence 483
- Information Systems 312
- Statistical and Nonlinear Physics 168
Countries citing papers authored by Sameep Mehta
This map shows the geographic impact of Sameep Mehta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sameep Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameep Mehta more than expected).
Fields of papers citing papers by Sameep Mehta
This network shows the impact of papers produced by Sameep Mehta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sameep Mehta. The network helps show where Sameep Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameep Mehta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 422 | |
| 2 | 2020 | 156 | |
| 3 | 2010 | 102 | |
| 4 | 2021 | 59 | |
| 5 | 2008 | 51 | |
| 6 | 2013 | 45 | |
| 7 | 2017 | 43 | |
| 8 | 2012 | 39 | |
| 9 | 2005 | 38 | |
| 10 | 2015 | 36 | |
| 11 | 2018 | 22 | |
| 12 | 2013 | 20 | |
| 13 | 2008 | 20 | |
| 14 | 2017 | 18 | |
| 15 | 2019 | 18 | |
| 16 | Increasing Trust in AI Services through Supplier's Declarations of Conformity | 2018 | 17 |
| 17 | 2005 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2015 | 15 |
About Sameep Mehta
Sameep Mehta is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Data Quality and Management (8 papers), Time Series Analysis and Forecasting (7 papers), Topic Modeling (7 papers), Data Management and Algorithms (6 papers), Opinion Dynamics and Social Influence (6 papers), Advanced Text Analysis Techniques (6 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Health Informatics (90 citations), Safety Research (270 citations), Artificial Intelligence (483 citations), Information Systems (312 citations) and Statistical and Nonlinear Physics (168 citations). Sameep Mehta has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Amitabha Bagchi, Nitin Gupta, Srinivasan Parthasarathy, Karthikeyan Natesan Ramamurthy, Michael Hind, Kush R. Varshney, Aleksandra Mojsilović, Anindya Neogi, Pranay Lohia and Kuntal Dey. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), IEEE Software, IEEE Transactions on Human-Machine Systems, IBM Journal of Research and Development and Expert Systems with Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.