Sameena Shah
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 15
- Advanced Text Analysis Techniques 14
- Natural Language Processing Techniques 7
- Sentiment Analysis and Opinion Mining 6
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- Misinformation and Its Impacts 6
- Co-authors
- Quanzhi Li (18 shared papers)Xiaomo Liu (17 shared papers)Armineh Nourbakhsh (20 shared papers)Rui Fang (14 shared papers)Masoud Makrehchi (1 shared paper)Wenhui Liao (1 shared paper)Robert Martin (2 shared papers)Manuela Veloso (2 shared papers)
- Journals
- Swarm Intelligence (2 papers)Oxford Review of Economic Policy (1 paper)Kidney International Reports (1 paper)New Directions for Child and Adolescent Development (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Sameena Shah
42 papers receiving 728 citations
Sameena Shah's Hit Papers
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 217
- Artificial Intelligence 412
- Communication 67
- Information Systems 216
- Management Science and Operations Research 93
Countries citing papers authored by Sameena Shah
This map shows the geographic impact of Sameena Shah'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 Sameena Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameena Shah more than expected).
Fields of papers citing papers by Sameena Shah
This network shows the impact of papers produced by Sameena Shah. 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 Sameena Shah. The network helps show where Sameena Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameena Shah, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Real-time Rumor Debunking on Twitter Hit paper breakdown → | 2015 | 237 |
| 2 | 2013 | 58 | |
| 3 | 2016 | 42 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 39 | |
| 6 | 2017 | 36 | |
| 7 | 2023 | 28 | |
| 8 | 2016 | 25 | |
| 9 | 2017 | 23 | |
| 10 | 2016 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2016 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2016 | 13 | |
| 16 | Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training | 2021 | 12 |
| 17 | 2013 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2016 | 10 | |
| 20 | 2023 | 9 |
About Sameena Shah
Sameena Shah is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 44 papers that have together received 783 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Advanced Text Analysis Techniques (14 papers), Natural Language Processing Techniques (7 papers), Complex Network Analysis Techniques (7 papers), Misinformation and Its Impacts (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Stock Market Forecasting Methods (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (217 citations), Artificial Intelligence (412 citations), Communication (67 citations), Information Systems (216 citations) and Management Science and Operations Research (93 citations). Sameena Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Quanzhi Li, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang, Masoud Makrehchi, Wenhui Liao, Robert Martin, Manuela Veloso, Suresh Chandra and Daniel Borrajo. Their work appears in journals such as Swarm Intelligence, Oxford Review of Economic Policy, Kidney International Reports, New Directions for Child and Adolescent Development and Pattern Recognition.
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.