Ankur Teredesai
- Artificial Intelligence top 2%
- Information Systems top 2%
- Surgery
- Epidemiology
- Health Information Management top 0.5%
- Co-authors
- Muhammad Aurangzeb AhmadCarly EckertMartine De CockPatricia VictorChris CornelisHoward RoutmanChristopher RochePierre-Henri Flurin
- Topics
- Machine Learning in Healthcare (17 papers)Data Management and Algorithms (9 papers)Artificial Intelligence in Healthcare (6 papers)
- Journals
- Clinical Orthopaedics and Related ResearchPattern RecognitionJournal of Shoulder and Elbow Surgery
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Ankur Teredesai
80 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 638
- Information Systems 348
- Surgery 270
- Epidemiology 218
- Health Information Management 195
Countries citing papers authored by Ankur Teredesai
This map shows the geographic impact of Ankur Teredesai'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 Ankur Teredesai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur Teredesai more than expected).
Fields of papers citing papers by Ankur Teredesai
This network shows the impact of papers produced by Ankur Teredesai. 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 Ankur Teredesai. The network helps show where Ankur Teredesai may publish in the future.
Co-authorship network of co-authors of Ankur Teredesai
This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Teredesai. A scholar is included among the top collaborators of Ankur Teredesai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankur Teredesai. Ankur Teredesai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 77 | |
| 6 | 0 | |
| 7 | 60 | |
| 8 | 65 | |
| 9 | The Challenge of Imputation in Explainable Artificial Intelligence Models | 1 |
| 10 | 135 | |
| 11 | Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions | 14 |
| 12 | 1 | |
| 13 | Age and gender identification in social media | 38 |
| 14 | 4 | |
| 15 | Trust- and Distrust-Based Recommendations for Controversial Reviews | 18 |
| 16 | Modeling spread of ideas in online social networks | 4 |
| 17 | Modeling Proliferation of Ideas in Online Social Networks. | 1 |
| 18 | VENUS: A System for Novelty Detection in Video Streams with Learning. | 6 |
| 19 | 17 | |
| 20 | On-Line Digit Recognition Using Off-Line Features. | 6 |
About Ankur Teredesai
Ankur Teredesai is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (17 papers), Data Management and Algorithms (9 papers) and Artificial Intelligence in Healthcare (6 papers). The work is most often cited by research in Health Informatics (180 citations), Health Information Management (195 citations) and Artificial Intelligence (638 citations). Ankur Teredesai has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Muhammad Aurangzeb Ahmad, Carly Eckert, Martine De Cock, Patricia Victor, Chris Cornelis, Howard Routman, Christopher Roche, Pierre-Henri Flurin, Thomas W. Wright and Ryan W. Simovitch. Their work appears in journals such as Clinical Orthopaedics and Related Research, Pattern Recognition and Journal of Shoulder and Elbow Surgery.
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.