Shanu Sushmita
Impact in
- Health Information Management top 10%
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- Personality Traits and Psychology
- Personality Disorders and Psychopathology
Papers in
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- Machine Learning in Healthcare 5
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- Information Retrieval and Search Behavior 4
- Web Data Mining and Analysis 3
- Co-authors
- Martine De Cock (8 shared papers)Sergio Davalos (2 shared papers)Golnoosh Farnadi (2 shared papers)Mounia Lalmas (3 shared papers)Michał Kosiński (1 shared paper)Marie‐Francine Moens (1 shared paper)Fabio Celli (1 shared paper)David Stillwell (1 shared paper)
- Journals
- ACM SIGIR Forum (1 paper)User Modeling and User-Adapted Interaction (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Shanu Sushmita
13 papers receiving 290 citations
Peers
Comparison fields: 5 of 63
- Health Information Management 24
- Clinical Psychology 80
- Artificial Intelligence 120
- Information Systems 83
- Experimental and Cognitive Psychology 35
Countries citing papers authored by Shanu Sushmita
This map shows the geographic impact of Shanu Sushmita'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 Shanu Sushmita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanu Sushmita more than expected).
Fields of papers citing papers by Shanu Sushmita
This network shows the impact of papers produced by Shanu Sushmita. 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 Shanu Sushmita. The network helps show where Shanu Sushmita may publish in the future.
Co-authors
The 16 scholars most cited alongside Shanu Sushmita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 137 | |
| 2 | 2010 | 51 | |
| 3 | 2015 | 36 | |
| 4 | 2014 | 28 | |
| 5 | Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions | 2016 | 14 |
| 6 | Using digest pages to increase user result space: Preliminary designs | 2008 | 10 |
| 7 | 2016 | 8 | |
| 8 | 2016 | 6 | |
| 9 | Understanding domain "relevance" in web search | 2009 | 5 |
| 10 | 2014 | 4 | |
| 11 | 2016 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2023 | 1 |
About Shanu Sushmita
Shanu Sushmita is a scholar working on Artificial Intelligence, Information Systems, Cardiology and Cardiovascular Medicine, Epidemiology and Social Psychology, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Information Retrieval and Search Behavior (4 papers), Heart Failure Treatment and Management (3 papers), Chronic Disease Management Strategies (3 papers), Web Data Mining and Analysis (3 papers), Data Management and Algorithms (2 papers), Personality Traits and Psychology (2 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). The work is most often cited by research in Health Information Management (24 citations), Clinical Psychology (80 citations), Artificial Intelligence (120 citations), Information Systems (83 citations) and Experimental and Cognitive Psychology (35 citations). Shanu Sushmita has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Martine De Cock, Sergio Davalos, Golnoosh Farnadi, Mounia Lalmas, Michał Kosiński, Marie‐Francine Moens, Fabio Celli, David Stillwell, Hideo Joho and Robert Villa. Their work appears in journals such as ACM SIGIR Forum, User Modeling and User-Adapted Interaction, Zenodo (CERN European Organization for Nuclear Research) and National Conference on Artificial Intelligence.
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.