Shanu Sushmita
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
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- Personality Traits and Psychology
Papers in
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- Machine Learning in Healthcare 5
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- Information Retrieval and Search Behavior 5
- Web Data Mining and Analysis 3
- Co-authors
- Martine De Cock (8 shared papers)Mounia Lalmas-Roelleke (5 shared papers)Golnoosh Farnadi (2 shared papers)Sergio V. Davalos (2 shared papers)Hideo Joho (3 shared papers)David J. Stillwell (1 shared paper)Fabio Celli (1 shared paper)Marie‐Francine Moens (1 shared paper)
- Journals
- User Modeling and User-Adapted Interaction (1 paper)ACM SIGIR Forum (1 paper)Lecture notes in computer science (3 papers)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)Ghent University Academic Bibliography (Ghent University) (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Shanu Sushmita
16 papers receiving 376 citations
Peers
Comparison fields: 5 of 68
- Information Systems 122
- Clinical Psychology 98
- Health Information Management 21
- Artificial Intelligence 147
- Computer Science Applications 20
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 20 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 | 169 | |
| 2 | 2010 | 60 | |
| 3 | 2015 | 39 | |
| 4 | 2014 | 34 | |
| 5 | 2009 | 20 | |
| 6 | Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions | 2016 | 14 |
| 7 | 2010 | 11 | |
| 8 | Using digest pages to increase user result space: Preliminary designs | 2008 | 10 |
| 9 | 2016 | 9 | |
| 10 | 2007 | 7 | |
| 11 | 2016 | 6 | |
| 12 | Understanding domain "relevance" in web search | 2009 | 6 |
| 13 | 2014 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2012 | 2 | |
| 16 | 2023 | 1 |
About Shanu Sushmita
Shanu Sushmita is a scholar working on Artificial Intelligence, Information Systems, Cardiology and Cardiovascular Medicine, Signal Processing and Demography, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (5 papers), Machine Learning in Healthcare (5 papers), Chronic Disease Management Strategies (3 papers), Web Data Mining and Analysis (3 papers), Heart Failure Treatment and Management (3 papers), Personality Traits and Psychology (2 papers), Data Management and Algorithms (2 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). The work is most often cited by research in Information Systems (122 citations), Clinical Psychology (98 citations), Health Information Management (21 citations), Artificial Intelligence (147 citations) and Computer Science Applications (20 citations). Shanu Sushmita has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Martine De Cock, Mounia Lalmas-Roelleke, Golnoosh Farnadi, Sergio V. Davalos, Hideo Joho, David J. Stillwell, Fabio Celli, Marie‐Francine Moens, Michał Kosiński and Robert Villa. Their work appears in journals such as User Modeling and User-Adapted Interaction, ACM SIGIR Forum, Lecture notes in computer science, White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and Ghent University Academic Bibliography (Ghent University).
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.