Shanu Sushmita

499 total citations
13 papers, 304 citations indexed

About

Shanu Sushmita is a scholar working on Artificial Intelligence, Information Systems and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shanu Sushmita has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shanu Sushmita's work include Machine Learning in Healthcare (5 papers), Information Retrieval and Search Behavior (4 papers) and Chronic Disease Management Strategies (3 papers). Shanu Sushmita is often cited by papers focused on Machine Learning in Healthcare (5 papers), Information Retrieval and Search Behavior (4 papers) and Chronic Disease Management Strategies (3 papers). Shanu Sushmita collaborates with scholars based in United States, United Kingdom and Belgium. Shanu Sushmita's co-authors include Martine De Cock, Sergio Davalos, Golnoosh Farnadi, Mounia Lalmas, Marie‐Francine Moens, Fabio Celli, David Stillwell, Michał Kosiński, Hideo Joho and Robert Villa and has published in prestigious journals such as User Modeling and User-Adapted Interaction, ACM SIGIR Forum and National Conference on Artificial Intelligence.

In The Last Decade

Shanu Sushmita

13 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanu Sushmita United States 7 120 83 80 46 43 13 304
Braja Gopal Patra United States 12 180 1.5× 57 0.7× 77 1.0× 67 1.5× 41 1.0× 44 461
Jing Mei China 10 200 1.7× 57 0.7× 28 0.3× 103 2.2× 29 0.7× 58 434
Maja Hadzic Australia 11 154 1.3× 93 1.1× 25 0.3× 32 0.7× 29 0.7× 38 357
Sí­lvio César Cazella Brazil 8 62 0.5× 86 1.0× 31 0.4× 20 0.4× 35 0.8× 83 325
William Van Woensel Canada 8 71 0.6× 45 0.5× 45 0.6× 17 0.4× 37 0.9× 37 271
Xiaolei Huang United States 10 135 1.1× 27 0.3× 20 0.3× 51 1.1× 57 1.3× 24 275
Surina He Canada 6 90 0.8× 26 0.3× 28 0.3× 41 0.9× 32 0.7× 12 267
Ailbhe N. Finnerty United Kingdom 9 39 0.3× 17 0.2× 32 0.4× 42 0.9× 32 0.7× 17 371
Asma Hassan Qatar 8 77 0.6× 173 2.1× 21 0.3× 31 0.7× 33 0.8× 11 386
Ugur Kursuncu United States 8 191 1.6× 49 0.6× 61 0.8× 172 3.7× 50 1.2× 16 362

Countries citing papers authored by Shanu Sushmita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shanu Sushmita

This figure shows the co-authorship network connecting the top 25 collaborators of Shanu Sushmita. A scholar is included among the top collaborators of Shanu Sushmita 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 Shanu Sushmita. Shanu Sushmita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Singh, Pooja, et al.. (2023). Yield and Nutrient Uptake of Green Gram (Vigna radiata L.) and Weeds as Influenced by Different Integrated Weed Management Practices in Western Uttar Pradesh. Zenodo (CERN European Organization for Nuclear Research). 8(3). 1 indexed citations
2.
Sushmita, Shanu, et al.. (2016). Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. National Conference on Artificial Intelligence. 453–461. 14 indexed citations
3.
Sushmita, Shanu, et al.. (2016). Sequence Based Prediction of Hospital Readmissions. 489–490. 2 indexed citations
4.
Farnadi, Golnoosh, Shanu Sushmita, Fabio Celli, et al.. (2016). Computational personality recognition in social media. User Modeling and User-Adapted Interaction. 26(2-3). 109–142. 137 indexed citations
5.
Sushmita, Shanu, et al.. (2016). Risk Stratification for Hospital Readmission of Heart Failure Patients. 491–492. 6 indexed citations
6.
Sushmita, Shanu, et al.. (2016). Predicting Future Frequent Users of Emergency Departments in California State. 603–610. 8 indexed citations
7.
Sushmita, Shanu, et al.. (2015). Population Cost Prediction on Public Healthcare Datasets. 87–94. 36 indexed citations
8.
Farnadi, Golnoosh, et al.. (2014). A Multivariate Regression Approach to Personality Impression Recognition of Vloggers. 1–6. 28 indexed citations
9.
Srinivasan, Rajagopalan, et al.. (2014). HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs. 43. 1227–1230. 4 indexed citations
10.
Sushmita, Shanu. (2012). Study of result presentation and interaction for aggregated search. ACM SIGIR Forum. 46(1). 86–87. 2 indexed citations
11.
Sushmita, Shanu, Hideo Joho, Mounia Lalmas, & Robert Villa. (2010). Factors affecting click-through behavior in aggregated search interfaces. 519–528. 51 indexed citations
12.
Sushmita, Shanu, Hideo Joho, Mounia Lalmas, & Joemon M. Jose. (2009). Understanding domain "relevance" in web search. 5 indexed citations
13.
Sushmita, Shanu, et al.. (2008). Using digest pages to increase user result space: Preliminary designs. 10 indexed citations

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.

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2026