S. Nagar
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Interconnection Networks and Systems 2
- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
- Software-Defined Networks and 5G 1
-
- Cloud Computing and Resource Management 2
- Recommender Systems and Techniques 1
- Co-authors
- Manjeet Singh (1 shared paper)Kalapriya Kannan (1 shared paper)Kush R. Varshney (1 shared paper)Karthikeyan Natesan Ramamurthy (1 shared paper)Rachel Bellamy (1 shared paper)Michael Hind (1 shared paper)Sameep Mehta (1 shared paper)John T. Richards (1 shared paper)
- Journals
- IBM Journal of Research and Development (3 papers)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
S. Nagar
8 papers receiving 480 citations
S. Nagar's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Informatics 76
- Safety Research 243
- Artificial Intelligence 220
- Hardware and Architecture 30
- Computer Science Applications 21
Countries citing papers authored by S. Nagar
This map shows the geographic impact of S. Nagar'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 S. Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Nagar more than expected).
Fields of papers citing papers by S. Nagar
This network shows the impact of papers produced by S. Nagar. 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 S. Nagar. The network helps show where S. Nagar may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Nagar, 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 | AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias Hit paper breakdown → | 2019 | 453 |
| 2 | 2005 | 39 | |
| 3 | 2002 | 3 | |
| 4 | 2009 | 2 | |
| 5 | 2002 | 2 | |
| 6 | 2004 | 1 | |
| 7 | Co-Ordinated Coscheduling in Clusters through a Generic Framework | 2002 | 1 |
| 8 | 2014 | 1 |
About S. Nagar
S. Nagar is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Management Information Systems and Sociology and Political Science, having authored 8 papers that have together received 502 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Cloud Computing and Resource Management (2 papers), Interconnection Networks and Systems (2 papers), Distributed and Parallel Computing Systems (2 papers), Software System Performance and Reliability (1 paper), Business Process Modeling and Analysis (1 paper), Software-Defined Networks and 5G (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Health Informatics (76 citations), Safety Research (243 citations), Artificial Intelligence (220 citations), Hardware and Architecture (30 citations) and Computer Science Applications (21 citations). S. Nagar has collaborated with scholars based in United States, India and China. Frequent co-authors include Manjeet Singh, Kalapriya Kannan, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Rachel Bellamy, Michael Hind, Sameep Mehta, John T. Richards, Diptikalyan Saha and Stephanie Houde. Their work appears in journals such as IBM Journal of Research and Development and University of North Texas Digital Library (University of North Texas).
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.