Moninder Singh
- Health Informatics top 2%
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference 8
- Explainable Artificial Intelligence (XAI) 7
- Adversarial Robustness in Machine Learning 4
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- Data Quality and Management 7
- Scheduling and Timetabling Solutions 3
- Information Systems top 5%
- Data Mining Algorithms and Applications 5
- Safety Research top 10%
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- Big Data and Business Intelligence 4
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- Advanced Statistical Process Monitoring 3
- Co-authors
- Aman KatariaMarco ValtortaGregory ProvanSteven W. NortonMarco GruteserSastry DuriKush R. VarshneyRonald Perez
- Journals
- IEEE Internet Computing (1 paper)International Journal of Approximate Reasoning (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Moninder Singh
52 papers receiving 888 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 61
- Artificial Intelligence 560
- Management Science and Operations Research 94
- Information Systems 162
- Safety Research 60
Countries citing papers authored by Moninder Singh
This map shows the geographic impact of Moninder Singh'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 Moninder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moninder Singh more than expected).
Fields of papers citing papers by Moninder Singh
This network shows the impact of papers produced by Moninder Singh. 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 Moninder Singh. The network helps show where Moninder Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moninder Singh, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 76 | |
| 5 | AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models | 2020 | 37 |
| 6 | 2017 | 3 | |
| 7 | A Review of Data Classification Using K-Nearest Neighbour Algorithm | 2013 | 101 |
| 8 | INTERACTIVE VISUAL SALESFORCE ANALYTICS | 2012 | 6 |
| 9 | 2012 | 3 | |
| 10 | 2012 | 20 | |
| 11 | 2011 | 8 | |
| 12 | Winning the KDD Cup Orange Challenge with ensemble selection | 2009 | 39 |
| 13 | 2008 | 19 | |
| 14 | An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry. | 1997 | 2 |
| 15 | Learning Bayesian networks from incomplete data | 1997 | 27 |
| 16 | Induction of selective Bayesian networks from data | 1996 | 1 |
| 17 | Data mining and model simplicity: a case study in diagnosis | 1996 | 5 |
| 18 | Learning goal oriented Bayesian networks for telecommunications risk management | 1996 | 81 |
| 19 | Efficient learning of selective Bayesian network classifiers | 1996 | 60 |
| 20 | 1995 | 101 |
About Moninder Singh
Moninder Singh is a scholar working on Health Informatics, Management Science and Operations Research and Management Information Systems, having authored 53 papers that have together received 958 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Explainable Artificial Intelligence (XAI) (7 papers), Data Quality and Management (7 papers), Data Mining Algorithms and Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers), Big Data and Business Intelligence (4 papers), Scheduling and Timetabling Solutions (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Health Informatics (61 citations), Artificial Intelligence (560 citations) and Management Science and Operations Research (94 citations). Moninder Singh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Aman Kataria, Marco Valtorta, Gregory Provan, Steven W. Norton, Marco Gruteser, Sastry Duri, Kush R. Varshney, Ronald Perez, P. A. Moskowitz and Xuan Liu. Their work appears in journals such as IEEE Internet Computing, International Journal of Approximate Reasoning, JAMA Network Open, IEEE Software and Service Science.
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.