Moninder Singh

2.7k citations
53 papers · 978 · h-index 18

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Bayesian Modeling and Causal Inference
    • Imbalanced Data Classification Techniques
    • Explainable Artificial Intelligence (XAI)
    • Machine Learning and Data Classification
    • Privacy-Preserving Technologies in Data

Papers in

Moninder Singh

52 papers receiving 910 citations

Peers

Moninder Singh
Comparison fields: 5 of 115
  • Health Informatics 57
  • Artificial Intelligence 554
  • Management Science and Operations Research 94
  • Information Systems 164
  • Safety Research 57
Replace Dave Braines with:
Dave Braines United Kingdom
Linyi Yang China
Maarten van Someren Netherlands
Johannes Schneider Switzerland
Kaijie Zhu China
Yuan Wu China
Cunxiang Wang China
Xiaoyuan Yi China
Moninder Singh relative to Dave Braines United Kingdom Dave Braines's profile →
Citations per field
00.5×1.5×
Dave Braines · 1×
Citations per year

Countries citing papers authored by Moninder Singh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Moninder Singh Line = papers co-authored together Moninder Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review of Data Classification Using K-Nearest Neighbour Algorithm
2013104
2 2002102
3 1995101
4 202183
5
Learning goal oriented Bayesian networks for telecommunications risk management
199681
6
Efficient learning of selective Bayesian network classifiers
199660
7
Winning the KDD Cup Orange Challenge with ensemble selection
200939
8
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
202037
9 202031
10
Learning Bayesian networks from incomplete data
199727
11 202223
12 200422
13 202021
14 202121
15 201220
16 200819
17 200019
18 201917
19 201914
20 201511

About Moninder Singh

Moninder Singh is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Management Information Systems and Signal Processing, having authored 53 papers that have together received 978 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (7 papers), Explainable Artificial Intelligence (XAI) (7 papers), Data Mining Algorithms and Applications (5 papers), Big Data and Business Intelligence (4 papers), Adversarial Robustness in Machine Learning (4 papers), Scheduling and Timetabling Solutions (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Health Informatics (57 citations), Artificial Intelligence (554 citations), Management Science and Operations Research (94 citations), Information Systems (164 citations) and Safety Research (57 citations). Moninder Singh has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Aman Kataria, Marco Valtorta, Gregory Provan, Steven W. Norton, Marco Gruteser, Sastry Duri, Kush R. Varshney, Jianying Hu, Ronald Perez and Xuan Liu. Their work appears in journals such as Service Science, IEEE Internet Computing, Journal of Machine Learning Research, International Journal of Approximate Reasoning and Mobile Networks and Applications.

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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