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).
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 of co-authors of Moninder Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Moninder Singh.
A scholar is included among the top collaborators of Moninder Singh 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 Moninder Singh. Moninder Singh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Arya, Vijay, Rachel Bellamy, Pin‐Yu Chen, et al.. (2020). AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. Journal of Machine Learning Research. 21(130). 1–6.37 indexed citations
5.
Arya, Vijay, Rachel Bellamy, Pin‐Yu Chen, et al.. (2020). AI Explainability 360 Toolkit. 376–379.19 indexed citations
Niculescu-Mizil, Alexandru, Claudia Perlich, Grzegorz Świrszcz, et al.. (2009). Winning the KDD Cup Orange Challenge with ensemble selection. Knowledge Discovery and Data Mining. 23–34.39 indexed citations
Singh, Moninder. (1997). Learning Bayesian networks from incomplete data. National Conference on Artificial Intelligence. 534–539.27 indexed citations
15.
Morgenstern, Leora & Moninder Singh. (1997). An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry.. International Joint Conference on Artificial Intelligence. 655–661.2 indexed citations
16.
Provan, Gregory & Moninder Singh. (1996). Data mining and model simplicity: a case study in diagnosis. Knowledge Discovery and Data Mining. 57–62.5 indexed citations
17.
Singh, Moninder. (1996). Induction of selective Bayesian networks from data. National Conference on Artificial Intelligence. 1371–1371.1 indexed citations
18.
Singh, Moninder, et al.. (1996). Learning goal oriented Bayesian networks for telecommunications risk management. International Conference on Machine Learning. 139–147.81 indexed citations
19.
Singh, Moninder & Gregory Provan. (1996). Efficient learning of selective Bayesian network classifiers. International Conference on Machine Learning. 37(Suppl 3). 453–461.60 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.