Michael Baron

619 citations
34 papers · 353 · h-index 13

Impact in

Papers in

Michael Baron

32 papers receiving 333 citations

Peers

Michael Baron
Comparison fields: 5 of 107
  • Statistics, Probability and Uncertainty 92
  • Statistics and Probability 105
  • Management Science and Operations Research 42
  • Artificial Intelligence 71
  • Developmental Neuroscience 8
Replace Jianhui Zhou with:
Jianhui Zhou United States
Mostafa Nouri-Baygi Iran
Jiaji Huang United States
Rudolf Seising Germany
Richard J. Caron Canada
Mohamed A. El-Sayed Egypt
Boxiang Wang China
Yasuhiro Sogawa Japan
Marcel Jiřina Czechia
Takanori Inazumi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael Baron

Since Specialization
Citations

This map shows the geographic impact of Michael Baron'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 Michael Baron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Baron more than expected).

Fields of papers citing papers by Michael Baron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Baron. 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 Michael Baron. The network helps show where Michael Baron may publish in the future.

Co-authors

The 20 scholars most cited alongside Michael Baron, 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 Michael Baron Line = papers co-authored together Michael Baron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202033
2 200633
3 201227
4 201226
5 201324
6 200018
7 200716
8 200915
9 200413
10 201313
11 202213
12 201913
13 200812
14 202211
15 202111
16 199911
17 202110
18 20038
19 20148
20 20217

About Michael Baron

Michael Baron is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research, having authored 34 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (16 papers), Statistical Methods and Inference (8 papers), Statistical Methods in Clinical Trials (6 papers), Optimal Experimental Design Methods (4 papers), Fault Detection and Control Systems (4 papers), Anomaly Detection Techniques and Applications (3 papers), Data Stream Mining Techniques (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (92 citations), Statistics and Probability (105 citations), Management Science and Operations Research (42 citations), Artificial Intelligence (71 citations) and Developmental Neuroscience (8 citations). Michael Baron has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Alexander G. Tartakovsky, Kathleen F. Holton, James N. Baraniuk, Anna E. Kirkland, Harold C. Urschel, Andrew L. Rukhin, Roberto Corizzo, Nathalie Japkowicz, Ryan Gill and Pankaj K. Choudhary. Their work appears in journals such as Journal of Statistical Planning and Inference, Sequential Analysis, Nutritional Neuroscience, Frontiers in Psychiatry and Nutrients.

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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