Michael Baron

32 papers receiving 325 citations

Peers

Michael Baron
Comparison fields: 5 of 112
  • Statistics, Probability and Uncertainty 89
  • Statistics and Probability 102
  • Management Science and Operations Research 42
  • Developmental Neuroscience 9
  • Artificial Intelligence 67
Replace Jianhui Zhou with:
Jianhui Zhou United States
Mostafa Nouri-Baygi Iran
Kirti R. Shah Canada
Jiaji Huang United States
Richard J. Caron Canada
Mohamed A. El-Sayed Egypt
Rudolf Seising Germany
Chia-Yi Chiu United States
Dilan Görür United Kingdom
Marcel Jiřina Czechia
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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 200632
3 201226
4 201225
5 201324
6 200018
7 200716
8 200915
9 201313
10 202213
11 200412
12 200812
13 201912
14 202211
15 202111
16 199911
17 20218
18 20148
19 20038
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 345 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), Fault Detection and Control Systems (4 papers), Optimal Experimental Design Methods (4 papers), Biochemical effects in animals (3 papers), Data Stream Mining Techniques (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (89 citations), Statistics and Probability (102 citations), Management Science and Operations Research (42 citations), Developmental Neuroscience (9 citations) and Artificial Intelligence (67 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, Frontiers in Psychiatry, IEEE Transactions on Semiconductor Manufacturing and Knowledge-Based Systems.

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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