Mark E. Kotanchek

1.2k citations
31 papers · 950 · 1 hit paper · h-index 13

Impact in

Papers in

Mark E. Kotanchek

25 papers receiving 901 citations

Mark E. Kotanchek's Hit Papers

Fault diagnosis based on Fisher discriminant analysis and support vector machines 2003 · 460 citations
4600+7+15Years since publication100200300400

Peers

Mark E. Kotanchek
Comparison fields: 5 of 92
  • Control and Systems Engineering 450
  • Analytical Chemistry 167
  • Artificial Intelligence 400
  • Statistics, Probability and Uncertainty 73
  • Mechanical Engineering 284
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Citations per year

Countries citing papers authored by Mark E. Kotanchek

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Kotanchek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Kotanchek. 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 Mark E. Kotanchek. The network helps show where Mark E. Kotanchek may publish in the future.

Co-authors

The 16 scholars most cited alongside Mark E. Kotanchek, 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 Mark E. Kotanchek Line = papers co-authored together Mark E. Kotanchek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fault diagnosis based on Fisher discriminant analysis and support vector machines
Hit paper breakdown →
2003460
2 2006176
3 200643
4 200736
5 201426
6 200626
7 200726
8 200324
9 200923
10 201621
11 200813
12 201613
13 201513
14 201011
15 20058
16 19967
17 20136
18 20144
19 20024
20 20072

About Mark E. Kotanchek

Mark E. Kotanchek is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Control and Systems Engineering and Management Science and Operations Research, having authored 31 papers that have together received 950 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (14 papers), Neural Networks and Applications (4 papers), Gene Regulatory Network Analysis (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (450 citations), Analytical Chemistry (167 citations), Artificial Intelligence (400 citations), Statistics, Probability and Uncertainty (73 citations) and Mechanical Engineering (284 citations). Mark E. Kotanchek has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Arthur K. Kordon, Leo H. Chiang, Guido F. Smits, Ekaterina Vladislavleva, Rick Riolo, Elsa M. Jordaan, Jason H. Moore, John Dzielski, William P. Worzel and Lander Willem. Their work appears in journals such as IEEE Transactions on Signal Processing, Computers & Chemical Engineering, Signal Processing, Ghent University Academic Bibliography (Ghent University) and Genetic and evolutionary computation.

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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