Evan L. Russell

22.6k citations
14 papers · 2.3k indexed · 3 hit papers · h-index 8

Evan L. Russell

13 papers receiving 2.2k citations

Hit Papers

Fault Detection and Diagnosis in Industrial Systems2000202620082017200120002000250500750

Peers

Evan L. Russell
Comparison fields: 5 of 101
  • Control and Systems Engineering 2.1k
  • Mechanical Engineering 1.2k
  • Analytical Chemistry 776
  • Statistics, Probability and Uncertainty 527
  • Artificial Intelligence 198
Replace James J. Downs with:
James J. Downs United States
Thomas E. Marlin Canada
Yingwei Zhang China
Iori Hashimoto Japan
Jong‐Min Lee South Korea
E. F. Vogel United States
Ricardo Dunia United States
Kewen Yin United States
Paul Nomikos Canada
Evan L. Russell relative to James J. Downs United States James J. Downs's profile →
Citations per field
00.5×1.5×
James J. Downs · 1×
Citations per year

Countries citing papers authored by Evan L. Russell

Since Specialization
Citations

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

Fields of papers citing papers by Evan L. Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan L. Russell. 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 Evan L. Russell. The network helps show where Evan L. Russell may publish in the future.

Co-authorship network of co-authors of Evan L. Russell

This figure shows the co-authorship network connecting the top 25 collaborators of Evan L. Russell. A scholar is included among the top collaborators of Evan L. Russell 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 Evan L. Russell. Evan L. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 7
3 4
4 6
5 4
6
Fault Detection and Diagnosis in Industrial Systemsbreakdown →
961
7 6
8
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysisbreakdown →
509
9 316
10
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysisbreakdown →
419
11 15
12 22
13
Process Monitoring of Large Scale Systems
1
14 24

About Evan L. Russell

Evan L. Russell is a scholar working on Control and Systems Engineering, Analytical Chemistry and Statistical and Nonlinear Physics, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Advanced Control Systems Optimization (4 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Analytical Chemistry (776 citations) and Statistics, Probability and Uncertainty (527 citations). Evan L. Russell has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Richard D. Braatz, Leo H. Chiang, Rudiyanto Gunawan, Aaron E. Katz, Ward B. Davis, Yoann Lévy, D. Margarone and L. Giuffrida. Their work appears in journals such as Computers & Chemical Engineering, Applied Sciences and Chemometrics and Intelligent Laboratory 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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