Steven Corns

68 papers receiving 642 citations

Peers

Steven Corns
Comparison fields: 5 of 118
  • Management Information Systems 78
  • Media Technology 45
  • Environmental Engineering 66
  • Industrial and Manufacturing Engineering 47
  • Management of Technology and Innovation 30
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Igor G. Olaizola Spain
Maxim Shcherbakov Russia
Zulkefli Mansor Malaysia
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Georgios Leontidis United Kingdom
Anil Jadhav India
Xin An China
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Citations per year

Countries citing papers authored by Steven Corns

Since Specialization
Citations

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

Fields of papers citing papers by Steven Corns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steven Corns, 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 Steven Corns Line = papers co-authored together Steven Corns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 200663
3 201456
4 201628
5 201526
6 201125
7 200824
8 201824
9 201624
10 200623
11 202422
12 201222
13 201717
14
Employing Project-based Learning in Six Sigma Education
201314
15 200414
16 201314
17 202213
18 20129
19 20139
20 20209

About Steven Corns

Steven Corns is a scholar working on Artificial Intelligence, Molecular Biology, Civil and Structural Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 76 papers that have together received 668 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (10 papers), Systems Engineering Methodologies and Applications (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Technology Assessment and Management (7 papers), Infrastructure Resilience and Vulnerability Analysis (6 papers), Facility Location and Emergency Management (5 papers) and Disaster Management and Resilience (5 papers). The work is most often cited by research in Management Information Systems (78 citations), Media Technology (45 citations), Environmental Engineering (66 citations), Industrial and Manufacturing Engineering (47 citations) and Management of Technology and Innovation (30 citations). Steven Corns has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Suzanna Long, Elizabeth A. Cudney, Kenneth M. Bryden, Daniel Ashlock, V. A. Samaranayake, Ci̇han H. Dağli, Stephen J. Willson, Héctor J. Carlo, Ganesh K. Venayagamoorthy and Robert R. Holmes. Their work appears in journals such as Engineering Management Journal, Systems Engineering, Water, Data Science Journal and Journal of Environmental Management.

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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