Warren Smith

1.5k citations
62 papers · 1.3k · h-index 19

Impact in

Papers in

Warren Smith

55 papers receiving 1.2k citations

Peers

Warren Smith
Comparison fields: 5 of 125
  • Anesthesiology and Pain Medicine 160
  • Computational Theory and Mathematics 523
  • Artificial Intelligence 446
  • Developmental Neuroscience 35
  • Statistics, Probability and Uncertainty 63
Replace Satoru Isaka with:
Satoru Isaka United States
José M. González-Cava Spain
Michael R. Anderson United States
Lance Sherry United States
Alistair Shilton Australia
Jukka P. P. Saarinen Finland
Mark Austin United States
Xinhe Xu China
Ali Jalali United States
George Panoutsos United Kingdom
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Citations per field
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Satoru Isaka · 1×
Citations per year

Countries citing papers authored by Warren Smith

Since Specialization
Citations

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

Fields of papers citing papers by Warren Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002198
2 2009169
3 2005136
4 201078
5 200663
6 201061
7 200856
8 200846
9 200838
10 199335
11 201034
12 200732
13 201429
14 200828
15 201025
16 200821
17 200121
18 200719
19 200919
20 201117

About Warren Smith

Warren Smith is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Ocean Engineering, Management Science and Operations Research and Control and Systems Engineering, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (26 papers), Metaheuristic Optimization Algorithms Research (20 papers), Evolutionary Algorithms and Applications (8 papers), Ship Hydrodynamics and Maneuverability (6 papers), Topology Optimization in Engineering (4 papers), Image and Signal Denoising Methods (4 papers), Optimal Experimental Design Methods (4 papers) and Maritime Transport Emissions and Efficiency (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (160 citations), Computational Theory and Mathematics (523 citations), Artificial Intelligence (446 citations), Developmental Neuroscience (35 citations) and Statistics, Probability and Uncertainty (63 citations). Warren Smith has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Tapabrata Ray, Amitay Isaacs, Hemant Kumar Singh, Ramón Berguer, Erik Weber Jensen, N. Ty Smith, Ira Jay Rampil, Michel M. R. F. Struys, Eric P. Mortier and Frank J. E. Dumortier. Their work appears in journals such as Information Communication & Society, Journal of Ship Research, Concurrent Engineering, Engineering Optimization and BDJ.

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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