Robert E. Smith

2.6k citations
80 papers · 2.4k · h-index 28

Impact in

Papers in

Robert E. Smith

77 papers receiving 2.2k citations

Peers

Robert E. Smith
Comparison fields: 5 of 104
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 245
  • Biomedical Engineering 310
  • Statistical and Nonlinear Physics 68
  • General Decision Sciences 17
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Citations per year

Countries citing papers authored by Robert E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonstationary function optimization using genetic algorithm with dominance and diploidy
1987245
2 1993209
3 1993203
4 1995140
5 2014104
6 200089
7 200072
8
Conceptual Frameworks for Artificial Immune Systems
200570
9 199562
10 200558
11 202057
12 199356
13
Adaptively resizing populations: Algorithm, analysis, and first results
199351
14 200951
15 200350
16 199447
17 199447
18 200446
19
Directed Multi-Objective Optimization
200545
20
Diploidy and Dominance in Artificial Genetic Search.
199243

About Robert E. Smith

Robert E. Smith is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, General Decision Sciences, Statistical and Nonlinear Physics and Statistics and Probability, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (30 papers), Metaheuristic Optimization Algorithms Research (13 papers), Artificial Immune Systems Applications (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Electric Power System Optimization (3 papers), Decision-Making and Behavioral Economics (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (245 citations), Biomedical Engineering (310 citations), Statistical and Nonlinear Physics (68 citations) and General Decision Sciences (17 citations). Robert E. Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David E. Goldberg, Stephanie Forrest, Alan S. Perelson, A.A. El-Keib, Martin Brown, Tomaso Aste, Susan Stepney, Jon Timmis, Andrew Martin Tyrrell and Bharadwaj Ravichandran. Their work appears in journals such as Evolutionary Computation, Electric Power Systems Research, Scientific Reports, Lecture notes in computer science and Evolutionary Intelligence.

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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