Robert E. Smith

2.6k citations
65 papers · 2.1k · h-index 25

Impact in

Papers in

Robert E. Smith

62 papers receiving 1.9k citations

Peers

Robert E. Smith
Comparison fields: 5 of 159
  • Artificial Intelligence 830
  • Computational Theory and Mathematics 382
  • General Decision Sciences 16
  • Microbiology 49
  • Endocrinology 38
Replace Peter Nordin with:
Peter Nordin Sweden
Mark Cannon United Kingdom
Andreas Reuter Germany
Shinn‐Ying Ho Taiwan
Yanjun Li China
Chuan Yi Tang Taiwan
Florentino Fdez‐Riverola Spain
Christian Fritz United States
Zhen Li China
Ulrich Bodenhofer Austria
Robert E. Smith relative to Peter Nordin Sweden Peter Nordin's profile →
Citations per field
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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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonstationary function optimization using genetic algorithm with dominance and diploidy
1987248
2 1993204
3 1993203
4 1995137
5 199687
6
Production of monocyte chemoattractant protein-1 and macrophage inflammatory protein-1 alpha by inflammatory granuloma fibroblasts.
199486
7 200073
8 201969
9 199565
10 202056
11 199355
12
Adaptively resizing populations: Algorithm, analysis, and first results
199350
13 199447
14 200447
15 196743
16
Diploidy and Dominance in Artificial Genetic Search.
199242
17 201937
18 197636
19 198233
20 201831

About Robert E. Smith

Robert E. Smith is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Computational Mechanics and Economics and Econometrics, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Plant Virus Research Studies (6 papers), Bacteriophages and microbial interactions (6 papers), Optimal Power Flow Distribution (5 papers), Complex Systems and Time Series Analysis (5 papers) and Artificial Immune Systems Applications (4 papers). The work is most often cited by research in Artificial Intelligence (830 citations), Computational Theory and Mathematics (382 citations), General Decision Sciences (16 citations), Microbiology (49 citations) and Endocrinology (38 citations). Robert E. Smith has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David E. Goldberg, Alan S. Perelson, Stephanie Forrest, Yasuhiro Furuichi, A.A. El-Keib, B. Ravichandran, Sem H. Phan, H. Ma, Steven L. Kunkel and R M Strieter. Their work appears in journals such as Electric Power Systems Research, Journal of Virology, Evolutionary Computation, Biochemistry and PLoS Pathogens.

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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