Brian W. Goldman
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- William F. PunchDaniel R. TauritzUna-May O’ReillyDavid R. WhiteJames McDermottMauro CastelliSean LukeGabriel Kronberger
- Topics
- Evolutionary Algorithms and Applications (14 papers)Metaheuristic Optimization Algorithms Research (12 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Brian W. Goldman
19 papers receiving 425 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 334
- Computational Theory and Mathematics 144
- Molecular Biology 96
- Aerospace Engineering 44
- Electrical and Electronic Engineering 44
Countries citing papers authored by Brian W. Goldman
This map shows the geographic impact of Brian W. Goldman'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 Brian W. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian W. Goldman more than expected).
Fields of papers citing papers by Brian W. Goldman
This network shows the impact of papers produced by Brian W. Goldman. 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 Brian W. Goldman. The network helps show where Brian W. Goldman may publish in the future.
Co-authorship network of co-authors of Brian W. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Goldman. A scholar is included among the top collaborators of Brian W. Goldman 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 Brian W. Goldman. Brian W. Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 31 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 38 | |
| 11 | 56 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | Better GP benchmarks: community survey results and proposals | 6 |
| 15 | 4 | |
| 16 | 125 | |
| 17 | 7 | |
| 18 | 0 | |
| 19 | 7 | |
| 20 | 13 |
About Brian W. Goldman
Brian W. Goldman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 20 papers that have together received 432 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (14 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (334 citations), Computational Theory and Mathematics (144 citations) and Industrial and Manufacturing Engineering (19 citations). Brian W. Goldman has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include William F. Punch, Daniel R. Tauritz, Una-May O’Reilly, David R. White, James McDermott, Mauro Castelli, Sean Luke, Gabriel Kronberger, Luca Manzoni and Wojciech Jaśkowski. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Renewable Energy.
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.