Walter Cedeño
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Molecular Biology
- Materials Chemistry
- Control and Systems Engineering
- Co-authors
- Dimitris K. AgrafiotisV. Rao VemuriVictor S. LobanovTom SlezakPhillip A. LaplanteDavid Harlan WoodEdward P. JaegerBertrand Lemieux
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Computational Drug Discovery Methods (5 papers)Analytical Chemistry and Chromatography (4 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Network and Computer ApplicationsTheoretical Computer Science
- Partner nations
- United States
In The Last Decade
Walter Cedeño
15 papers receiving 432 citations
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 240
- Artificial Intelligence 178
- Molecular Biology 107
- Materials Chemistry 64
- Control and Systems Engineering 34
Countries citing papers authored by Walter Cedeño
This map shows the geographic impact of Walter Cedeño'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 Walter Cedeño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Cedeño more than expected).
Fields of papers citing papers by Walter Cedeño
This network shows the impact of papers produced by Walter Cedeño. 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 Walter Cedeño. The network helps show where Walter Cedeño may publish in the future.
Co-authorship network of co-authors of Walter Cedeño
This figure shows the co-authorship network connecting the top 25 collaborators of Walter Cedeño. A scholar is included among the top collaborators of Walter Cedeño 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 Walter Cedeño. Walter Cedeño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 38 | |
| 8 | 54 | |
| 9 | 131 | |
| 10 | 133 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 39 | |
| 15 | Dynamic multimodal function optimization using genetic algorithms | 3 |
About Walter Cedeño
Walter Cedeño is a scholar working on Computational Theory and Mathematics, Spectroscopy and Artificial Intelligence, having authored 15 papers that have together received 467 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Computational Drug Discovery Methods (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Computational Theory and Mathematics (240 citations), Artificial Intelligence (178 citations) and Analytical Chemistry (29 citations). Walter Cedeño has collaborated with scholars based in United States. Frequent co-authors include Dimitris K. Agrafiotis, V. Rao Vemuri, Victor S. Lobanov, Tom Slezak, Phillip A. Laplante, David Harlan Wood, Edward P. Jaeger, Bertrand Lemieux and E. Antipov. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Network and Computer Applications and Theoretical Computer Science.
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.