Walter Cedeño

20 total papers · 719 total citations
15 papers, 466 citations indexed

About

Walter Cedeño is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Walter Cedeño has authored 15 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Walter Cedeño's work include Metaheuristic Optimization Algorithms Research (5 papers), Computational Drug Discovery Methods (5 papers) and Analytical Chemistry and Chromatography (4 papers). Walter Cedeño is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Computational Drug Discovery Methods (5 papers) and Analytical Chemistry and Chromatography (4 papers). Walter Cedeño collaborates with scholars based in United States. Walter Cedeño's co-authors include Dimitris K. Agrafiotis, V. Rao Vemuri, Victor S. Lobanov, Tom Slezak, Phillip A. Laplante, Edward P. Jaeger, Bertrand Lemieux, David Harlan Wood and E. Antipov and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Network and Computer Applications and Theoretical Computer Science.

In The Last Decade

Walter Cedeño

15 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Walter Cedeño	240	178	107	65	34	15	466
Christian Merkwirth	141 0.6×	108 0.6×	112 1.0×	45 0.7×	30 0.9×	24	409
Pavel Karpov	247 1.0×	76 0.4×	145 1.4×	165 2.5×	21 0.6×	22	423
Xiaoshan Li	142 0.6×	212 1.2×	47 0.4×	34 0.5×	24 0.7×	37	473
Qin Wang	208 0.9×	48 0.3×	63 0.6×	37 0.6×	33 1.0×	44	468
Wojtek Kowalczyk	203 0.8×	109 0.6×	157 1.5×	76 1.2×	10 0.3×	21	480
H. Gelernter	156 0.7×	155 0.9×	87 0.8×	72 1.1×	24 0.7×	22	508
Rongjing Hu	106 0.4×	155 0.9×	160 1.5×	15 0.2×	11 0.3×	33	548
Fahimeh Ghasemi	198 0.8×	41 0.2×	174 1.6×	101 1.6×	14 0.4×	21	453
Zhaoxian Zhou	131 0.5×	93 0.5×	93 0.9×	26 0.4×	8 0.2×	35	405
Sergey Sosnin	288 1.2×	39 0.2×	224 2.1×	173 2.7×	12 0.4×	22	481

Countries citing papers authored by Walter Cedeño

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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