Arlindo Silva

56 total papers · 785 total citations
21 papers, 346 citations indexed

About

Arlindo Silva is a scholar working on Sociology and Political Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arlindo Silva has authored 21 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arlindo Silva's work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolution and Genetic Dynamics (3 papers). Arlindo Silva is often cited by papers focused on Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolution and Genetic Dynamics (3 papers). Arlindo Silva collaborates with scholars based in Portugal, Ireland and United Kingdom. Arlindo Silva's co-authors include Ana Rute Neves, Tiago Sousa, Fernando Ribeiro, Fernando Sérgio Barbosa, Rogério Dionísio, Ernesto Costa, Anthony Brabazon, Robin Matthews, Michael O’Neill and Rute G. Matos and has published in prestigious journals such as Parallel Computing, Information Technology & Tourism and Advances in Complex Systems.

In The Last Decade

Arlindo Silva

18 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Arlindo Silva	173	91	44	34	34	21	346
Md. Manjur Ahmed	133 0.8×	55 0.6×	27 0.6×	45 1.3×	57 1.7×	22	360
Deniz Çetinkaya	99 0.6×	119 1.3×	13 0.3×	67 2.0×	14 0.4×	43	375
Valerie Guralnik	190 1.1×	109 1.2×	45 1.0×	89 2.6×	99 2.9×	22	376
Marjan Kaedi	100 0.6×	90 1.0×	32 0.7×	48 1.4×	32 0.9×	33	382
Salinah Ja’afar	196 1.1×	38 0.4×	48 1.1×	19 0.6×	44 1.3×	19	313
Muskan Garg	195 1.1×	52 0.6×	60 1.4×	21 0.6×	17 0.5×	33	390
Anu Gokhale	98 0.6×	43 0.5×	23 0.5×	16 0.5×	26 0.8×	32	398
Christoph Dann	186 1.1×	38 0.4×	46 1.0×	31 0.9×	46 1.4×	14	401
Martin Sarnovský	200 1.2×	106 1.2×	31 0.7×	66 1.9×	16 0.5×	38	352
David Stotts	114 0.7×	187 2.1×	20 0.5×	60 1.8×	49 1.4×	36	347

Countries citing papers authored by Arlindo Silva

Since Specialization

Citations

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

Fields of papers citing papers by Arlindo Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arlindo Silva. 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 Arlindo Silva. The network helps show where Arlindo Silva may publish in the future.

Co-authorship network of co-authors of Arlindo Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Arlindo Silva. A scholar is included among the top collaborators of Arlindo Silva 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 Arlindo Silva. Arlindo Silva 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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