Manuel Alfonseca

161 total papers · 1.3k total citations
100 papers, 808 citations indexed

About

Manuel Alfonseca is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Manuel Alfonseca has authored 100 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 33 papers in Computational Theory and Mathematics and 15 papers in Computer Networks and Communications. Recurrent topics in Manuel Alfonseca's work include Cellular Automata and Applications (17 papers), Evolutionary Algorithms and Applications (15 papers) and Simulation Techniques and Applications (12 papers). Manuel Alfonseca is often cited by papers focused on Cellular Automata and Applications (17 papers), Evolutionary Algorithms and Applications (15 papers) and Simulation Techniques and Applications (12 papers). Manuel Alfonseca collaborates with scholars based in Spain, United States and Canada. Manuel Alfonseca's co-authors include Alfonso Ortega, Juan de Lara, Manuel Cebrián, Hans Vangheluwe, E. Román, L. Galán, I. Montero, Basel A. Mahafzah, Hazem Hiary and Antonio Fernández Anta and has published in prestigious journals such as Biomaterials, IEEE Transactions on Information Theory and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Manuel Alfonseca

94 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Manuel Alfonseca	315	188	162	132	93	100	808
Henrik Nilsson	360 1.1×	336 1.8×	27 0.2×	88 0.7×	169 1.8×	60	959
W Brauer	391 1.2×	369 2.0×	123 0.8×	90 0.7×	45 0.5×	67	907
Richard B. Kieburtz	425 1.3×	213 1.1×	45 0.3×	133 1.0×	158 1.7×	67	829
Jeremy Frank	604 1.9×	138 0.7×	56 0.3×	76 0.6×	74 0.8×	73	1.0k
Hao Wang	473 1.5×	319 1.7×	76 0.5×	39 0.3×	16 0.2×	78	942
Lijun Zhang	394 1.3×	373 2.0×	44 0.3×	151 1.1×	188 2.0×	114	903
Tao Wang	348 1.1×	103 0.5×	174 1.1×	71 0.5×	7 0.1×	116	862
Ajay Kumar	348 1.1×	88 0.5×	80 0.5×	73 0.6×	30 0.3×	62	720
Bharat Jayaraman	323 1.0×	131 0.7×	75 0.5×	62 0.5×	156 1.7×	124	893
Oscar Camacho-Nieto	431 1.4×	44 0.2×	88 0.5×	78 0.6×	18 0.2×	91	920

Countries citing papers authored by Manuel Alfonseca

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Alfonseca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Alfonseca

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