Pablo San Segundo

62 total papers · 993 total citations
44 papers, 599 citations indexed

About

Pablo San Segundo is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Pablo San Segundo has authored 44 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 15 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Pablo San Segundo's work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (11 papers) and Machine Learning and Algorithms (10 papers). Pablo San Segundo is often cited by papers focused on Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (11 papers) and Machine Learning and Algorithms (10 papers). Pablo San Segundo collaborates with scholars based in Spain, United States and Russia. Pablo San Segundo's co-authors include Diego Rodríguez-Losada, Agustín Jiménez, Fabio Furini, Fernando Matı́a, Pãnos M. Pardalos, Stefano Coniglio, Mikhail Batsyn, Miguel Hernando, Ivana Ljubić and Ramón Galán and has published in prestigious journals such as European Journal of Operational Research, Applied Soft Computing and IEEE Transactions on Robotics.

In The Last Decade

Pablo San Segundo

43 papers receiving 583 citations

Author Peers

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

Author						Papers	Cites
Pablo San Segundo	275	219	194	119	88	44	599
Hong Li	283 1.0×	368 1.7×	89 0.5×	45 0.4×	68 0.8×	66	688
Guido Proietti	209 0.8×	95 0.4×	259 1.3×	49 0.4×	101 1.1×	68	543
Á. E. Eiben	228 0.8×	393 1.8×	95 0.5×	75 0.6×	31 0.4×	25	642
Francisco J. Rodríguez	108 0.4×	206 0.9×	97 0.5×	213 1.8×	68 0.8×	31	592
Daniele Frigioni	151 0.5×	132 0.6×	251 1.3×	87 0.7×	112 1.3×	57	577
Yi Zhou	94 0.3×	173 0.8×	131 0.7×	86 0.7×	178 2.0×	62	696
Dipankar Maity	230 0.8×	339 1.5×	121 0.6×	30 0.3×	72 0.8×	53	640
Qingzheng Xu	185 0.7×	336 1.5×	81 0.4×	51 0.4×	53 0.6×	63	665
Chu-Min Li	313 1.1×	317 1.4×	275 1.4×	151 1.3×	58 0.7×	59	624
Xinli Xu	148 0.5×	236 1.1×	51 0.3×	211 1.8×	41 0.5×	53	580

Countries citing papers authored by Pablo San Segundo

Since Specialization

Citations

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

Fields of papers citing papers by Pablo San Segundo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo San Segundo. 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 Pablo San Segundo. The network helps show where Pablo San Segundo may publish in the future.

Co-authorship network of co-authors of Pablo San Segundo

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo San Segundo. A scholar is included among the top collaborators of Pablo San Segundo 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 Pablo San Segundo. Pablo San Segundo 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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