Héctor Palacios

19 total papers · 605 total citations
13 papers, 365 citations indexed

About

Héctor Palacios is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Héctor Palacios has authored 13 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Héctor Palacios's work include AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (4 papers) and Formal Methods in Verification (3 papers). Héctor Palacios is often cited by papers focused on AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (4 papers) and Formal Methods in Verification (3 papers). Héctor Palacios collaborates with scholars based in Spain, Venezuela and United States. Héctor Palacios's co-authors include Héctor Geffner, Blai Bonet, F. Ares, J.A. Rodríguez, Adnan Darwiche, Anders Jönsson, Sergi Jiménez‐Martín, Jérôme Lang, Craig Boutilier and Joel Oren and has published in prestigious journals such as Electromagnetic waves, Journal of Electromagnetic Waves and Applications and Research Portal (King's College London).

In The Last Decade

Héctor Palacios

13 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Héctor Palacios	262	59	54	40	35	13	365
Kun Shao	247 0.9×	37 0.6×	25 0.5×	33 0.8×	70 2.0×	16	373
Corporate Ieee	97 0.4×	49 0.8×	13 0.2×	48 1.2×	66 1.9×	12	306
Marjan Abdechiri	154 0.6×	49 0.8×	18 0.3×	52 1.3×	39 1.1×	16	311
N. Franken	245 0.9×	97 1.6×	17 0.3×	49 1.2×	38 1.1×	11	373
Ziyue Huang	203 0.8×	23 0.4×	27 0.5×	48 1.2×	40 1.1×	14	366
Lonnie Chrisman	245 0.9×	47 0.8×	62 1.1×	12 0.3×	28 0.8×	10	368
Taymaz Rahkar Farshi	195 0.7×	75 1.3×	15 0.3×	37 0.9×	28 0.8×	12	367
Hiroyoshi Nomura	244 0.9×	31 0.5×	13 0.2×	35 0.9×	15 0.4×	13	338
Luis Rodríguez	217 0.8×	94 1.6×	9 0.2×	36 0.9×	28 0.8×	8	296
Ruixin Yang	167 0.6×	67 1.1×	13 0.2×	43 1.1×	23 0.7×	12	301

Countries citing papers authored by Héctor Palacios

Since Specialization

Citations

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

Fields of papers citing papers by Héctor Palacios

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Palacios

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