Joan Sàez-Pons

19 total papers · 427 total citations
12 papers, 259 citations indexed

About

Joan Sàez-Pons is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Joan Sàez-Pons has authored 12 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 5 papers in Social Psychology. Recurrent topics in Joan Sàez-Pons's work include Robotic Path Planning Algorithms (6 papers), Social Robot Interaction and HRI (5 papers) and Distributed Control Multi-Agent Systems (5 papers). Joan Sàez-Pons is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Social Robot Interaction and HRI (5 papers) and Distributed Control Multi-Agent Systems (5 papers). Joan Sàez-Pons collaborates with scholars based in United Kingdom, Spain and Germany. Joan Sàez-Pons's co-authors include Jacques Penders, Lyuba Alboul, Kerstin Dautenhahn, Dag Sverre Syrdal, Ulf Witkowski, Cecilio Ángulo, Marta Díaz Boladeras, Hagen Lehmann, Diego Pardo and Maha Salem and has published in prestigious journals such as PLoS ONE, Advanced Robotics and IEEE Transactions on Human-Machine Systems.

In The Last Decade

Joan Sàez-Pons

12 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
Joan Sàez-Pons	98	76	70	52	46	12	259
Florian Vaussard	75 0.8×	81 1.1×	58 0.8×	47 0.9×	67 1.5×	6	247
Maurizio Ficocelli	73 0.7×	82 1.1×	25 0.4×	140 2.7×	33 0.7×	17	321
Yoichiro Endo	34 0.3×	80 1.1×	75 1.1×	104 2.0×	48 1.0×	12	261
Magdalena Bugajska	113 1.2×	147 1.9×	20 0.3×	53 1.0×	21 0.5×	21	265
Berat A. Erol	27 0.3×	84 1.1×	32 0.5×	76 1.5×	25 0.5×	17	256
Philipp Althaus	99 1.0×	63 0.8×	23 0.3×	159 3.1×	18 0.4×	10	276
Kim Baraka	88 0.9×	47 0.6×	50 0.7×	50 1.0×	18 0.4×	26	276
Giancarlo Teti	97 1.0×	60 0.8×	20 0.3×	81 1.6×	44 1.0×	12	290
Christoph Engels	27 0.3×	86 1.1×	41 0.6×	107 2.1×	35 0.8×	9	285
Xingnan Zhang	44 0.4×	77 1.0×	79 1.1×	76 1.5×	27 0.6×	6	271

Countries citing papers authored by Joan Sàez-Pons

Since Specialization

Citations

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

Fields of papers citing papers by Joan Sàez-Pons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Sàez-Pons. 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 Joan Sàez-Pons. The network helps show where Joan Sàez-Pons may publish in the future.

Co-authorship network of co-authors of Joan Sàez-Pons

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Sàez-Pons. A scholar is included among the top collaborators of Joan Sàez-Pons 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 Joan Sàez-Pons. Joan Sàez-Pons 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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