José Manuel Torres

91 total papers · 507 total citations
31 papers, 195 citations indexed

About

José Manuel Torres is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, José Manuel Torres has authored 31 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in José Manuel Torres's work include Context-Aware Activity Recognition Systems (6 papers), Complex Systems and Decision Making (4 papers) and Bluetooth and Wireless Communication Technologies (3 papers). José Manuel Torres is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), Complex Systems and Decision Making (4 papers) and Bluetooth and Wireless Communication Technologies (3 papers). José Manuel Torres collaborates with scholars based in Portugal, Spain and Norway. José Manuel Torres's co-authors include Javier Santos, Jose M. Sarriegi, Richard A. Wysk, Christophe Soares, Nicolás Serrano, Rui S. Moreira, Ricardo Morla, José J. González, Paulo Gonçalves and Josune Hernantes and has published in prestigious journals such as Sensors, Future Generation Computer Systems and IEEE Software.

In The Last Decade

José Manuel Torres

27 papers receiving 166 citations

Author Peers

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

Author Last Decade Papers Cites
José Manuel Torres 37 32 28 28 26 31 195
Gonca Gökçe Menekşe Dalveren 19 0.5× 31 1.0× 6 0.2× 14 0.5× 18 0.7× 25 228
Rajiv Kumar 19 0.5× 25 0.8× 25 0.9× 20 0.7× 4 0.2× 42 250
Vivek Kumar 9 0.2× 53 1.7× 16 0.6× 20 0.7× 12 0.5× 26 269
Adrian Calma 25 0.7× 39 1.2× 16 0.6× 5 0.2× 14 0.5× 17 255
Achim P. Karduck 23 0.6× 20 0.6× 40 1.4× 8 0.3× 5 0.2× 26 227
Mohammed Alojail 15 0.4× 13 0.4× 13 0.5× 19 0.7× 2 0.1× 34 183
Arsénio Reis 11 0.3× 39 1.2× 29 1.0× 6 0.2× 19 0.7× 42 222
S. Shanthi 86 2.3× 41 1.3× 12 0.4× 72 2.6× 6 0.2× 30 271
Michael Vössing 31 0.8× 15 0.5× 5 0.2× 4 0.1× 33 1.3× 24 248
Dominique Lenné 11 0.3× 14 0.4× 12 0.4× 5 0.2× 11 0.4× 38 254

Countries citing papers authored by José Manuel Torres

Since Specialization
Citations

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

Fields of papers citing papers by José Manuel Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Manuel Torres

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