Pedro G. Campos

55 total papers · 741 total citations
30 papers, 403 citations indexed

About

Pedro G. Campos is a scholar working on Information Systems, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Pedro G. Campos has authored 30 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Pedro G. Campos's work include Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (2 papers) and Mineral Processing and Grinding (2 papers). Pedro G. Campos is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (2 papers) and Mineral Processing and Grinding (2 papers). Pedro G. Campos collaborates with scholars based in Chile, Spain and Brazil. Pedro G. Campos's co-authors include Fernando Díez, Iván Cantador, Alejandro Bellogín, José Antonio Pow-Sang, Cristhian Aguilera, Manuel Sánchez-Montañés, Teresa B. Ludermir, A.F.R. Araujo, Gina Tomé and Jorge Burgos and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Frontiers in Physiology.

In The Last Decade

Pedro G. Campos

26 papers receiving 381 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Pedro G. Campos 302 149 90 83 52 30 403
Yi Ding 314 1.0× 134 0.9× 101 1.1× 57 0.7× 58 1.1× 21 388
Minsung Hong 203 0.7× 115 0.8× 84 0.9× 34 0.4× 52 1.0× 32 364
Jiayu Han 190 0.6× 267 1.8× 56 0.6× 57 0.7× 37 0.7× 29 377
Xiaowei Xu 288 1.0× 133 0.9× 121 1.3× 41 0.5× 98 1.9× 39 395
Reza Ravanmehr 209 0.7× 121 0.8× 62 0.7× 35 0.4× 98 1.9× 44 375
Sanjay Kumar Jain 231 0.8× 230 1.5× 54 0.6× 40 0.5× 51 1.0× 30 431
Xingzhong Du 197 0.7× 181 1.2× 171 1.9× 36 0.4× 59 1.1× 26 403
Wei Wang 149 0.5× 201 1.3× 78 0.9× 70 0.8× 84 1.6× 42 418
Marcin Sydow 163 0.5× 245 1.6× 21 0.2× 81 1.0× 59 1.1× 32 395
Levente Kocsis 81 0.3× 217 1.5× 40 0.4× 77 0.9× 67 1.3× 24 371

Countries citing papers authored by Pedro G. Campos

Since Specialization
Citations

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

Fields of papers citing papers by Pedro G. Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro G. Campos. 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 Pedro G. Campos. The network helps show where Pedro G. Campos may publish in the future.

Co-authorship network of co-authors of Pedro G. Campos

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro G. Campos. A scholar is included among the top collaborators of Pedro G. Campos 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 Pedro G. Campos. Pedro G. Campos 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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