Pontifícia Universidade Católica do Rio de Janeiro

285.4k citations
20.8k papers ·

Impact in

Papers in

Pontifícia Universidade Católica do Rio de Janeiro

18.5k papers receiving 285.2k citations

Peers

Pontifícia Universidade Católica do Rio de Janeiro
Comparison fields: 5 of 251
  • Industrial and Manufacturing Engineering 7.2k
  • Artificial Intelligence 20.9k
  • Mechanics of Materials 11.8k
  • Information Systems 13.5k
  • Human-Computer Interaction 3.5k
Replace Universidade Federal de São Carlos with:
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Pontifícia Universidade Católica do Rio de Janeiro relative to Universidade Federal de São Carlos Brazil Universidade Federal de São Carlos's profile →
Citations per field
00.5×2×2.8×
Universidade Federal de São Carlos · 1×
Citations per year

Countries citing scholars working at Pontifícia Universidade Católica do Rio de Janeiro

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Pontifícia Universidade Católica do Rio de Janeiro. 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 papers produced at Pontifícia Universidade Católica do Rio de Janeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pontifícia Universidade Católica do Rio de Janeiro more than expected).

Fields of papers published by authors at Pontifícia Universidade Católica do Rio de Janeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Pontifícia Universidade Católica do Rio de Janeiro at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Pontifícia Universidade Católica do Rio de Janeiro at the time of their publication.

About Pontifícia Universidade Católica do Rio de Janeiro

In recent decades, authors affiliated with Pontifícia Universidade Católica do Rio de Janeiro have published 20.8k papers, which have received a total of 285.4k indexed citations . Scholars at this organization have produced 403 papers in Human-Computer Interaction, 1.7k papers in Artificial Intelligence, 198 papers in Computer Graphics and Computer-Aided Design, 873 papers in Information Systems and 723 papers in Computational Mechanics on the topics of Advanced Software Engineering Methodologies (403 papers), Usability and User Interface Design (234 papers), Software Engineering Research (234 papers), Software Engineering Techniques and Practices (227 papers), Semantic Web and Ontologies (206 papers), Vibration and Dynamic Analysis (181 papers), Electric Power System Optimization (179 papers) and Mathematical Dynamics and Fractals (178 papers). Their work is cited by papers focused on Industrial and Manufacturing Engineering (7.2k citations), Artificial Intelligence (20.9k citations), Mechanics of Materials (11.8k citations), Information Systems (13.5k citations) and Human-Computer Interaction (3.5k citations). Authors at Pontifícia Universidade Católica do Rio de Janeiro collaborate with scholars in Brazil, United States and United Kingdom and have published in prestigious journals including Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, IEEE Transactions on Power Systems, Marine Pollution Bulletin, Physical Review A and Electronics Letters. Some of Pontifícia Universidade Católica do Rio de Janeiro's most productive authors include Celso Carneiro Ribeiro, Khosrow Ghavami, Julio César Sampaio do Prado Leite, Daniel Schwabe, Rodrigo C. de Lamare, Paulo R. de Souza Mendes, José Roberto Moraes d’Almeida, Maurício G. C. Resende, Flávio de Andrade Silva and Ivo Helcio Pitanguy.

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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