Ricardo Choren

39 papers receiving 204 citations

Peers

Ricardo Choren
Comparison fields: 5 of 66
  • Artificial Intelligence 136
  • Information Systems 76
  • Computer Networks and Communications 55
  • Management Information Systems 43
  • Statistical and Nonlinear Physics 43
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Citations per field
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Citations per year

Countries citing papers authored by Ricardo Choren

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Choren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Choren

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Choren. A scholar is included among the top collaborators of Ricardo Choren 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 Ricardo Choren. Ricardo Choren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 3
3 39
4
An Exploratory Study on the Influence of Developers in Code Smell Introduction
3
5 0
6
A Message Exchange Protocol in Command and Control Systems Integration, using the JC3IEDM
1
7 0
8 1
9 5
10 5
11 5
12
Proceedings of the 2006 international workshop on Software engineering for large-scale multi-agent systems
2
13 18
14
Software Engineering for Multi-Agent Systems III: Research Issues and Practical Applications (Lecture Notes in Computer Science)
1
15 2
16 1
17 18
18 0
19
Scriba — A Tool for Developing Java Based Web Applications
1
20
QUEST: An Assessment Tool for Web-Based Learning
4

About Ricardo Choren

Ricardo Choren is a scholar working on Software, Artificial Intelligence and Management Information Systems, having authored 49 papers that have together received 223 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (25 papers), Service-Oriented Architecture and Web Services (11 papers) and Mobile Agent-Based Network Management (11 papers). The work is most often cited by research in Management Information Systems (43 citations), Artificial Intelligence (136 citations) and Statistical and Nonlinear Physics (43 citations). Ricardo Choren has collaborated with scholars based in Brazil, United Kingdom and Belgium. Frequent co-authors include Carlos Lucena, Ronaldo Ribeiro Goldschmidt, Viviane Torres da Silva, Alessandro Garcia, Hugo Fukś, Alexander Romanovsky, Holger Giese, Ronaldo Moreira Salles, Leandro Yukio Mano and E. P. Alves. Their work appears in journals such as Journal of the Association for Information Systems, Knowledge-Based Systems and Computers in Biology and Medicine.

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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