Manuel I. Capel

39 papers receiving 197 citations

Peers

Manuel I. Capel
Comparison fields: 5 of 62
  • Hardware and Architecture 33
  • Software 16
  • Management Information Systems 33
  • Computational Theory and Mathematics 40
  • Artificial Intelligence 61
Replace Davide Cerotti with:
Davide Cerotti Italy
Anders Arpteg Sweden
Lenardo Chaves e Silva Brazil
Robin Lougee-Heimer United States
Fernando Cuartero Spain
Piotr Szwed Poland
François Pacull France
Raoul-Gabriel Urma United Kingdom
Ruoyun Huang United States
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Countries citing papers authored by Manuel I. Capel

Since Specialization
Citations

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

Fields of papers citing papers by Manuel I. Capel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Manuel I. Capel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manuel I. Capel Line = papers co-authored together Manuel I. Capel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201826
2 202021
3 201716
4 202115
5 201115
6 202414
7 200710
8 202410
9 20159
10 20057
11 20127
12
A parallel programming methodology using communication patterns named cpans or composition of parallel object
20086
13 20165
14
An Object-Based Tool and Methodological Approach for Distributed Programming.
19945
15 20045
16 20074
17 20194
18 20074
19 20074
20 20193

About Manuel I. Capel

Manuel I. Capel is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 46 papers that have together received 221 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Business Process Modeling and Analysis (8 papers), Model-Driven Software Engineering Techniques (8 papers), Formal Methods in Verification (6 papers), Embedded Systems Design Techniques (6 papers), Parallel Computing and Optimization Techniques (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Hardware and Architecture (33 citations), Software (16 citations), Management Information Systems (33 citations), Computational Theory and Mathematics (40 citations) and Artificial Intelligence (61 citations). Manuel I. Capel has collaborated with scholars based in Spain, Mexico and Venezuela. Frequent co-authors include L. G. B. Ruiz, M.C. Pegalajar, Luís E. Mendoza, Alberto Salguero, Kawtar Benghazi, Juan A. Holgado-Terriza, José M. Troya, Tarek Kandakji, Miguel J. Hornos and Holly Rushmeier. Their work appears in journals such as Applied Soft Computing, Information and Software Technology, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, ACM SIGPLAN Notices and Journal of Parallel and Distributed Computing.

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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