Bienvenido Vélez
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Mark A. SheldonRon J. WeissDavid K. GiffordMiguel Vélez-ReyesManuel Rodríguez-MartínezAugusto Paolo Bernal Párraga
- Topics
- Distributed systems and fault tolerance (3 papers)Peer-to-Peer Network Technologies (2 papers)Service-Oriented Architecture and Web Services (2 papers)
- Journals
- ACM SIGIR ForumInternational Journal of Critical InfrastructuresCiencia Latina Revista Científica Multidisciplinar
- Partner nations
- United StatesPuerto RicoEcuador
In The Last Decade
Bienvenido Vélez
9 papers receiving 209 citations
Peers
Comparison fields: 5 of 27
- Information Systems 168
- Artificial Intelligence 131
- Computer Networks and Communications 65
- Signal Processing 52
- Statistical and Nonlinear Physics 36
Countries citing papers authored by Bienvenido Vélez
This map shows the geographic impact of Bienvenido Vélez'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 Bienvenido Vélez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bienvenido Vélez more than expected).
Fields of papers citing papers by Bienvenido Vélez
This network shows the impact of papers produced by Bienvenido Vélez. 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 Bienvenido Vélez. The network helps show where Bienvenido Vélez may publish in the future.
Co-authorship network of co-authors of Bienvenido Vélez
This figure shows the co-authorship network connecting the top 25 collaborators of Bienvenido Vélez. A scholar is included among the top collaborators of Bienvenido Vélez 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 Bienvenido Vélez. Bienvenido Vélez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | The Nature of Computing | 2 |
| 7 | 63 | |
| 8 | 12 | |
| 9 | 140 |
About Bienvenido Vélez
Bienvenido Vélez is a scholar working on Computer Networks and Communications, Management Information Systems and Information Systems and Management, having authored 9 papers that have together received 240 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (3 papers), Peer-to-Peer Network Technologies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Information Systems (168 citations), Signal Processing (52 citations) and Artificial Intelligence (131 citations). Bienvenido Vélez has collaborated with scholars based in United States, Puerto Rico and Ecuador. Frequent co-authors include Mark A. Sheldon, Ron J. Weiss, David K. Gifford, Miguel Vélez-Reyes, Manuel Rodríguez-Martínez and Augusto Paolo Bernal Párraga. Their work appears in journals such as ACM SIGIR Forum, International Journal of Critical Infrastructures and Ciencia Latina Revista Científica Multidisciplinar.
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.