Tomás F. Pena
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- José C. CabaleiroFrancisco F. RiveraD.L. VilariñoJorge Martínez SánchezJuan C. PichelJorge AmigoFeras M. AwayshehMamoun Alazab
- Topics
- Parallel Computing and Optimization Techniques (30 papers)Advanced Data Storage Technologies (22 papers)Distributed and Parallel Computing Systems (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyBioinformatics
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
Tomás F. Pena
95 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 645
- Computer Networks and Communications 305
- Information Systems 304
- Molecular Biology 267
- Computer Vision and Pattern Recognition 216
Countries citing papers authored by Tomás F. Pena
This map shows the geographic impact of Tomás F. Pena'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 Tomás F. Pena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás F. Pena more than expected).
Fields of papers citing papers by Tomás F. Pena
This network shows the impact of papers produced by Tomás F. Pena. 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 Tomás F. Pena. The network helps show where Tomás F. Pena may publish in the future.
Co-authorship network of co-authors of Tomás F. Pena
This figure shows the co-authorship network connecting the top 25 collaborators of Tomás F. Pena. A scholar is included among the top collaborators of Tomás F. Pena 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 Tomás F. Pena. Tomás F. Pena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 18 | |
| 11 | 45 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 74 | |
| 15 | Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data | 3 |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 76 | |
| 19 | Performance of parallel iterative solvers: A library, a prediction model, and a visualization tool | 1 |
| 20 | 2 |
About Tomás F. Pena
Tomás F. Pena is a scholar working on Hardware and Architecture, Computer Networks and Communications and Geology, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (30 papers), Advanced Data Storage Technologies (22 papers) and Distributed and Parallel Computing Systems (19 papers). The work is most often cited by research in Artificial Intelligence (645 citations), Information Systems (304 citations) and Computer Networks and Communications (305 citations). Tomás F. Pena has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include José C. Cabaleiro, Francisco F. Rivera, D.L. Vilariño, Jorge Martínez Sánchez, Juan C. Pichel, Jorge Amigo, Feras M. Awaysheh, Mamoun Alazab, Sadi Alawadi and Patricia González. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.
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.