Tomás F. Pena
- Artificial Intelligence top 2%
- Information Systems top 2%
- Cloud Computing and Resource Management 18
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- Advanced Data Storage Technologies 22
- Distributed and Parallel Computing Systems 19
- Interconnection Networks and Systems 13
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 30
- Signal Processing top 5%
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- Matrix Theory and Algorithms 14
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- Remote Sensing and LiDAR Applications 11
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- 3D Surveying and Cultural Heritage 10
- Co-authors
- José C. CabaleiroFrancisco F. RiveraD.L. VilariñoJorge Martínez SánchezJuan C. PichelJorge AmigoFeras M. AwayshehMamoun Alazab
- Journals
- SHILAP Revista de lepidopterología (2 papers)Environmental Science & Technology (1 paper)Bioinformatics (2 papers)
- 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
- Information Systems 304
- Computer Networks and Communications 305
- Hardware and Architecture 88
- Signal Processing 116
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
The 25 scholars most cited alongside Tomás F. Pena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 11 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 74 | |
| 15 | Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data | 2014 | 3 |
| 16 | 2012 | 4 | |
| 17 | 2009 | 7 | |
| 18 | 2006 | 76 | |
| 19 | Performance of parallel iterative solvers: A library, a prediction model, and a visualization tool | 2002 | 1 |
| 20 | 2000 | 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), Distributed and Parallel Computing Systems (19 papers), Cloud Computing and Resource Management (18 papers), Matrix Theory and Algorithms (14 papers), Interconnection Networks and Systems (13 papers), Remote Sensing and LiDAR Applications (11 papers) and 3D Surveying and Cultural Heritage (10 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.