Alejandro Peña
Impact in
- Virology top 10%
- HIV Research and Treatment
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
-
- Multi-Criteria Decision Making 4
- Co-authors
- Mario Góngora (14 shared papers)Isis Bonet (9 shared papers)Juan David González-Ruíz (12 shared papers)Francisco Chiclana (9 shared papers)Fabio Caraffini (5 shared papers)Rosa Quirantes‐Piné (1 shared paper)J. Uberos (1 shared paper)Cecilia Jiménez‐Sánchez (1 shared paper)
- Journals
- Applied Soft Computing (6 papers)Sustainability (3 papers)International Journal of Technology Enhanced Learning (2 papers)Agronomy (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ColombiaUnited KingdomSpain
In The Last Decade
Alejandro Peña
59 papers receiving 431 citations
Peers
Comparison fields: 5 of 129
- Virology 39
- Human-Computer Interaction 32
- Accounting 45
- Strategy and Management 58
- Infectious Diseases 68
Countries citing papers authored by Alejandro Peña
This map shows the geographic impact of Alejandro Peña'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 Alejandro Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Peña more than expected).
Fields of papers citing papers by Alejandro Peña
This network shows the impact of papers produced by Alejandro Peña. 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 Alejandro Peña. The network helps show where Alejandro Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Peña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2022 | 43 | |
| 3 | 2016 | 43 | |
| 4 | 2018 | 27 | |
| 5 | 2012 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2012 | 18 | |
| 9 | 2018 | 13 | |
| 10 | 2009 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2014 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2008 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 8 |
About Alejandro Peña
Alejandro Peña is a scholar working on Artificial Intelligence, Management Science and Operations Research, Accounting, Plant Science and Infectious Diseases, having authored 65 papers that have together received 464 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), Smart Agriculture and AI (5 papers), Financial Distress and Bankruptcy Prediction (5 papers), Multi-Criteria Decision Making (4 papers), HIV Research and Treatment (4 papers), Oil Palm Production and Sustainability (4 papers), HIV/AIDS Research and Interventions (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Virology (39 citations), Human-Computer Interaction (32 citations), Accounting (45 citations), Strategy and Management (58 citations) and Infectious Diseases (68 citations). Alejandro Peña has collaborated with scholars based in Colombia, United Kingdom and Spain. Frequent co-authors include Mario Góngora, Isis Bonet, Juan David González-Ruíz, Francisco Chiclana, Fabio Caraffini, Rosa Quirantes‐Piné, J. Uberos, Cecilia Jiménez‐Sánchez, Antonio Segura‐Carretero and Celia Rodríguez‐Pérez. Their work appears in journals such as Applied Soft Computing, Sustainability, International Journal of Technology Enhanced Learning, Agronomy and International Journal of Infectious Diseases.
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.