Alejandro Peña: h-index, Total Citations, and Citation Map
Alejandro Peña's h-index is 24 (54 i10-index, 2,248+ total citations across 100+ publications) according to Google Scholar as of June 2026. Alejandro Peña is affiliated with EAFIT University.
Alejandro Peña is a researcher affiliated with EAFIT University, specializing in Machine Learning & FINTECH. Their work has been cited 2,248 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Alejandro Peña's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 24
- i10-Index
- 54
- Total Citations
- 2,248
- Citing Countries
- 11
As of June 2026.
Alejandro Peña has an h-index of 24 and 2,248 total citations across 100 publications, with research cited by institutions in 11 countries.
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Central and peripheral nervous system involvement by COVID-19: a systematic review of the pathophysiology, clinical manifestations, neuropathology, neuroimaging …
2021149
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Alejandro Peña's research
Alejandro Peña is a researcher in Machine Learning & FINTECH at EAFIT University. Their work has been cited 2,248 times across 100 publications (h-index 24), according to Google Scholar.
Their most-cited work, “Central and peripheral nervous system involvement by COVID-19: a systematic review of the pathophysiology, clinical manifestations, neuropathology, neuroimaging …” (2021), has accumulated 149 citations. Other influential works include “LSTM recurrent neural network for hand gesture recognition using EMG signals” (2022) with 133 citations and “The burst observer and optical transient exploring system (BOOTES)” (1999) with 129 citations.
Citations of Alejandro Peña's research come primarily from United Kingdom, China and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











