Antonio LaTorre: h-index, Total Citations, and Citation Map
Antonio LaTorre's h-index is 21 (33 i10-index, 2,354+ total citations across 76+ publications) according to Google Scholar as of June 2026. Antonio LaTorre is affiliated with Associate Professor, Universidad Politécnica de Madrid.
Antonio LaTorre is a researcher affiliated with Associate Professor, Universidad Politécnica de Madrid, specializing in Artificial Intelligence, Machine Learning, Data Science. Their work has been cited 2,354 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Antonio LaTorre's Citation Metrics
Bibliometric impact based on 76 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 21
- i10-Index
- 33
- Total Citations
- 2,354
- Citing Countries
- 61
As of June 2026.
Antonio LaTorre has an h-index of 21 and 2,354 total citations across 76 publications, with research cited by institutions in 61 countries.
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Global Impact Map
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A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
2021476
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
2 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Antonio LaTorre's research
Antonio LaTorre is a researcher in Artificial Intelligence, Machine Learning and Data Science at Associate Professor, Universidad Politécnica de Madrid. Their work has been cited 2,354 times across 76 publications (h-index 21), according to Google Scholar.
Their most-cited work, “A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems” (2021), has accumulated 476 citations. Other influential works include “A prescription of methodological guidelines for comparing bio-inspired optimization algorithms” (2021) with 243 citations and “Large scale global optimization: Experimental results with MOS-based hybrid algorithms” (2013) with 152 citations.
Citations of Antonio LaTorre's research come primarily from China, Spain and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
