Jaume Bacardit: h-index, Total Citations, and Citation Map
Jaume Bacardit's h-index is 41 (98 i10-index, 9,481+ total citations across 100+ publications) according to Google Scholar as of June 2026. Jaume Bacardit is affiliated with Newcastle University.
Jaume Bacardit is a researcher affiliated with Newcastle University, specializing in Bioinformatics, Machine Learning, Data Mining. Their work has been cited 9,481 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jaume Bacardit's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 41
- i10-Index
- 98
- Total Citations
- 9,481
- Citing Countries
- 58
As of June 2026.
Jaume Bacardit has an h-index of 41 and 9,481 total citations across 100 publications, with research cited by institutions in 58 countries.
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We've mapped 5,000 of 9,481 citations for Jaume Bacardit
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Global Impact Map
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KEEL: a software tool to assess evolutionary algorithms for data mining problems
20091,859
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.
1 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for decoding human fetal liver haematopoiesis, subsequently demonstrating how developmental cell programs are co-opted in inflammatory skin disease.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jaume Bacardit's research
Jaume Bacardit is a researcher in Bioinformatics, Machine Learning and Data Mining at Newcastle University. Their work has been cited 9,481 times across 100 publications (h-index 41), according to Google Scholar.
Their most-cited work, “KEEL: a software tool to assess evolutionary algorithms for data mining problems” (2009), has accumulated 1,859 citations. Other influential works include “Single-cell multi-omics analysis of the immune response in COVID-19” (2021) with 831 citations and “Decoding human fetal liver haematopoiesis” (2019) with 645 citations.
Citations of Jaume Bacardit's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
