Jennifer Ngadiuba
Jennifer Ngadiuba is a researcher affiliated with Wilson Fellow, Fermilab, specializing in AI & Machine Learning. Their work has been cited 164,606 times. This profile visualizes their global influence, highlighting strong citation networks in US.
Unlock Full Map — Elite tier (100K+ citations)
One-time payment. Full data, CSV export, and embed code.
Viewing Limited Data
Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.
Jennifer Ngadiuba's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 164,606
- Citing Countries
- 16
As of April 2026.
Jennifer Ngadiuba has an h-index of 1 and 164,606 total citations across 1 publication, with research cited by institutions in 16 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Top Citing Countries(Limited)
Top Citing Institutions(Limited)
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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 14 of 16 countries (98 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Miguel Albaladejo
7.0Thomas Jefferson National Accelerator Facility
USA· Cited your work 1 time
IndependentTop institution - #2
Yulia Furletova
7.0Thomas Jefferson National Accelerator Facility
USA· Cited your work 1 time
IndependentTop institution - #3
Nora Brambilla
7.0Technical University of Munich
Germany· Cited your work 1 time
IndependentTop institution - #4
Antonio Vairo
7.0Technical University of Munich
Germany· Cited your work 1 time
IndependentTop institution - #5
R. Abdul Khalek
8.5Vrije Universiteit Amsterdam & Nikhef
Netherlands· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Hai-Bo Li
7.0Institute of High Energy Physics
China· Cited your work 1 time
IndependentTop institution - #7
Yang Li
7.0University of Science and Technology of China
China· Cited your work 1 time
IndependentTop institution - #8
Luigi Del Debbio
8.5University of Edinburgh
United Kingdom· Cited your work 1 time
IndependentTop institutionDiversifies geography - #9
Kenji Fukushima
8.5University of Tokyo
Japan· Cited your work 1 time
IndependentTop institutionDiversifies geography - #10
Massimiliano Grazzini
8.5University of Zurich
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 4 papers
Citations flagged as non-independent share the scholar's home institution (Institut für Hochenergiephysik). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Rolf Ent, Jaroslav Adam, Elke-Caroline Aschenauer, Tanja Horn + 20 more
Nuclear Physics A· cites “Particle-flow reconstruction and global event description with the CMS detector”
Eberhard Klempt, Stanley J. Brodsky, Volker D. Burkert, Gudrun Heinrich + 80 more
The European Physical Journal C· cites “Particle-flow reconstruction and global event description with the CMS detector”
· cites “Particle-flow reconstruction and global event description with the CMS detector”
· cites “Particle-flow reconstruction and global event description with the CMS detector”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.