SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
2020 • 49858 Citations
Published in Nature Methods
Johannes Schönberger
Johannes Schönberger is a researcher affiliated with Meta, specializing in AI & Machine Learning. Their work has been cited 76,153 times. This profile visualizes their global influence, highlighting strong citation networks in US.
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Johannes Schönberger's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 76,153
- Citing Countries
- 11
As of April 2026.
Johannes Schönberger has an h-index of 1 and 76,153 total citations across 1 publication, with research cited by institutions in 11 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
United States(US)
16France(FR)
7Canada(CA)
4Israel(IL)
1United Kingdom(GB)
1Germany(DE)
1Japan(JP)
1Spain(ES)
1Finland(FI)
1Estonia(EE)
1Top Citing Institutions(Limited)
Independent researcher
7Meta
5University of California, Berkeley
4Quansight
4Tutte Institute for Mathematics and Computing
2Enthought
2University of California, Irvine
1University of Jyväskylä
1University of Oxford
1Skip Labs
1Visa 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 11 of 11 countries (35 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
Gergely Szilvasy
7.0Meta
France· Cited your work 1 time
IndependentTop institution - #2
Jeff Johnson
7.0Meta
France· Cited your work 1 time
IndependentTop institution - #3
Leland McInnes
7.0Tutte Institute for Mathematics and Computing
Canada· Cited your work 1 time
IndependentTop institution - #4
John Healy
7.0Tutte Institute for Mathematics and Computing
Canada· Cited your work 1 time
IndependentTop institution - #5
Kevin Sheppard
8.5University of Oxford
United Kingdom· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Stephan Hoyer
7.0Google Research
USA· Cited your work 1 time
IndependentTop institution - #7
Eric Wieser
8.5University of Cambridge
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography - #8
Tyler Reddy
7.0Los Alamos National Laboratory
USA· Cited your work 1 time
IndependentTop institution - #9
Jaime Fernández del Río
6.5Independent researcher
Spain· Cited your work 1 time
IndependentDiversifies geography - #10
Julian Taylor
6.5Independent researcher
Germany· Cited your work 1 time
IndependentDiversifies 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 5 papers
4 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Leland McInnes, John Healy, James Melville
arXiv· cites “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”
- Array programming with NumPySame institution
Charles R. Harris, K. Jarrod Millman, Ralf Gommers, Pauli Virtanen + 22 more
Nature· cites “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”
Matthijs Douze, Alexandr Guzhva, Jeff Johnson, Gergely Szilvasy + 5 more
IEEE Transactions on Big Data· cites “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”
· cites “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”
· cites “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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