Ensemble Methods in Machine Learning
2000 • 13313 Citations
Published in First International Workshop on Multiple Classifier Systems (MCS 2000)
Thomas Dietterich
Thomas Dietterich is a researcher affiliated with Distinguished Professor (Emeritus), Computer Science, Oregon State University, specializing in AI & Machine Learning. Their work has been cited 75,028 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
0h-index
0i10-index
0Citations
0Works
0Countries
Distinguished Professor (Emeritus), Computer Science, Oregon State University•
Share:
Unlock Full Map — Pro tier (10K–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.
Thomas Dietterich's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 75,028
- Citing Countries
- 3
As of April 2026.
Thomas Dietterich has an h-index of 1 and 75,028 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
United States(US)
12India(IN)
3Singapore(SG)
1Top Citing Institutions(Limited)
Los Alamos National Laboratory
11Indian Institute of Technology Indore
3NVIDIA Corporation
1Nanyang Technological University
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 3 of 3 countries (16 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
Maksim Kulichenko
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #2
Benjamin Tyler Nebgen
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #3
Mudasir Ahmad Ganaie
8.5Indian Institute of Technology Indore
India· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Arun Kumar Malik
8.5Indian Institute of Technology Indore
India· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Minghui Hu
8.5Nanyang Technological University
Singapore· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Nicholas Edward Lubbers
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #7
Emily Suzanne Shinkle
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #8
Nikita Fedik
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #9
Ying Wai Li
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution - #10
Richard Alma Messerly
7.0Los Alamos National Laboratory
United States· Cited your work 1 time
IndependentTop institution
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
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Oregon State University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Maksim Kulichenko, Benjamin Tyler Nebgen, Nicholas Edward Lubbers, Justin S. Smith + 8 more
Chemical Reviews· cites “Ensemble Methods in Machine Learning”
Mudasir Ahmad Ganaie, Minghui Hu, Arun Kumar Malik, Muhammad Tanveer + 1 more
Engineering Applications of Artificial Intelligence· cites “Ensemble Methods in Machine Learning”
· cites “Ensemble Methods in Machine Learning”
· cites “Ensemble Methods in Machine Learning”
· cites “Ensemble Methods in Machine Learning”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Insufficient data
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
'16
'18
'20
'22
'24
'26
Related Guides
Learn how to use citation maps for your research and visa applications.