Scott Lundberg

23.8k citations
25 papers · 7.5k · 3 hit papers · h-index 14

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Explainable Artificial Intelligence (XAI)
    • Machine Learning in Healthcare
    • Machine Learning and Data Classification

Papers in

    • Explainable Artificial Intelligence (XAI) 7
    • Machine Learning and Data Classification 5
    • Machine Learning in Healthcare 4
    • Topic Modeling 3
    • Natural Language Processing Techniques 2
    • Genomics and Chromatin Dynamics 3
    • Gene expression and cancer classification 2

Scott Lundberg

25 papers receiving 7.4k citations

Scott Lundberg's Hit Papers

Algorithms to estimate Shapley value feature attributions 2023 · 232 citations
2320+2+5Years since publication10002.0k3.0k4.0k5.0k

Peers

Scott Lundberg
Comparison fields: 5 of 215
  • Health Informatics 271
  • Artificial Intelligence 1.6k
  • Health Information Management 177
  • Environmental Engineering 548
  • Transportation 155
Replace Bala G. Nair with:
Bala G. Nair United States
Su‐In Lee United States
Alex J. DeGrave United States
Hugh Chen United States
Ronit Katz United States
Jonathan Himmelfarb United States
Gabriel Erion United States
Nisha Bansal United States
Jordan M. Prutkin United States
Anne‐Laure Boulesteix Germany
Scott Lundberg relative to Bala G. Nair United States Bala G. Nair's profile →
Citations per field
00.5×1.5×
Bala G. Nair · 1×
Citations per year

Countries citing papers authored by Scott Lundberg

Since Specialization
Citations

This map shows the geographic impact of Scott Lundberg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Scott Lundberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Lundberg more than expected).

Fields of papers citing papers by Scott Lundberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Lundberg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Scott Lundberg. The network helps show where Scott Lundberg may publish in the future.

Co-authors

The 25 scholars most cited alongside Scott Lundberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Lundberg Line = papers co-authored together Scott Lundberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From local explanations to global understanding with explainable AI for trees
Hit paper breakdown →
20205234
2
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Hit paper breakdown →
20181281
3
Algorithms to estimate Shapley value feature attributions
Hit paper breakdown →
2023232
4 2017198
5 2022138
6 202096
7 202262
8 202135
9 200627
10 201622
11 202222
12
Learning Explainable Models Using Attribution Priors
201922
13 200620
14 202016
15 20109
16 20178
17 20238
18 20227
19 20197
20
Understanding Global Feature Contributions With Additive Importance Measures
20206

About Scott Lundberg

Scott Lundberg is a scholar working on Artificial Intelligence, Molecular Biology, Biomedical Engineering, Surgery and Information Systems, having authored 25 papers that have together received 7.5k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Machine Learning and Data Classification (5 papers), Machine Learning in Healthcare (4 papers), Topic Modeling (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene expression and cancer classification (2 papers), Natural Language Processing Techniques (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Health Informatics (271 citations), Artificial Intelligence (1.6k citations), Health Information Management (177 citations), Environmental Engineering (548 citations) and Transportation (155 citations). Scott Lundberg has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Su‐In Lee, Hugh Chen, Bala G. Nair, Gabriel Erion, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Alex J. DeGrave, Jordan M. Prutkin and Shu-Fang Newman. Their work appears in journals such as Nature Communications, Nature Machine Intelligence, Academic Medicine, Nature Biomedical Engineering and Genome biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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