Daphne Koller

57.0k citations
216 papers · 30.6k indexed · 16 hit papers · h-index 86

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 68
    • Machine Learning and Algorithms 25
    • Logic, Reasoning, and Knowledge 21
    • AI-based Problem Solving and Planning 16
    • Machine Learning and Data Classification 14
    • Advanced Image and Video Retrieval Techniques 18

Daphne Koller

215 papers receiving 28.9k citations

Hit Papers

Peer and self assessment in massive online classes 2013 · 278 citations
278199620262006201610002.0k3.0k

Peers

Daphne Koller
Comparison fields: 5 of 221
  • Artificial Intelligence 11.8k
  • Computer Vision and Pattern Recognition 6.9k
  • Management Science and Operations Research 1.7k
  • Computer Science Applications 706
  • Signal Processing 1.4k
Replace Koray Kavukcuoglu with:
Koray Kavukcuoglu United States
Demis Hassabis United Kingdom
David Silver United States
Corinna Cortes United States
Thomas M. Cover United States
N. M. Laird United States
Marco Dorigo Belgium
Martin Ester Canada
Chih‐Jen Lin Taiwan
Léon Bottou United States
Daphne Koller relative to Koray Kavukcuoglu United States Koray Kavukcuoglu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daphne Koller

Since Specialization
Citations

This map shows the geographic impact of Daphne Koller'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 Daphne Koller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphne Koller more than expected).

Fields of papers citing papers by Daphne Koller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daphne Koller. 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 Daphne Koller. The network helps show where Daphne Koller may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daphne Koller, 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 Daphne Koller Line = papers co-authored together Daphne Koller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201315
2
Shifting Weights: Adapting Object Detectors from Image to Video
2012121
3
Sentence Simplification for Semantic Role Labeling
200874
4 20042
5
Max-Margin Parsing
2004144
6
A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules
Hit paper breakdown →
20031640
7
Learning probabilistic models of link structure
2003142
8
Learning on the test data: leveraging Unseen features
200316
9
Monitoring a complex physical system using a hybrid dynamic bayes net
200234
10 200257
11
Structured models for multi-agent interactions
20010
12
Making Rational Decisions Using Adaptive Utility Elicitation
2000152
13
Discovering the hidden structure of complex dynamic systems
199941
14
Computing Factored Value Functions for Policies in Structured MDPs
199995
15
Efficient reinforcement learning in factored MDPs
199981
16
Structured probabilistic models: Bayesian networks and beyond
19988
17
Hierarchically Classifying Documents Using Very Few Words
Hit paper breakdown →
1997556
18
Using Probabilistic Information in Data Integration
199761
19
Local learning in probabilistic networks with hidden variables
199589
20
A Logic for Approximate Reasoning.
19923

About Daphne Koller

Daphne Koller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Science Applications, having authored 216 papers that have together received 30.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (68 papers), Machine Learning and Algorithms (25 papers), Logic, Reasoning, and Knowledge (21 papers), Bioinformatics and Genomic Networks (21 papers), Advanced Image and Video Retrieval Techniques (18 papers), AI-based Problem Solving and Planning (16 papers), Machine Learning and Data Classification (14 papers) and Robotics and Sensor-Based Localization (14 papers). The work is most often cited by research in Artificial Intelligence (11.8k citations), Computer Vision and Pattern Recognition (6.9k citations), Management Science and Operations Research (1.7k citations), Computer Science Applications (706 citations) and Signal Processing (1.4k citations). Daphne Koller has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Eran Segal, Nir Friedman, Léon Bottou, Yoshua Bengio, Dale Schuurmans, Mehran Sahami, Ben Taskar, Sebastian Thrun, Carlos Guestrin and Aviv Regev. Their work appears in journals such as Molecular Systems Biology, Games and Economic Behavior, Nature Genetics, Bioinformatics and Journal of Computational 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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