Pedro Domingos

41.0k citations
185 papers · 23.6k · 9 hit papers · h-index 64

Impact in

    • Bayesian Modeling and Causal Inference
    • Data Stream Mining Techniques
    • Semantic Web and Ontologies
    • Machine Learning and Data Classification
    • Anomaly Detection Techniques and Applications

Papers in

    • Bayesian Modeling and Causal Inference 72
    • Machine Learning and Algorithms 29
    • Semantic Web and Ontologies 28
    • Machine Learning and Data Classification 26
    • Topic Modeling 20
    • Data Mining Algorithms and Applications 38

Pedro Domingos

183 papers receiving 21.7k citations

Pedro Domingos's Hit Papers

A few useful things to know about machine learning 2012 · 1.9k citations
1.9k0+9+19Years since publication50010001.5k2.0k

Peers

Pedro Domingos
Comparison fields: 5 of 213
  • Artificial Intelligence 14.5k
  • Signal Processing 2.8k
  • Statistical and Nonlinear Physics 3.1k
  • Information Systems 5.4k
  • Management Science and Operations Research 2.5k
Replace C. Lee Giles with:
C. Lee Giles United States
Charų C. Aggarwal United States
Carlos Guestrin United States
William W. Cohen United States
Sergey Brin United States
Prabhakar Raghavan United States
Hui Xiong China
Vipin Kumar United States
Huan Liu United States
Susan Dumais United States
Pedro Domingos relative to C. Lee Giles United States C. Lee Giles's profile →
Citations per field
00.5×1.5×
C. Lee Giles · 1×
Citations per year

Countries citing papers authored by Pedro Domingos

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Domingos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Hit paper breakdown →
19972122
2
A few useful things to know about machine learning
Hit paper breakdown →
20121896
3
Mining the network value of customers
Hit paper breakdown →
20011783
4
Markov logic networks
Hit paper breakdown →
20061507
5
Mining high-speed data streams
Hit paper breakdown →
20001309
6
Mining time-changing data streams
Hit paper breakdown →
20011083
7
Mining knowledge-sharing sites for viral marketing
Hit paper breakdown →
20021041
8
MetaCost
Hit paper breakdown →
1999924
9
Adversarial classification
Hit paper breakdown →
2004524
10 2002488
11 2001460
12
Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier.
1996456
13
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
2003342
14 2003342
15 2009313
16 1999275
17 2003260
18 2003254
19 2006236
20
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank
2001233

About Pedro Domingos

Pedro Domingos is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management Science and Operations Research and Computer Networks and Communications, having authored 185 papers that have together received 23.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (72 papers), Data Mining Algorithms and Applications (38 papers), Machine Learning and Algorithms (29 papers), Semantic Web and Ontologies (28 papers), Machine Learning and Data Classification (26 papers), Data Quality and Management (22 papers), Topic Modeling (20 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Artificial Intelligence (14.5k citations), Signal Processing (2.8k citations), Statistical and Nonlinear Physics (3.1k citations), Information Systems (5.4k citations) and Management Science and Operations Research (2.5k citations). Pedro Domingos has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include Matthew Richardson, Michael J. Pazzani, Geoff Hulten, Matt Richardson, Hoifung Poon, Alon Halevy, AnHai Doan, Parag Singla, Daniel Lowd and Stanley Kok. Their work appears in journals such as Machine Learning, Nature Communications, Cell Reports, Communications of the ACM and Mechanisms of Development.

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.

Explore authors with similar magnitude of impact