Frederick Eberhardt

1.6k citations
40 papers · 760 · h-index 16

Impact in

Papers in

Frederick Eberhardt

39 papers receiving 712 citations

Peers

Frederick Eberhardt
Comparison fields: 5 of 104
  • History and Philosophy of Science 147
  • Artificial Intelligence 428
  • Statistics and Probability 94
  • General Decision Sciences 19
  • Management Science and Operations Research 83
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Jiji Zhang United States
Janne V. Kujala Finland
Robert L. Causey United States
Joseph W. Dauben United States
Dag Westerståhl Sweden
Gernot D. Kleiter Austria
Thomas Icard United States
Michiel van Lambalgen Netherlands
Benedikt Löwe Netherlands
Julian Feldman United States
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Citations per field
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Citations per year

Countries citing papers authored by Frederick Eberhardt

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Frederick Eberhardt, 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 Frederick Eberhardt Line = papers co-authored together Frederick Eberhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007123
2 201659
3 201250
4 200947
5
Constraint-based causal discovery: conflict resolution with answer set programming
201439
6 201639
7 201138
8
On the number of experiments sufficient and in the worst case necessary to identify all causal relations among N variables
200536
9 200628
10
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI)
201727
11 201327
12
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
201025
13 201320
14
Do-calculus when the true graph is unknown
201519
15 201718
16 202015
17
The Concept of Probability in the Mathematical Representation of Reality
200815
18 200912
19 201412
20 201310

About Frederick Eberhardt

Frederick Eberhardt is a scholar working on Artificial Intelligence, Statistics and Probability, History and Philosophy of Science, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 40 papers that have together received 760 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (25 papers), Philosophy and History of Science (10 papers), Machine Learning and Algorithms (9 papers), Advanced Causal Inference Techniques (6 papers), Logic, Reasoning, and Knowledge (5 papers), Machine Learning and Data Classification (4 papers), Epistemology, Ethics, and Metaphysics (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in History and Philosophy of Science (147 citations), Artificial Intelligence (428 citations), Statistics and Probability (94 citations), General Decision Sciences (19 citations) and Management Science and Operations Research (83 citations). Frederick Eberhardt has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Richard Scheines, Antti Hyttinen, Patrik O. Hoyer, Clark Glymour, David Danks, Matti J„ärvisalo, Pietro Perona, Jiji Zhang, Wolfgang Mayer and Ralph Adolphs. Their work appears in journals such as Synthese, Journal of Machine Learning Research, Philosophy of Science, Behavioral and Brain Sciences and Philosophy Compass.

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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