Eric Neufeld

962 citations
56 papers · 555 · h-index 14

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 14
    • Logic, Reasoning, and Knowledge 10
    • AI-based Problem Solving and Planning 8
    • Advanced Software Engineering Methodologies 5
    • Semantic Web and Ontologies 4
    • Software Engineering Research 6
    • Software Engineering Techniques and Practices 4

Eric Neufeld

54 papers receiving 505 citations

Peers

Eric Neufeld
Comparison fields: 5 of 103
  • Human-Computer Interaction 55
  • Computer Graphics and Computer-Aided Design 30
  • Artificial Intelligence 245
  • Computer Science Applications 40
  • Information Systems 116
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Citations per field
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Citations per year

Countries citing papers authored by Eric Neufeld

Since Specialization
Citations

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

Fields of papers citing papers by Eric Neufeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200585
2 200642
3 199137
4 200733
5
Visualizing Causal Relations
199924
6 200422
7 200021
8
Defaults and probabilities: extensions and coherence
198920
9 202220
10 200819
11
Temporal Bayesian Networks.
199415
12 202314
13 198514
14 198613
15 200511
16 201010
17 20099
18 19939
19 19958
20
Using attention in belief revision
19917

About Eric Neufeld

Eric Neufeld is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Organic Chemistry, having authored 56 papers that have together received 555 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (14 papers), Logic, Reasoning, and Knowledge (10 papers), AI-based Problem Solving and Planning (8 papers), Software Engineering Research (6 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Techniques and Practices (4 papers), Semantic Web and Ontologies (4 papers) and Cyclopropane Reaction Mechanisms (4 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Computer Graphics and Computer-Aided Design (30 citations), Artificial Intelligence (245 citations), Computer Science Applications (40 citations) and Information Systems (116 citations). Eric Neufeld has collaborated with scholars based in Canada and United States. Frequent co-authors include David Callele, Kevin A. Schneider, Gordon I. McCalla, Charles J. Colbourn, David Mould, Mark Eramian, Jim Greer, Colin Ware, Roger A. Pierson and Lyn Bartram. Their work appears in journals such as International Journal of Approximate Reasoning, Canadian Journal of Chemistry, IEEE Software, Journal of Symbolic Logic and Annals of Anatomy - Anatomischer Anzeiger.

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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