Peter G. Selfridge

956 citations
41 papers · 638 indexed · h-index 11

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Service-Oriented Architecture and Web Services

Papers in

Peter G. Selfridge

37 papers receiving 554 citations

Peers

Peter G. Selfridge
Comparison fields: 5 of 62
  • Software 144
  • Information Systems 407
  • Computer Science Applications 52
  • Artificial Intelligence 293
  • Human-Computer Interaction 50
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Citations per year

Countries citing papers authored by Peter G. Selfridge

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Selfridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Selfridge. 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 Peter G. Selfridge. The network helps show where Peter G. Selfridge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20021
2 20020
3 19963
4 19965
5 199618
6 19957
7 199570
8 19941
9 19941
10 199350
11 199052
12
A knowledge-based software information system
198922
13
How to print a file: an expert system approach to software knowledge representation
19882
14 19863
15 19854
16 19841
17 19811
18
Reasoning About Images: Application to Aerial Image Understanding.
19811
19 19791
20
Raster Image File Format (RIFF): An Approach to Problems in Image Management
19795

About Peter G. Selfridge

Peter G. Selfridge is a scholar working on Software, Structural Biology, Information Systems, Computer Vision and Pattern Recognition and Biophysics, having authored 41 papers that have together received 638 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Engineering Techniques and Practices (10 papers), Advanced Database Systems and Queries (6 papers), Medical Image Segmentation Techniques (5 papers), Model-Driven Software Engineering Techniques (4 papers), AI-based Problem Solving and Planning (4 papers), Semantic Web and Ontologies (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Software (144 citations), Information Systems (407 citations), Computer Science Applications (52 citations), Artificial Intelligence (293 citations) and Human-Computer Interaction (50 citations). Peter G. Selfridge has collaborated with scholars based in United States and Canada. Frequent co-authors include Prémkumar Dévanbu, Bruce W. Ballard, Ron Brachman, Loren Terveen, Mei Long, Daniel E. O’Leary, R. J. Brachman, Divesh Srivastava, Ronald J. Brachman and Lynn O. Wilson. Their work appears in journals such as Automated Software Engineering, Communications of the ACM, Human-Computer Interaction, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Cooperative Information Systems.

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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