Richard Waldinger

3.5k citations
64 papers · 1.6k · h-index 21

Impact in

Papers in

Richard Waldinger

61 papers receiving 1.3k citations

Peers

Richard Waldinger
Comparison fields: 5 of 59
  • Software 378
  • Computational Theory and Mathematics 706
  • Artificial Intelligence 1.3k
  • Hardware and Architecture 185
  • Information Systems 357
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Citations per field
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Citations per year

Countries citing papers authored by Richard Waldinger

Since Specialization
Citations

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

Fields of papers citing papers by Richard Waldinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980299
2 1971151
3 199290
4 197985
5 197279
6
PROW: a step toward automatic program writing
196973
7 197563
8
The logical basis for computer programming
198558
9
QA4: A Procedural Calculus for Intuitive Reasoning.
197254
10 197440
11 197839
12 198737
13
The logical basis for computer programming. Volume 1: deductive reasoning
198536
14 197836
15 198635
16
A Guide to Snark
200032
17 198123
18
CONSTRUCTING PROGRAMS AUTOMATICALLY USING THEOREM PROVING.
196923
19
Progress report on program-understanding systems.
197421
20
A Language for Writing Problem-solving Programs
197120

About Richard Waldinger

Richard Waldinger is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Information Systems and Computer Networks and Communications, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Logic, programming, and type systems (35 papers), Formal Methods in Verification (23 papers), Semantic Web and Ontologies (13 papers), Logic, Reasoning, and Knowledge (12 papers), Software Testing and Debugging Techniques (10 papers), Software Engineering Research (8 papers), AI-based Problem Solving and Planning (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Software (378 citations), Computational Theory and Mathematics (706 citations), Artificial Intelligence (1.3k citations), Hardware and Architecture (185 citations) and Information Systems (357 citations). Richard Waldinger has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Zohar Manna, Karl Levitt, Richard C. T. Lee, Mark E. Stickel, B. Elspas, Abraham Waksman, Vinay K. Chaudhri, Xiaolei Qian, Jerry R. Hobbs and C. L. Chang. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering, Science of Computer Programming, Artificial Intelligence and Journal of Automated Reasoning.

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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