John Whaley

4.5k citations
27 papers · 2.4k · 2 hit papers · h-index 16

Impact in

Papers in

    • Logic, programming, and type systems 10
    • Advanced Software Engineering Methodologies 3
    • Software Testing and Debugging Techniques 11

John Whaley

27 papers receiving 2.2k citations

John Whaley's Hit Papers

Effective static race detection for Java 2006 · 342 citations
3420+6+13Years since publication100200300

Peers

John Whaley
Comparison fields: 5 of 67
  • Software 975
  • Hardware and Architecture 1.1k
  • Information Systems 947
  • Computer Networks and Communications 935
  • Artificial Intelligence 1.3k
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Citations per field
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Citations per year

Countries citing papers authored by John Whaley

Since Specialization
Citations

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

Fields of papers citing papers by John Whaley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside John Whaley, 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 John Whaley Line = papers co-authored together John Whaley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004395
2
Effective static race detection for Java
Hit paper breakdown →
2006342
3
Effective static race detection for Java
Hit paper breakdown →
2006300
4 1999293
5 1999196
6 2002174
7 2005118
8 2000110
9 2002110
10 200876
11 200161
12 199938
13 200235
14 200435
15 200333
16
Context-sensitive pointer analysis using binary decision diagrams
200717
17 202215
18 198515
19 200513
20 198611

About John Whaley

John Whaley is a scholar working on Artificial Intelligence, Software, Hardware and Architecture, Information Systems and Computational Theory and Mathematics, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (11 papers), Logic, programming, and type systems (10 papers), Parallel Computing and Optimization Techniques (9 papers), Formal Methods in Verification (7 papers), Software Engineering Research (5 papers), Software System Performance and Reliability (4 papers), Advanced Software Engineering Methodologies (3 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Software (975 citations), Hardware and Architecture (1.1k citations), Information Systems (947 citations), Computer Networks and Communications (935 citations) and Artificial Intelligence (1.3k citations). John Whaley has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include Monica S. Lam, Mayur Naik, Alex Aiken, Martin Rinard, Michael C. Martin, Michael C. Martin, Vugranam C. Sreedhar, David Grove, Harini Srinivasan and Jong-Deok Choi. Their work appears in journals such as ACM SIGPLAN Notices, Science of Computer Programming, The American Archivist, Library Resources and Technical Services and College & Research Libraries.

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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