Clay Williams

1.1k citations
29 papers · 710 · h-index 14

Impact in

Papers in

    • Software Engineering Research 13
    • Software Engineering Techniques and Practices 8
    • Software Testing and Debugging Techniques 7
    • Model-Driven Software Engineering Techniques 6
    • Software Reliability and Analysis Research 3

Clay Williams

29 papers receiving 667 citations

Peers

Clay Williams
Comparison fields: 5 of 85
  • Software 219
  • Computer Science Applications 94
  • Information Systems 304
  • Developmental Neuroscience 44
  • Management Information Systems 45
Replace María M. Larrondo-Petrie with:
María M. Larrondo-Petrie United States
Antonio Martini Sweden
Jörg Kienzle Canada
Marko van Eekelen Netherlands
Saeed Salem United States
Spencer Rugaber United States
Ming Fan China
P. Layzell United Kingdom
Ademar Aguiar Portugal
Shigeru Chiba Japan
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Citations per field
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Citations per year

Countries citing papers authored by Clay Williams

Since Specialization
Citations

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

Fields of papers citing papers by Clay Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015143
2 200796
3 201477
4 201163
5 200760
6 200839
7 200527
8 201524
9 200823
10 198122
11 200821
12 200717
13 200815
14 200515
15 200712
16 20109
17 19907
18
Towards a Test-Ready Meta-model for Use Cases
20016
19 20065
20 20075

About Clay Williams

Clay Williams is a scholar working on Information Systems, Software, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 29 papers that have together received 710 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software Engineering Techniques and Practices (8 papers), Software Testing and Debugging Techniques (7 papers), Model-Driven Software Engineering Techniques (6 papers), Open Source Software Innovations (5 papers), Advanced Software Engineering Methodologies (5 papers), Software System Performance and Reliability (5 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (219 citations), Computer Science Applications (94 citations), Information Systems (304 citations), Developmental Neuroscience (44 citations) and Management Information Systems (45 citations). Clay Williams has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Joshua J. Coon, Amit Paradkar, Tim Klinger, Cemal Yılmaz, Peri Tarr, Edwin R. Chapman, David A. Ruhl, Ethan S. Lippmann, Randolph S. Ashton and Sunita Chulani. Their work appears in journals such as Journal of the Association for Information Systems, RNA, Stem Cell Reports, Insect Biochemistry and Molecular Biology and IBM Systems Journal.

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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