Todd Graves

9.2k citations
51 papers · 2.3k · 1 hit paper · h-index 21

Impact in

  • Software top 0.2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Software Reliability and Analysis Research 17
    • Software Testing and Debugging Techniques 4
    • Statistical Distribution Estimation and Applications 6
    • Statistical Methods and Bayesian Inference 4

Todd Graves

48 papers receiving 2.1k citations

Todd Graves's Hit Papers

Predicting fault incidence using software change history 2000 · 572 citations
5720+8+17Years since publication100200300400500

Peers

Todd Graves
Comparison fields: 5 of 122
  • Software 1.2k
  • Information Systems 1.4k
  • Computer Science Applications 192
  • Statistics, Probability and Uncertainty 219
  • Computer Networks and Communications 495
Replace Lorenzo Strigini with:
Lorenzo Strigini United Kingdom
Yanping Xiang China
Stefano Russo Italy
Hiroyuki Okamura Japan
Shigeru Yamada Japan
Miklós Telek Hungary
Sonali Agarwal India
Yennun Huang Taiwan
L. Finkelstein United Kingdom
Jim Woodcock United Kingdom
Todd Graves relative to Lorenzo Strigini United Kingdom Lorenzo Strigini's profile →
Citations per field
00.5×12×
Lorenzo Strigini · 1×
Citations per year

Countries citing papers authored by Todd Graves

Since Specialization
Citations

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

Fields of papers citing papers by Todd Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting fault incidence using software change history
Hit paper breakdown →
2000572
2 2001430
3 2001249
4 2015133
5 199893
6 200484
7 200281
8 201667
9 200257
10 200650
11 200248
12 200245
13 200643
14 201032
15 199930
16 199727
17 200727
18 200323
19 200823
20 200723

About Todd Graves

Todd Graves is a scholar working on Software, Statistics and Probability, Statistics, Probability and Uncertainty, Information Systems and Artificial Intelligence, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (17 papers), Software Engineering Research (10 papers), Reliability and Maintenance Optimization (6 papers), Statistical Distribution Estimation and Applications (6 papers), Probabilistic and Robust Engineering Design (5 papers), Risk and Safety Analysis (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (1.2k citations), Information Systems (1.4k citations), Computer Science Applications (192 citations), Statistics, Probability and Uncertainty (219 citations) and Computer Networks and Communications (495 citations). Todd Graves has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Alan F. Karr, J. S. Marron, Audris Mockus, Harvey Siy, S.G. Eick, Mary Jean Harrold, Gregg Rothermel, Michael S. Hamada, Adam Porter and Jungmin Kim. Their work appears in journals such as IEEE Transactions on Software Engineering, Technometrics, Quality and Reliability Engineering International, Reliability Engineering & System Safety and Journal of Clinical Oncology.

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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