Tim Kelly

160 papers receiving 2.9k citations

Peers

Tim Kelly
Comparison fields: 5 of 101
  • Software 1.6k
  • Medical Laboratory Technology 419
  • Safety, Risk, Reliability and Quality 2.1k
  • Statistics, Probability and Uncertainty 1.1k
  • Radiological and Ultrasound Technology 156
Replace John McDermid with:
John McDermid United Kingdom
Yiannis Papadopoulos United Kingdom
J.B. Dugan United States
Bev Littlewood United Kingdom
Robin Bloomfield United Kingdom
Mariëlle Stoelinga Netherlands
Peter Bishop United Kingdom
Lorenzo Strigini United Kingdom
Antoine Rauzy France
Suprasad V. Amari United States
Tim Kelly relative to John McDermid United Kingdom John McDermid's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Goal Structuring Notation – A Safety Argument Notation
2004358
2 2012158
3 2010132
4 1997126
5 2017125
6 1999101
7 200296
8 201579
9 200471
10 201371
11 201460
12 199757
13 201151
14 201649
15 200447
16 200346
17 200645
18 199842
19 201941
20 201240

About Tim Kelly

Tim Kelly is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics, Probability and Uncertainty, Artificial Intelligence and Information Systems, having authored 165 papers that have together received 3.1k indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (134 papers), Software Reliability and Analysis Research (90 papers), Risk and Safety Analysis (78 papers), Advanced Software Engineering Methodologies (26 papers), Quality and Safety in Healthcare (18 papers), Formal Methods in Verification (15 papers), Software Engineering Techniques and Practices (13 papers) and Systems Engineering Methodologies and Applications (12 papers). The work is most often cited by research in Software (1.6k citations), Medical Laboratory Technology (419 citations), Safety, Risk, Reliability and Quality (2.1k citations), Statistics, Probability and Uncertainty (1.1k citations) and Radiological and Ultrasound Technology (156 citations). Tim Kelly has collaborated with scholars based in United Kingdom, Brazil and China. Frequent co-authors include John McDermid, Ibrahim Habli, Richard Hawkins, Patrick Graydon, Radu Călinescu, John Knight, Richard F. Paige, Iain Bate, Rob Alexander and George Despotou. Their work appears in journals such as Lecture notes in computer science, Safety Science, Reliability Engineering & System Safety, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Systems and Software.

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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