John McDermid

5.7k citations
190 papers · 2.7k indexed · h-index 27

Impact in

Papers in

John McDermid

174 papers receiving 2.4k citations

Peers

John McDermid
Comparison fields: 5 of 103
  • Software 1.2k
  • Safety, Risk, Reliability and Quality 709
  • Medical Laboratory Technology 93
  • Statistics, Probability and Uncertainty 431
  • Information Systems 960
Replace Tim Kelly with:
Tim Kelly United Kingdom
Carl E. Landwehr United States
J.-C. Laprie France
Radu Călinescu United Kingdom
Richard F. Paige United Kingdom
Andrea Bondavalli Italy
D. Richard Kuhn United States
W. Eric Wong United States
Tadashi Dohi Japan
Leon J. Osterweil United States
John McDermid relative to Tim Kelly United Kingdom Tim Kelly's profile →
Citations per field
00.5×2.7×
Tim Kelly · 1×
Citations per year

Countries citing papers authored by John McDermid

Since Specialization
Citations

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

Fields of papers citing papers by John McDermid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002136
2 1993131
3 2012111
4 2001110
5 201991
6 200091
7 199486
8 199779
9 199378
10 200166
11 202163
12 201360
13 201355
14 199249
15 199249
16 200246
17 200143
18 201041
19
Software safety: where's the evidence?
200137
20 199234

About John McDermid

John McDermid is a scholar working on Software, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Information Systems, having authored 190 papers that have together received 2.7k indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (73 papers), Software Reliability and Analysis Research (70 papers), Risk and Safety Analysis (48 papers), Software Engineering Research (26 papers), Advanced Software Engineering Methodologies (24 papers), Formal Methods in Verification (19 papers), Software Engineering Techniques and Practices (14 papers) and Occupational Health and Safety Research (13 papers). The work is most often cited by research in Software (1.2k citations), Safety, Risk, Reliability and Quality (709 citations), Medical Laboratory Technology (93 citations), Statistics, Probability and Uncertainty (431 citations) and Information Systems (960 citations). John McDermid has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include John A. Clark, Ibrahim Habli, Tim Kelly, Nigel Tracey, Yiannis Papadopoulos, David Pumfrey, Zoë Porter, Richard F. Paige, W. Lam and Yan Jia. Their work appears in journals such as Reliability Engineering & System Safety, Computer, Requirements Engineering, Journal of Systems and Software and Software Practice and Experience.

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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