Jonathan Sillito

2.0k citations
36 papers · 1.3k · h-index 16

Impact in

Papers in

Jonathan Sillito

33 papers receiving 1.2k citations

Peers

Jonathan Sillito
Comparison fields: 5 of 56
  • Software 320
  • Computer Science Applications 402
  • Information Systems 1.1k
  • Human-Computer Interaction 117
  • Information Systems and Management 92
Replace Thomas D. LaToza with:
Thomas D. LaToza United States
Andrew J. Ko United States
Andrea Mocci Switzerland
Huzefa Kagdi United States
M.-A. Storey Canada
Jeffrey Stylos United States
Joseph Lawrance United States
Mircea Lungu Switzerland
Collin McMillan United States
A. von Mayrhauser United States
Jonathan Sillito relative to Thomas D. LaToza United States Thomas D. LaToza's profile →
Citations per field
00.5×1.5×
Thomas D. LaToza · 1×
Citations per year

Countries citing papers authored by Jonathan Sillito

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sillito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008223
2 2012194
3 2006185
4 2010149
5 200881
6 200960
7 200958
8 200939
9 201138
10 200937
11 200534
12 201128
13 201125
14 201325
15 201220
16 201020
17 201014
18 201213
19 200912
20 200911

About Jonathan Sillito

Jonathan Sillito is a scholar working on Information Systems, Computer Science Applications, Software, Computer Networks and Communications and Artificial Intelligence, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (26 papers), Software Engineering Techniques and Practices (20 papers), Open Source Software Innovations (13 papers), Software Reliability and Analysis Research (8 papers), Software Testing and Debugging Techniques (5 papers), Usability and User Interface Design (3 papers), Advanced Software Engineering Methodologies (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Software (320 citations), Computer Science Applications (402 citations), Information Systems (1.1k citations), Human-Computer Interaction (117 citations) and Information Systems and Management (92 citations). Jonathan Sillito has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kris De Volder, Gail C. Murphy, Frank Maurer, Thomas Zimmermann, Rahul Premraj, Silvia Breu, Chris Burns, David J. Fox, Shaun Phillips and Vahid Garousi. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, International Journal of Software Engineering and Knowledge Engineering, University of Alberta Library and 2013 35th International Conference on Software Engineering (ICSE).

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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