David Shepherd

3.2k citations
134 papers · 2.1k indexed · h-index 27
Topics
Software Engineering Research (40 papers)Software Engineering Techniques and Practices (23 papers)Teaching and Learning Programming (19 papers)

In The Last Decade

David Shepherd

121 papers receiving 2.0k citations

Peers

David Shepherd
Comparison fields: 5 of 162
  • Information Systems 896
  • Artificial Intelligence 425
  • Software 336
  • Computer Science Applications 296
  • Computer Networks and Communications 261
Replace Craig Larman with:
Craig Larman United States
Πάνος Λουρίδας Greece
Martin Schader Germany
Frederick W. B. Li United Kingdom
Robert M. Bell United States
Tommi Mikkonen Finland
Edward Yourdon United States
Damian A. Tamburri Netherlands
Brooks United Kingdom
Douglas Fisher United States
David Shepherd relative to Craig Larman United States Craig Larman's profile →
Citations per field
00.5×
Craig Larman · 1×
Citations per year

Countries citing papers authored by David Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by David Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shepherd

This figure shows the co-authorship network connecting the top 25 collaborators of David Shepherd. A scholar is included among the top collaborators of David Shepherd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Shepherd. David Shepherd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 2
6 0
7 5
8 14
9 15
10 11
11 61
12 4
13 5
14 17
15
Design and Evaluation of an Automated Aspect Mining Tool
43
16
Inflation and Capacity Constraints in Australian Manufacturing Industry
0
17 9
18 166
19 12
20 7

About David Shepherd

David Shepherd is a scholar working on Computer Science Applications, Software and Information Systems, having authored 134 papers that have together received 2.1k indexed citations. Recurring topics across this work include Software Engineering Research (40 papers), Software Engineering Techniques and Practices (23 papers) and Teaching and Learning Programming (19 papers). The work is most often cited by research in Software (336 citations), Computer Science Applications (296 citations) and Information Systems (896 citations). David Shepherd has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lori Pollock, K. Vijay‐Shanker, Thomas Fritz, Emily Hill, Robert Dixon, Zachary P. Fry, Norbert F. Voelkel, Kostadin Damevski, Rubin M. Tuder and Patrick Francis. Their work appears in journals such as Journal of Clinical Investigation, Clinical Infectious Diseases and CHEST 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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