James M. Welsh

29 papers receiving 284 citations

Peers

James M. Welsh
Comparison fields: 5 of 74
  • Hardware and Architecture 101
  • Software 55
  • Computer Science Applications 43
  • Artificial Intelligence 171
  • Computational Theory and Mathematics 83
Replace Dimitris Vardoulakis with:
Dimitris Vardoulakis Australia
A. Pombortsis Greece
Torsten Meyer Germany
Daniel Gil Spain
Tony Mason United Kingdom
Arindam Chakrabarti United States
Bruria Haberman Israel
Barry L. Kurtz United States
Steve Heller United States
A. T. Chamillard United States
James M. Welsh relative to Dimitris Vardoulakis Australia Dimitris Vardoulakis's profile →
Citations per field
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Dimitris Vardoulakis · 1×
Citations per year

Countries citing papers authored by James M. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by James M. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Welsh. 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 James M. Welsh. The network helps show where James M. Welsh may publish in the future.

Co-authors

The 19 scholars most cited alongside James M. Welsh, 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 James M. Welsh Line = papers co-authored together James M. Welsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197791
2 197960
3 197227
4 198123
5
The Adaptation of History: Essays on Ways of Telling the Past
201219
6 199817
7 197817
8 200717
9
The literature/film reader : issues of adaptation
200713
10 199613
11
Novels into film : the encyclopedia of movies adapted from books
199912
12
A model implementation of standard Pascal
198612
13 198011
14 197910
15 20049
16
UQ2: A Multilingual Document Editor
19906
17 20165
18 20024
19 20102
20 20022

About James M. Welsh

James M. Welsh is a scholar working on Artificial Intelligence, Literature and Literary Theory, Sociology and Political Science, Software and Information Systems, having authored 40 papers that have together received 392 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Model-Driven Software Engineering Techniques (6 papers), Shakespeare, Adaptation, and Literary Criticism (6 papers), Software Engineering Research (5 papers), Parallel Computing and Optimization Techniques (3 papers), Software Testing and Debugging Techniques (3 papers), Formal Methods in Verification (3 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (101 citations), Software (55 citations), Computer Science Applications (43 citations), Artificial Intelligence (171 citations) and Computational Theory and Mathematics (83 citations). James M. Welsh has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include C. A. R. Hoare, David Bustard, Charles M. Quinn, Gordon A. Rose, Laurence Raw, David Carrington, Ian J. Hayes, Geoffrey Watson, G. M. McNally and Bradley M. Broom. Their work appears in journals such as Software Practice and Experience, Literature and medicine, Literature film quarterly, Formal Aspects of Computing and Historical Journal Of Film Radio and Television.

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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