John Howse
Impact in
- Software top 2%
- Model-Driven Software Engineering Techniques
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- Data Visualization and Analytics
Papers in
- Software 38
- Model-Driven Software Engineering Techniques 36
-
- Data Visualization and Analytics 54
- Co-authors
- Gem Stapleton (57 shared papers)John Patrick Taylor (19 shared papers)Jean Flower (12 shared papers)Stuart Kent (19 shared papers)Peter J. Rodgers (19 shared papers)Andrew Fish (8 shared papers)J. Gil (3 shared papers)Joseph Yossi Gil (4 shared papers)
- Journals
- Journal of Visual Languages & Computing (8 papers)Lecture notes in computer science (33 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)Software & Systems Modeling (2 papers)Journal of Logic and Computation (2 papers)
- Partner nations
- United KingdomIsraelFinland
In The Last Decade
John Howse
105 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Software 355
- Computer Vision and Pattern Recognition 702
- Artificial Intelligence 782
- Signal Processing 255
- Computer Networks and Communications 468
Countries citing papers authored by John Howse
This map shows the geographic impact of John Howse'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 Howse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Howse more than expected).
Fields of papers citing papers by John Howse
This network shows the impact of papers produced by John Howse. 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 Howse. The network helps show where John Howse may publish in the future.
Co-authors
The 25 scholars most cited alongside John Howse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 96 | |
| 2 | 2005 | 71 | |
| 3 | 2001 | 68 | |
| 4 | 2005 | 62 | |
| 5 | 1999 | 53 | |
| 6 | 2008 | 44 | |
| 7 | 2011 | 41 | |
| 8 | 2010 | 41 | |
| 9 | 2002 | 39 | |
| 10 | 1999 | 33 | |
| 11 | 2002 | 30 | |
| 12 | 1999 | 30 | |
| 13 | 2005 | 30 | |
| 14 | 2005 | 29 | |
| 15 | 2012 | 27 | |
| 16 | 2006 | 26 | |
| 17 | 1999 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2004 | 23 | |
| 20 | A constraint diagram reasoning system | 2003 | 23 |
About John Howse
John Howse is a scholar working on Software, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Visualization and Analytics (54 papers), Model-Driven Software Engineering Techniques (36 papers), Semantic Web and Ontologies (29 papers), Advanced Database Systems and Queries (28 papers), Advanced Software Engineering Methodologies (19 papers), Data Management and Algorithms (18 papers), Constraint Satisfaction and Optimization (14 papers) and Software Engineering Research (12 papers). The work is most often cited by research in Software (355 citations), Computer Vision and Pattern Recognition (702 citations), Artificial Intelligence (782 citations), Signal Processing (255 citations) and Computer Networks and Communications (468 citations). John Howse has collaborated with scholars based in United Kingdom, Israel and Finland. Frequent co-authors include Gem Stapleton, John Patrick Taylor, Jean Flower, Stuart Kent, Peter J. Rodgers, Andrew Fish, J. Gil, Joseph Yossi Gil, Ali Hamié and Peter Chapman. Their work appears in journals such as Journal of Visual Languages & Computing, Lecture notes in computer science, IEEE Transactions on Visualization and Computer Graphics, Software & Systems Modeling and Journal of Logic and Computation.
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.