John Howse

1.8k citations
74 papers · 707 indexed · h-index 16

John Howse

72 papers receiving 676 citations

Peers

John Howse
Comparison fields: 5 of 72
  • Software 199
  • Computer Vision and Pattern Recognition 359
  • Artificial Intelligence 412
  • Signal Processing 126
  • Computer Networks and Communications 220
Replace Gem Stapleton with:
Gem Stapleton United Kingdom
Andrew Fish United Kingdom
E. Koutsofios United States
Stuart Kent United Kingdom
Jorge A. Baier Chile
K.-P. Vo United States
Colin de la Higuera France
Greg J. Badros United States
Brad Vander Zanden United States
S.-K. Chang United States
John Howse relative to Gem Stapleton United Kingdom Gem Stapleton's profile →
Citations per field
00.5×1.5×2.4×
Gem Stapleton · 1×
Citations per year

Countries citing papers authored by John Howse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with John Howse Line = papers co-authored together John Howse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20173
2 20151
3 201313
4
Does the Orientation of an Euler Diagram Affect User Comprehension
201211
5 201222
6
Visual reasoning about ontologies
20101
7 201032
8 201017
9
A proposed diagrammatic logic for ontology specification and visualization
20091
10
Visualizing and specifying ontologies using diagrammatic logics
20095
11
Diagrammatic Representation and Inference: 5th International Conference, Diagrams 2008, Herrsching, Germany, September 19-21, 2008, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence)
20080
12 20083
13
Enhancing the expressiveness of spider diagram systems
20063
14
A New Language for the Visualization of Logic and reasoning
20053
15
Time-based constraints in the Object Contraint Language OCL
20041
16 20026
17 199922
18 199911
19
Interpreting Syntropy in Larch
19991
20 199923

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 74 papers that have together received 707 indexed citations. Recurring topics across this work include Data Visualization and Analytics (35 papers), Model-Driven Software Engineering Techniques (26 papers), Semantic Web and Ontologies (23 papers), Advanced Database Systems and Queries (20 papers), Advanced Software Engineering Methodologies (13 papers), Data Management and Algorithms (12 papers), Software Engineering Research (9 papers) and Constraint Satisfaction and Optimization (8 papers). The work is most often cited by research in Software (199 citations), Computer Vision and Pattern Recognition (359 citations), Artificial Intelligence (412 citations), Signal Processing (126 citations) and Computer Networks and Communications (220 citations). John Howse has collaborated with scholars based in United Kingdom, Israel and Finland. Frequent co-authors include Gem Stapleton, John Taylor, Stuart Kent, Jean Flower, Peter Rodgers, Andrew Fish, Joseph Gil, J. Gil, Leishi Zhang and Andrew Blake. Their work appears in journals such as Journal of Visual Languages & Computing, IEEE Transactions on Visualization and Computer Graphics, Software & Systems Modeling, Journal of Logic and Computation and Information Sciences.

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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