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).
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 of co-authors of John Howse
This figure shows the co-authorship network connecting the top 25 collaborators of John Howse.
A scholar is included among the top collaborators of John Howse 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 John Howse. John Howse is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Blake, Andrew, Gem Stapleton, Peter Rodgers, Liz Cheek, & John Howse. (2012). Does the Orientation of an Euler Diagram Affect User Comprehension. University of Brighton Repository (University of Brighton). 185–190.11 indexed citations
Howse, John, Gem Stapleton, & Ian Oliver. (2010). Visual reasoning about ontologies. University of Brighton Repository (University of Brighton). 0–0.1 indexed citations
7.
Stapleton, Gem, Peter Rodgers, John Howse, & Leishi Zhang. (2010). Inductively Generating Euler Diagrams. IEEE Transactions on Visualization and Computer Graphics. 17(1). 88–100.32 indexed citations
Oliver, Ian, et al.. (2009). A proposed diagrammatic logic for ontology specification and visualization. International Semantic Web Conference.1 indexed citations
10.
Oliver, Ian, John Howse, Gem Stapleton, Esko Nuutila, & Seppo Törmä. (2009). Visualizing and specifying ontologies using diagrammatic logics. 37–46.5 indexed citations
11.
Stapleton, Gem, John Howse, & John Lee. (2008). Diagrammatic Representation and Inference: 5th International Conference, Diagrams 2008, Herrsching, Germany, September 19-21, 2008, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence). Springer eBooks.
Stapleton, Gem & John Howse. (2006). Enhancing the expressiveness of spider diagram systems. University of Brighton Repository (University of Brighton). 129–138.3 indexed citations
14.
Stapleton, Gem, Simon Thompson, Andrew Fish, John Howse, & John Taylor. (2005). A New Language for the Visualization of Logic and reasoning. Kent Academic Repository (University of Kent). 287–292.3 indexed citations
15.
Hamié, Ali, John Howse, & Richard Mitchell. (2004). Time-based constraints in the Object Contraint Language OCL. University of Brighton Repository (University of Brighton). 0–0.1 indexed citations
16.
Gil, J., John Howse, Stuart Kent, & John Taylor. (2002). Projections in Venn-Euler diagrams. Kent Academic Repository (University of Kent). 119–126.6 indexed citations
17.
Gil, Joseph, John Howse, & Stuart Kent. (1999). Constraint Diagrams: A Step Beyond UML. Kent Academic Repository (University of Kent).22 indexed citations
Hamié, Ali & John Howse. (1999). Interpreting Syntropy in Larch.1 indexed citations
20.
Howse, John, et al.. (1999). Reasoning with spider diagrams. Kent Academic Repository (University of Kent). 138–145.23 indexed citations
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.