Geoffrey Ellis

1.7k total citations
17 papers, 801 citations indexed

About

Geoffrey Ellis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Geoffrey Ellis has authored 17 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Geoffrey Ellis's work include Data Visualization and Analytics (13 papers), Video Analysis and Summarization (5 papers) and Data Analysis with R (4 papers). Geoffrey Ellis is often cited by papers focused on Data Visualization and Analytics (13 papers), Video Analysis and Summarization (5 papers) and Data Analysis with R (4 papers). Geoffrey Ellis collaborates with scholars based in United Kingdom, Germany and Italy. Geoffrey Ellis's co-authors include Alan Dix, Daniel A. Keim, Dominik Sacha, Bum Chul Kwon, Florian Stoffel, Andreas Stoffel, Hansi Senaratne, Enrico Bertini, Martin Smith and Jörn Kohlhammer and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Information Science and The Visual Computer.

In The Last Decade

Geoffrey Ellis

17 papers receiving 755 citations

Peers

Countries citing papers authored by Geoffrey Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Ellis. A scholar is included among the top collaborators of Geoffrey Ellis 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 Geoffrey Ellis. Geoffrey Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Mastering the Information Age Solving Problems with Visual Analytics 2022 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, Florian Mansmann	10
2	Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool 2018 ·The Visual Computer ·(unknown), Dominik Sacha, Florian Stoffel, Geoffrey Ellis, Leishi Zhang, Daniel A. Keim	12
3	Cognitive Biases in Visualizations 2018 ·Geoffrey Ellis	39
4	Applying Visual Interactive Dimensionality Reduction to Criminal Intelligence Analysis 2017 ·Dominik Sacha, (unknown), Leishi Zhang, Florian Stoffel, Geoffrey Ellis, Daniel A. Keim	2
5	Visual Comparative Case Analytics 2017 ·Middlesex University Research Repository (Middlesex University Of London) ·Dominik Sacha, (unknown), Leishi Zhang, Florian Stoffel, Geoffrey Ellis	1
6	A Visual Analytics Approach for Crime Signature Generation and Exploration 2016 ·KOPS (University of Konstanz) ·(unknown), Geoffrey Ellis, Florian Stoffel, Dominik Sacha, Daniel A. Keim	4
7	VAPD : A Visionary System for Uncertainty Aware Decision Making in Crime Analysis 2015 ·KOPS (University of Konstanz) ·Florian Stoffel, Dominik Sacha, Geoffrey Ellis, Daniel A. Keim	1
8	The Role of Uncertainty, Awareness, and Trust in Visual Analytics 2015 ·IEEE Transactions on Visualization and Computer Graphics ·Dominik Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey Ellis, Daniel A. Keim	191
9	Decision Making Under Uncertainty in Visualisation 2015 ·KOPS (University of Konstanz) ·Geoffrey Ellis, Alan Dix	4
10	Knowledge Generation Model for Visual Analytics 2014 ·IEEE Transactions on Visualization and Computer Graphics ·Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey Ellis, Daniel A. Keim	246
11	Enabling Automatic Clutter Reduction in Parallel Coordinate Plots 2006 ·IEEE Transactions on Visualization and Computer Graphics ·Geoffrey Ellis, Alan Dix	80
12	An explorative analysis of user evaluation studies in information visualisation 2006 ·Geoffrey Ellis, Alan Dix	89
13	The plot, the clutter, the sampling and its lens 2006 ·Geoffrey Ellis, Alan Dix	20
14	The sampling lens 2005 ·Geoffrey Ellis, Enrico Bertini, Alan Dix	25
15	Starting simple 1998 ·Alan Dix, Geoffrey Ellis	55
16	HIBROWSE for bibliographic databases 1994 ·Journal of Information Science ·(unknown), Geoffrey Ellis, Martin Smith	20
17	A common query interface for multilingual document retrieval from databases of the European Community Institutions (abstract) 1993 ·(unknown), Geoffrey Ellis, Martin Smith, (unknown), (unknown)	2

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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