Greg Smith

30 papers receiving 1.6k citations

Peers

Greg Smith
Comparison fields: 5 of 53
  • Human-Computer Interaction 280
  • Computer Vision and Pattern Recognition 382
  • Information Systems and Management 88
  • Information Systems 231
  • Computer Science Applications 42
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Steven Houben United Kingdom
Clemens Nylandsted Klokmose Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Greg Smith

Since Specialization
Citations

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

Fields of papers citing papers by Greg Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Greg Smith, 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 Greg Smith Line = papers co-authored together Greg Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007224
2
Toward Characterizing the Productivity Benefits of Very Large Displays
2003174
3 2013162
4 2004106
5 200992
6 200685
7 200683
8
GroupBar: The TaskBar Evolved
200380
9 200675
10 200471
11 200958
12 200851
13 201246
14 200945
15 200943
16 200240
17 200939
18 200838
19 201536
20 200224

About Greg Smith

Greg Smith is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems and Management, Computer Science Applications and Information Systems, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Interactive and Immersive Displays (5 papers), Personal Information Management and User Behavior (3 papers), Usability and User Interface Design (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Software System Performance and Reliability (1 paper), ICT in Developing Communities (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Human-Computer Interaction (280 citations), Computer Vision and Pattern Recognition (382 citations), Information Systems and Management (88 citations), Information Systems (231 citations) and Computer Science Applications (42 citations). Greg Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include George G. Robertson, Mary P. Czerwinski, Bongshin Lee, Brian R. Meyers, Desney S. Tan, Jacob T. Biehl, Rubaiat Habib Kazi, DANIEL W. ROBBINS, Meredith M. Skeels and Tim W. Regan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, Nature Medicine, ACM Transactions on Computer-Human Interaction and IEEE Computer Graphics and Applications.

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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