Greg Smith

2.3k citations
43 papers · 1.8k · h-index 22

Impact in

Papers in

Greg Smith

40 papers receiving 1.7k citations

Peers

Greg Smith
Comparison fields: 5 of 122
  • Human-Computer Interaction 732
  • Information Systems and Management 426
  • Computer Vision and Pattern Recognition 736
  • Computer Science Applications 169
  • Information Systems 387
Replace Bo Begole with:
Bo Begole United States
Jo Vermeulen Belgium
Víctor M. González Mexico
Shin’ichi Konomi Japan
Amy Karlson United States
Justin Matejka Canada
Elin Rønby Pedersen United States
Lyn Bartram Canada
Daniel Avrahami United States
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Citations per field
00.5×3.2×
Bo Begole · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007222
2
Toward Characterizing the Productivity Benefits of Very Large Displays
2003182
3 2013150
4 2004107
5 200996
6 200690
7 200987
8 200686
9
GroupBar: The TaskBar Evolved
200378
10 200674
11 200469
12 200956
13 200852
14 201245
15 200945
16 200943
17 200242
18 200941
19 201536
20 200835

About Greg Smith

Greg Smith is a scholar working on Human-Computer Interaction, Information Systems and Management, Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (14 papers), Data Visualization and Analytics (11 papers), Interactive and Immersive Displays (10 papers), Usability and User Interface Design (7 papers), Innovative Human-Technology Interaction (5 papers), Impact of Technology on Adolescents (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (732 citations), Information Systems and Management (426 citations), Computer Vision and Pattern Recognition (736 citations), Computer Science Applications (169 citations) and Information Systems (387 citations). Greg Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mary Czerwinski, George G. Robertson, Brian Meyers, Bongshin Lee, George Robertson, Desney Tan, Jacob T. Biehl, Daniel Robbins, Rubaiat Habib Kazi and Geraldine Fitzpatrick. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, IEEE Pervasive Computing, Information Visualization 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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