Tim Dwyer

6.1k citations
123 papers · 3.0k · h-index 33

Impact in

Papers in

Tim Dwyer

117 papers receiving 3.0k citations

Peers

Tim Dwyer
Comparison fields: 5 of 124
  • Human-Computer Interaction 1.0k
  • Computer Vision and Pattern Recognition 2.3k
  • Computer Graphics and Computer-Aided Design 304
  • Statistical and Nonlinear Physics 422
  • Signal Processing 315
Replace Helen C. Purchase with:
Helen C. Purchase United Kingdom
Pierre Dragicevic France
Kim Marriott Australia
Benjamin Bach United Kingdom
Petra Isenberg France
Niklas Elmqvist United States
Michael Sedlmair Germany
Michael Burch Germany
Chris North United States
Melanie Tory Canada
Tim Dwyer relative to Helen C. Purchase United Kingdom Helen C. Purchase's profile →
Citations per field
00.5×4.8×
Helen C. Purchase · 1×
Citations per year

Countries citing papers authored by Tim Dwyer

Since Specialization
Citations

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

Fields of papers citing papers by Tim Dwyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017157
2 2016138
3 2018133
4 2010100
5 202096
6 201986
7 201379
8 201873
9 201569
10 200967
11 201564
12 200663
13 201963
14 201861
15 202060
16 201659
17 200957
18 202056
19 201855
20 202051

About Tim Dwyer

Tim Dwyer is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 123 papers that have together received 3.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (82 papers), Virtual Reality Applications and Impacts (26 papers), Interactive and Immersive Displays (20 papers), Complex Network Analysis Techniques (20 papers), Computer Graphics and Visualization Techniques (14 papers), Data Management and Algorithms (12 papers), Topological and Geometric Data Analysis (11 papers) and Multimedia Communication and Technology (7 papers). The work is most often cited by research in Human-Computer Interaction (1.0k citations), Computer Vision and Pattern Recognition (2.3k citations), Computer Graphics and Computer-Aided Design (304 citations), Statistical and Nonlinear Physics (422 citations) and Signal Processing (315 citations). Tim Dwyer has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Kim Marriott, Maxime Cordeil, Nathalie Henry Riche, Bruce H. Thomas, Karsten Klein, Arnaud Prouzeau, Yehuda Koren, Andrew Cunningham, Bernhard Jenny and Yalong Yang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Visual Informatics, IEEE Computer Graphics and Applications, Proceedings of the ACM on Human-Computer Interaction and Buildings.

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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