Daniel Weiskopf

12.2k citations
392 papers · 8.1k · h-index 44

Impact in

Papers in

Daniel Weiskopf

372 papers receiving 7.7k citations

Peers

Daniel Weiskopf
Comparison fields: 5 of 168
  • Computer Graphics and Computer-Aided Design 2.1k
  • Computer Vision and Pattern Recognition 5.4k
  • Human-Computer Interaction 1.1k
  • Signal Processing 972
  • Statistical and Nonlinear Physics 704
Replace Thomas Ertl with:
Thomas Ertl Germany
Kwan‐Liu Ma United States
Jarke J. van Wijk Netherlands
Helwig Hauser Norway
Hanspeter Pfister United States
Maneesh Agrawala United States
Ramesh Jain United States
David Luebke United States
Colin Ware United States
Pat Hanrahan United States
Daniel Weiskopf relative to Thomas Ertl Germany Thomas Ertl's profile →
Citations per field
00.5×3.2×
Thomas Ertl · 1×
Citations per year

Countries citing papers authored by Daniel Weiskopf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Weiskopf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 392 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006384
2 2004250
3 2016214
4 2001206
5 2017187
6 2016164
7 2012147
8 2014145
9 2012141
10 2003136
11 2014135
12 2004125
13 2011123
14 2015117
15 2008112
16 2003107
17 2002106
18 2017106
19 201199
20 200394

About Daniel Weiskopf

Daniel Weiskopf is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Human-Computer Interaction, having authored 392 papers that have together received 8.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (196 papers), Computer Graphics and Visualization Techniques (122 papers), Advanced Vision and Imaging (64 papers), 3D Shape Modeling and Analysis (48 papers), Gaze Tracking and Assistive Technology (47 papers), Data Management and Algorithms (37 papers), Video Analysis and Summarization (32 papers) and Advanced Text Analysis Techniques (21 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.1k citations), Computer Vision and Pattern Recognition (5.4k citations), Human-Computer Interaction (1.1k citations), Signal Processing (972 citations) and Statistical and Nonlinear Physics (704 citations). Daniel Weiskopf has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Michael Burch, Thomas Ertl, Fabian Beck, Kuno Kurzhals, Klaus Engel, Stephan Diehl, Julian Heinrich, Corinna Vehlow, James W. Tanaka and Joe Kniss. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computing in Science & Engineering, IEEE Computer Graphics and Applications and The Visual Computer.

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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