Brian Guenter

2.8k citations
30 papers · 1.5k indexed · h-index 15

Brian Guenter

29 papers receiving 1.3k citations

Peers

Brian Guenter
Comparison fields: 5 of 96
  • Computer Graphics and Computer-Aided Design 253
  • Computer Vision and Pattern Recognition 983
  • Human-Computer Interaction 178
  • Control and Systems Engineering 388
  • Media Technology 128
Replace George Baciu with:
George Baciu Hong Kong
Naveed Ahmed United Arab Emirates
Adam Lake United States
Danhang Tang United States
Jianming Zhang China
Sudhir P. Mudur Canada
Sotiris Malassiotis Greece
Paul Asente United States
Sergey Tulyakov United States
G. Scott Owen United States
Brian Guenter relative to George Baciu Hong Kong George Baciu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Guenter

Since Specialization
Citations

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

Fields of papers citing papers by Brian Guenter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201722
3 201544
4
An introduction to computational networks and the computational network toolkit (invited talk).
20143
5
Stochastic Gradient Descent Algorithm in the Computational Network Toolkit
20134
6 20102
7 20103
8
Symbolic Lagrangian Multibody Dynamics
20091
9 20091
10
The D* Symbolic Differentiation Algorithm
20071
11 20070
12 2006132
13 200123
14 19979
15 19974
16 1996230
17 199545
18
Motion Compensated Noise Reduction
19943
19 199320
20 199056

About Brian Guenter

Brian Guenter is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (8 papers), Human Motion and Animation (4 papers), Gaze Tracking and Assistive Technology (3 papers), Teaching and Learning Programming (3 papers), Artificial Intelligence in Games (3 papers), Parallel Computing and Optimization Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (253 citations), Computer Vision and Pattern Recognition (983 citations) and Human-Computer Interaction (178 citations). Brian Guenter has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include H.S. Malvar, Cindy Grimm, Navendu Jain, Charles F. Rose, Michael F. Cohen, Bobby Bodenheimer, Jack Tumblin, Mark Finch, Steven M. Drucker and Desney Tan. Their work appears in journals such as ACM Transactions on Graphics, Displays, Health & Place, IEEE Computer Graphics and Applications and Neural Information Processing Systems.

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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