David B. Grimes

1.3k citations
20 papers · 815 indexed · h-index 12

Impact in

Papers in

David B. Grimes

19 papers receiving 765 citations

Peers

David B. Grimes
Comparison fields: 5 of 77
  • Marketing 230
  • Human-Computer Interaction 80
  • Cognitive Neuroscience 260
  • Organizational Behavior and Human Resource Management 106
  • Computer Vision and Pattern Recognition 157
Replace Andrej Košir with:
Andrej Košir Slovenia
Swati Aggarwal India
George Caridakis Greece
Andrew Perkis Norway
Changqin Quan China
Jun Lee South Korea
Ranjitha Kumar United States
Takuichi Nishimura Japan
David B. Grimes relative to Andrej Košir Slovenia Andrej Košir's profile →
Citations per field
00.5×10×15.1×
Andrej Košir · 1×
Citations per year

Countries citing papers authored by David B. Grimes

Since Specialization
Citations

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

Fields of papers citing papers by David B. Grimes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Grimes. 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 David B. Grimes. The network helps show where David B. Grimes may publish in the future.

Co-authors

The 20 scholars most cited alongside David B. Grimes, 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 David B. Grimes Line = papers co-authored together David B. Grimes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20106
2 2008108
3 2008136
4 20087
5
Learning to walk through imitation
200732
6 200718
7 200655
8 200613
9 20067
10 200617
11 200672
12 200444
13
A Probabilistic Framework for Model-Based Imitation Learning
200411
14
A Model-Based Goal-Directed Bayesian Framework for Imitation Learning in Humans and Machines
20043
15
Probabilistic Bilinear Models for Appearance-Based Vision
20032
16
A Bilinear Model for Sparse Coding
200211
17 2000243
18
The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving
20002
19
improving Centrifugal Cleaner Efficiency Through Temperature Mismatching
19990
20
Churn Reduction in the Wireless Industry
199928

About David B. Grimes

David B. Grimes is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Control and Systems Engineering, Discrete Mathematics and Combinatorics and Marketing, having authored 20 papers that have together received 815 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Human Motion and Animation (5 papers), Robotic Locomotion and Control (5 papers), Robot Manipulation and Learning (3 papers), Gaze Tracking and Assistive Technology (2 papers), Blind Source Separation Techniques (2 papers), Customer churn and segmentation (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Marketing (230 citations), Human-Computer Interaction (80 citations), Cognitive Neuroscience (260 citations), Organizational Behavior and Human Resource Management (106 citations) and Computer Vision and Pattern Recognition (157 citations). David B. Grimes has collaborated with scholars based in United States and Japan. Frequent co-authors include Rajesh P. N. Rao, Michael C. Mozer, Eric Johnson, Richard H. Wolniewicz, Rawichote Chalodhorn, Desney Tan, Javier Echauz, Brian Litt, Pradeep Shenoy and David Snyder. Their work appears in journals such as TAPPI Journal, Neural Computation, Advanced Robotics, Journal of Neural Engineering and Neural Networks.

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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