Daniel Rakita

695 citations
23 papers · 502 · h-index 12

Impact in

Papers in

Daniel Rakita

23 papers receiving 497 citations

Peers

Daniel Rakita
Comparison fields: 5 of 49
  • Human-Computer Interaction 134
  • Control and Systems Engineering 308
  • Computer Vision and Pattern Recognition 211
  • Mechanical Engineering 169
  • Social Psychology 90
Replace Takafumi Matsumaru with:
Takafumi Matsumaru Japan
Hooman Hedayati United States
Wesley P. Chan Canada
Adam Leeper United States
Siddarth Jain United States
Eric Rosen United States
David Gossow Germany
Jim Mainprice United States
Mark Micire United States
Mohammad Safeea Portugal
Daniel Rakita relative to Takafumi Matsumaru Japan Takafumi Matsumaru's profile →
Citations per field
00.5×4.8×
Takafumi Matsumaru · 1×
Citations per year

Countries citing papers authored by Daniel Rakita

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rakita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daniel Rakita, 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 Rakita Line = papers co-authored together Daniel Rakita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 201875
3 201766
4 201853
5 202137
6 201730
7 201923
8 201919
9 201818
10 201614
11 201612
12 202011
13 202011
14 20199
15 20208
16 20218
17 20188
18 20237
19 20177
20 20236

About Daniel Rakita

Daniel Rakita is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Cognitive Neuroscience and Social Psychology, having authored 23 papers that have together received 502 indexed citations. Recurring topics across this work include Human Motion and Animation (10 papers), Robot Manipulation and Learning (8 papers), Teleoperation and Haptic Systems (8 papers), Robotic Path Planning Algorithms (7 papers), Robotic Mechanisms and Dynamics (5 papers), Tactile and Sensory Interactions (5 papers), Human Pose and Action Recognition (4 papers) and Social Robot Interaction and HRI (3 papers). The work is most often cited by research in Human-Computer Interaction (134 citations), Control and Systems Engineering (308 citations), Computer Vision and Pattern Recognition (211 citations), Mechanical Engineering (169 citations) and Social Psychology (90 citations). Daniel Rakita has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael Gleicher, Bilge Mutlu, Laura M. Hiatt, Marc Toussaint, Carlos Quintero, Zachary Kingston, Andreas Orthey, Lydia E. Kavraki, Tomislav Pejša and Aaron M. Dollar. Their work appears in journals such as IEEE Robotics and Automation Letters, ACM Transactions on Graphics, The International Journal of Robotics Research, Autonomous Robots and Science Robotics.

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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