Adam Jacoff

1.7k citations
61 papers · 1.4k · h-index 19

Impact in

Papers in

Adam Jacoff

60 papers receiving 1.3k citations

Peers

Adam Jacoff
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 535
  • Control and Systems Engineering 480
  • Aerospace Engineering 451
  • Mechanical Engineering 354
  • Human-Computer Interaction 53
Replace Tully Foote with:
Tully Foote United States
Elena R. Messina United States
Erwin Prassler Germany
Paulo Costa Portugal
Stefan Kohlbrecher Germany
Lucia Pallottino Italy
Joydeep Biswas United States
Carlos Sampedro Spain
David Portugal Portugal
Steve Macenski United States
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Citations per field
00.5×1.5×
Tully Foote · 1×
Citations per year

Countries citing papers authored by Adam Jacoff

Since Specialization
Citations

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

Fields of papers citing papers by Adam Jacoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008271
2 2004124
3
A Standard Test Course for Urban Search and Rescue Robots
200077
4 200666
5
Applications of the NIST ROBOCRANE.
199459
6 200659
7
Experiences in Deploying Test Arenas for Autonomous Mobile Robots
200153
8 200644
9 200239
10 201338
11
Evolution of a Performance Metric for Urban Search and Rescue Robots (2003)
200337
12 200837
13 200434
14
Cable-Based Reconfigurable Machines for Large Scale Manufacturing
200032
15
RoboCrane Project:: An Advanced Concept for Large Scale Manufacturing
199628
16 201322
17 200121
18 199918
19 200418
20 201218

About Adam Jacoff

Adam Jacoff is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering and Biomedical Engineering, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Robotics and Sensor-Based Localization (23 papers), Modular Robots and Swarm Intelligence (22 papers), Robotics and Automated Systems (14 papers), Robotic Locomotion and Control (9 papers), Robotic Mechanisms and Dynamics (7 papers), Robot Manipulation and Learning (7 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Control and Systems Engineering (480 citations), Aerospace Engineering (451 citations), Mechanical Engineering (354 citations) and Human-Computer Interaction (53 citations). Adam Jacoff has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Elena R. Messina, John Evans, Satoshı Tadokoro, Aydan M. Erkmen, Daniele Nardi, Howie Choset, Paolo Fiorini, Robin R. Murphy, Brian A. Weiss and Roger Bostelman. Their work appears in journals such as AI Magazine, IEEE Robotics & Automation Magazine, Journal of Field Robotics, Journal of Intelligent & Robotic Systems and Advanced 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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