David Apfelbaum

1.0k citations
5 papers · 675 indexed · h-index 5

Impact in

Papers in

Journals
International Journal of Advanced Robotic Systems (1 paper)Figshare (1 paper)National Conference on Artificial Intelligence (1 paper)
Partner nations
United States

In The Last Decade

David Apfelbaum

5 papers receiving 599 citations

Peers

David Apfelbaum
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 322
  • Computer Networks and Communications 285
  • Aerospace Engineering 205
  • Software 29
  • Artificial Intelligence 238
Replace Yiannis Kantaros with:
Yiannis Kantaros United States
Michael Otte United States
Xu Chu Ding United States
James Kurien United States
Luca F. Bertuccelli United States
Jonas Kvarnström Sweden
Marcel Schoppers United States
Meng Guo Sweden
Alex Brooks Australia
Jaime F. Fisac United States
David Apfelbaum relative to Yiannis Kantaros United States Yiannis Kantaros's profile →
Citations per field
00.5×1.5×
Yiannis Kantaros · 1×
Citations per year

Countries citing papers authored by David Apfelbaum

Since Specialization
Citations

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

Fields of papers citing papers by David Apfelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside David Apfelbaum, 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 Apfelbaum Line = papers co-authored together David Apfelbaum links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About David Apfelbaum

David Apfelbaum is a scholar working on Software, Hardware and Architecture, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 5 papers that have together received 675 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (3 papers), Modular Robots and Swarm Intelligence (1 paper), Distributed systems and fault tolerance (1 paper), Model-Driven Software Engineering Techniques (1 paper), Optimization and Search Problems (1 paper), Real-Time Systems Scheduling (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (322 citations), Computer Networks and Communications (285 citations), Aerospace Engineering (205 citations), Software (29 citations) and Artificial Intelligence (238 citations). David Apfelbaum has collaborated with scholars based in United States. Frequent co-authors include Reid Simmons, Sebastian Thrun, Dieter Fox, Wolfram Burgard, Håkan L. S. Younes, Mark Moors, Karen Zita Haigh, Robert P. Goldman, D. Fox and Drew Bagnell. Their work appears in journals such as International Journal of Advanced Robotic Systems, Figshare and National Conference on Artificial Intelligence.

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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