Mark Moors

2.6k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Mark Moors is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Mark Moors has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Mark Moors's work include Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (6 papers) and Distributed Control Multi-Agent Systems (4 papers). Mark Moors is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (6 papers) and Distributed Control Multi-Agent Systems (4 papers). Mark Moors collaborates with scholars based in Germany, Greece and India. Mark Moors's co-authors include Wolfram Burgard, Frank Schneider, Cyrill Stachniss, Reid Simmons, Sebastian Thrun, D. Fox, Dieter Fox, David Apfelbaum, Håkan L. S. Younes and Dirk Schulz and has published in prestigious journals such as IEEE Transactions on Robotics, Autonomous Robots and DSpace - NTUA (National Technical University of Athens).

In The Last Decade

Mark Moors

13 papers receiving 1.6k citations

Hit Papers

Coordinated multi-robot exploration 2002 2026 2010 2018 2005 2002 250 500 750

Peers

Mark Moors
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Networks and Communications 953
  • Aerospace Engineering 813
  • Mechanical Engineering 458
  • Artificial Intelligence 281
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Citations per field, relative to Mark Moors
Mark Moors · 1×
Citations per year, relative to Mark Moors
Mark Moors · 1×

Countries citing papers authored by Mark Moors

Since Specialization
Citations

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

Fields of papers citing papers by Mark Moors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Moors

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Moors. A scholar is included among the top collaborators of Mark Moors based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Moors. Mark Moors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 33
2 4
3
Coordinated multi-robot exploration breakdown →
769
4 33
5 2
6
Relative position estimation in a group of robots
2
7 12
8
Interactive Tele-Presence in Exhibitions through Web-operated Robots
1
9
Collaborative Exploration of Unknown Environments with Teams of Mobile Robots
9
10
Collaborative multi-robot exploration breakdown →
500
11 1
12 11
13
Coordination for Multi-Robot Exploration and Mapping
336

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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