M. Judd

545 citations
24 papers · 422 · h-index 13

Impact in

Papers in

M. Judd

24 papers receiving 383 citations

Peers

M. Judd
Comparison fields: 5 of 61
  • Astronomy and Astrophysics 137
  • Computer Vision and Pattern Recognition 163
  • Aerospace Engineering 133
  • Artificial Intelligence 146
  • Computer Networks and Communications 66
Replace Benjamin Cichy with:
Benjamin Cichy United States
Dave Barnes United Kingdom
Mark A. Ruzon United States
Ethan Kruse United States
Fang‐Cheng Chan United States
Lamartine Nogueira Frutuoso Guimarães Brazil
Aubrey Dunne Ireland
Giuseppe Fiameni Italy
Léonie Buckley United States
Stefano Silvestrini Italy
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Citations per field
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Citations per year

Countries citing papers authored by M. Judd

Since Specialization
Citations

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

Fields of papers citing papers by M. Judd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M. Judd, 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 M. Judd Line = papers co-authored together M. Judd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201277
2 200764
3 200541
4 200435
5 200734
6 200725
7 200621
8 200518
9
Learning and planning for Mars Rover science
200318
10
Intensity-based Rock Detection for Acquiring Onboard Rover Science
200414
11
Machine learning challenges in Mars rover traverse science
200314
12
AEGIS automated targeting for MER opportunity rover
201213
13 200912
14 200511
15
Supporting Increased Autonomy for a Mars Rover
20087
16
Techniques for Onboard Prioritization of Science Data for Transmission
20033
17
Automated Target Selection for Opportunistic Rover Science
20063
18 20093
19
Opportunistic Planning and Execution for Planetary Exploration
20062
20
Maximizing Rover Science Return Through Autonomous Onboard Data Analysis
20032

About M. Judd

M. Judd is a scholar working on Astronomy and Astrophysics, Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Planetary Science and Exploration (8 papers), Modular Robots and Swarm Intelligence (7 papers), Astro and Planetary Science (6 papers), Robotics and Sensor-Based Localization (6 papers), Distributed systems and fault tolerance (5 papers), Robotic Path Planning Algorithms (4 papers), AI-based Problem Solving and Planning (4 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Astronomy and Astrophysics (137 citations), Computer Vision and Pattern Recognition (163 citations), Aerospace Engineering (133 citations), Artificial Intelligence (146 citations) and Computer Networks and Communications (66 citations). M. Judd has collaborated with scholars based in United States. Frequent co-authors include Tara Estlin, Robert C. Anderson, Rebecca Castaño, Daniel Gaines, Benjamin Bornstein, David R. Thompson, Michael C. Burl, Andrés Castaño, Forest Fisher and B. Bornstein. Their work appears in journals such as Journal of Field Robotics, ACM Transactions on Intelligent Systems and Technology, International Conference on Automated Planning and Scheduling, 37th Annual Lunar and Planetary Science Conference and Lunar and Planetary Science Conference.

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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