Daniel Gaines

68 papers receiving 716 citations

Peers

Daniel Gaines
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 148
  • Computer Vision and Pattern Recognition 245
  • Astronomy and Astrophysics 183
  • Aerospace Engineering 201
  • Artificial Intelligence 232
Replace Andreas Dömel with:
Andreas Dömel Germany
M. Zahidul H. Bhuiyan Finland
Huan Zhou China
Manuel Soler Spain
Kanna Rajan United States
Sarang Thombre Finland
Jinlong Sun China
Qian Meng China
Karl Bilimoria United States
Nitin Sharma India
Daniel Gaines relative to Andreas Dömel Germany Andreas Dömel's profile →
Citations per field
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Andreas Dömel · 1×
Citations per year

Countries citing papers authored by Daniel Gaines

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gaines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 200760
3 200656
4 199752
5 202351
6 200537
7 200435
8 200733
9 199928
10
Continuous planning and execution for an autonomous Mars Rover
200222
11 200621
12 199921
13
Learning and planning for Mars Rover science
200317
14
Productivity challenges for Mars rover operations
201617
15 201516
16 200516
17 200516
18 202015
19
AEGIS automated targeting for MER opportunity rover
201213
20 201812

About Daniel Gaines

Daniel Gaines is a scholar working on Artificial Intelligence, Mechanical Engineering, Astronomy and Astrophysics, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 74 papers that have together received 790 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (17 papers), Planetary Science and Exploration (17 papers), Modular Robots and Swarm Intelligence (16 papers), AI-based Problem Solving and Planning (15 papers), Astro and Planetary Science (14 papers), Distributed systems and fault tolerance (12 papers), Robotic Path Planning Algorithms (8 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (148 citations), Computer Vision and Pattern Recognition (245 citations), Astronomy and Astrophysics (183 citations), Aerospace Engineering (201 citations) and Artificial Intelligence (232 citations). Daniel Gaines has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Tara Estlin, Robert C. Anderson, M. Judd, Rebecca Castaño, William C. Regli, Benjamin Bornstein, Caroline C. Hayes, Forest Fisher, Issa Nesnas and David R. Thompson. Their work appears in journals such as Journal of Field Robotics, Computer-Aided Design, Artificial intelligence for engineering design analysis and manufacturing, Planetary and Space Science and Robotics and Autonomous Systems.

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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