Daniel Hennes

1.6k citations
44 papers · 681 · h-index 14

Impact in

Papers in

Daniel Hennes

40 papers receiving 651 citations

Peers

Daniel Hennes
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 181
  • Aerospace Engineering 209
  • Management Science and Operations Research 94
  • Safety Research 49
  • Artificial Intelligence 187
Replace Benjamin Stewart with:
Benjamin Stewart United States
Subramanian Ramamoorthy United Kingdom
Jeffrey S. Norris United States
Guy Lever United Kingdom
Eiichi Osawa Japan
Wenquan Feng China
Matthias R. Brust Luxembourg
John R. Wright United States
Gregg H. Gunsch United States
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Citations per field
00.5×9.8×
Benjamin Stewart · 1×
Citations per year

Countries citing papers authored by Daniel Hennes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hennes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015179
2 201269
3 201251
4 201534
5 201530
6 201119
7 201518
8 201618
9 201117
10 201917
11 201317
12 201616
13 201716
14 201915
15 201412
16 201612
17 201812
18 201812
19 200911
20
Interplanetary trajectory planning with Monte Carlo tree search
201511

About Daniel Hennes

Daniel Hennes is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 44 papers that have together received 681 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Reinforcement Learning in Robotics (9 papers), Game Theory and Applications (9 papers), Robotic Path Planning Algorithms (8 papers), Modular Robots and Swarm Intelligence (4 papers), Complex Systems and Time Series Analysis (4 papers), Optimization and Search Problems (3 papers) and Spacecraft Dynamics and Control (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Aerospace Engineering (209 citations), Management Science and Operations Research (94 citations), Safety Research (49 citations) and Artificial Intelligence (187 citations). Daniel Hennes has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Karl Tuyls, Daan Bloembergen, Michael Kaisers, Dario Izzo, Daniel Claes, Wim Meeussen, Marc Toussaint, A. Visser, Matthias Rauterberg and Danny Driess. Their work appears in journals such as Journal of Artificial Intelligence Research, Acta Astronautica, Scientific Reports, Journal of Guidance Control and Dynamics and IEEE Robotics and Automation Letters.

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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