Michael D. Wagner
Impact in
- Software top 10%
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
Papers in
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- Robotic Path Planning Algorithms 4
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- Planetary Science and Exploration 2
- Astro and Planetary Science 2
- Co-authors
- Brian C. WilliamsBarney PellDouglas E. BernardP. Pandurang NayakNicola MuscettolaErann GatSteve ChienWilliam Whittaker
- Journals
- Autonomous Robots (2 papers)The International Journal of Robotics Research (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)DSpace - NTUA (National Technical University of Athens) (1 paper)Figshare (2 papers)
- Partner nations
- United States
In The Last Decade
Michael D. Wagner
9 papers receiving 287 citations
Peers
Comparison fields: 5 of 52
- Software 21
- Artificial Intelligence 158
- Computer Vision and Pattern Recognition 95
- Computer Networks and Communications 97
- Human-Computer Interaction 23
Countries citing papers authored by Michael D. Wagner
This map shows the geographic impact of Michael D. Wagner'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 Michael D. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Wagner more than expected).
Fields of papers citing papers by Michael D. Wagner
This network shows the impact of papers produced by Michael D. Wagner. 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 Michael D. Wagner. The network helps show where Michael D. Wagner may publish in the future.
Co-authors
The 22 scholars most cited alongside Michael D. Wagner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | 2018 | 0 | |
| 3 | 2018 | 2 | |
| 4 | 2011 | 7 | |
| 5 | 2002 | 31 | |
| 6 | 2001 | 73 | |
| 7 | 2001 | 21 | |
| 8 | 2000 | 46 | |
| 9 | 1998 | 66 | |
| 10 | 1997 | 62 | |
| 11 | 1996 | 39 |
About Michael D. Wagner
Michael D. Wagner is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Artificial Intelligence, Surfaces, Coatings and Films and Mechanical Engineering, having authored 11 papers that have together received 347 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Robotic Path Planning Algorithms (4 papers), Modular Robots and Swarm Intelligence (3 papers), Planetary Science and Exploration (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Astro and Planetary Science (2 papers), Manufacturing Process and Optimization (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Software (21 citations), Artificial Intelligence (158 citations), Computer Vision and Pattern Recognition (95 citations), Computer Networks and Communications (97 citations) and Human-Computer Interaction (23 citations). Michael D. Wagner has collaborated with scholars based in United States. Frequent co-authors include Brian C. Williams, Barney Pell, Douglas E. Bernard, P. Pandurang Nayak, Nicola Muscettola, Erann Gat, Steve Chien, William Whittaker, Kurt Schwehr and Laurence Edwards. Their work appears in journals such as Autonomous Robots, The International Journal of Robotics Research, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), DSpace - NTUA (National Technical University of Athens) and Figshare.
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.