Michael D. Wagner
Impact in
- Software top 10%
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
Papers in
-
- AI-based Problem Solving and Planning 5
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- Robotic Path Planning Algorithms 4
- Co-authors
- Nicola Muscettola (3 shared papers)Barney Pell (3 shared papers)P. Pandurang Nayak (3 shared papers)Erann Gat (3 shared papers)Douglas E. Bernard (3 shared papers)Brian C. Williams (3 shared papers)Steve Chien (3 shared papers)William Whittaker (3 shared papers)
- Journals
- Autonomous Robots (2 papers)The International Journal of Robotics Research (1 paper)Addictive Behaviors (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)DSpace - NTUA (National Technical University of Athens) (1 paper)
- Partner nations
- United States
In The Last Decade
Michael D. Wagner
10 papers receiving 298 citations
Peers
Comparison fields: 5 of 63
- 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 25 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 | 2001 | 73 | |
| 2 | 1998 | 67 | |
| 3 | 1997 | 62 | |
| 4 | 2000 | 46 | |
| 5 | 1996 | 39 | |
| 6 | 2002 | 31 | |
| 7 | 2001 | 21 | |
| 8 | 1988 | 9 | |
| 9 | 1987 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 1990 | 1 | |
| 12 | 2018 | 0 | |
| 13 | 2018 | 0 |
About Michael D. Wagner
Michael D. Wagner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Mechanical Engineering and Computer Networks and Communications, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Robotic Path Planning Algorithms (4 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Astro and Planetary Science (2 papers), Modular Robots and Swarm Intelligence (2 papers), Planetary Science and Exploration (2 papers), Respiratory and Cough-Related Research (2 papers) and Isotope Analysis in Ecology (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 Nicola Muscettola, Barney Pell, P. Pandurang Nayak, Erann Gat, Douglas E. Bernard, Brian C. Williams, Steve Chien, William Whittaker, Eric Zbinden and Maria Bualat. Their work appears in journals such as Autonomous Robots, The International Journal of Robotics Research, Addictive Behaviors, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and DSpace - NTUA (National Technical University of Athens).
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.