Sam Kriegman
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
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- Modular Robots and Swarm Intelligence 13
- Advanced Materials and Mechanics 3
-
- Micro and Nano Robotics 8
- Co-authors
- Michael Levin (8 shared papers)Josh Bongard (16 shared papers)Douglas Blackiston (5 shared papers)Rebecca Kramer‐Bottiglio (5 shared papers)Dylan Shah (4 shared papers)Joshua Bongard (1 shared paper)Simon Garnier (1 shared paper)Nick Cheney (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Machine Intelligence (2 papers)Advanced Materials (2 papers)Soft Robotics (1 paper)Science Robotics (1 paper)
- Partner nations
- United StatesItalyHungary
In The Last Decade
Sam Kriegman
18 papers receiving 705 citations
Sam Kriegman's Hit Papers
Peers
Comparison fields: 5 of 87
- Condensed Matter Physics 218
- Aging 15
- Mechanical Engineering 313
- Biomedical Engineering 327
- Cognitive Neuroscience 102
Countries citing papers authored by Sam Kriegman
This map shows the geographic impact of Sam Kriegman'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 Sam Kriegman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Kriegman more than expected).
Fields of papers citing papers by Sam Kriegman
This network shows the impact of papers produced by Sam Kriegman. 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 Sam Kriegman. The network helps show where Sam Kriegman may publish in the future.
Co-authors
The 16 scholars most cited alongside Sam Kriegman, 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 | A scalable pipeline for designing reconfigurable organisms Hit paper breakdown → | 2020 | 275 |
| 2 | 2020 | 118 | |
| 3 | 2021 | 110 | |
| 4 | 2021 | 73 | |
| 5 | 2020 | 47 | |
| 6 | 2023 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Sam Kriegman
Sam Kriegman is a scholar working on Mechanical Engineering, Condensed Matter Physics, Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 20 papers that have together received 730 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (13 papers), Micro and Nano Robotics (8 papers), Robot Manipulation and Learning (4 papers), Advanced Materials and Mechanics (3 papers), Evolutionary Algorithms and Applications (3 papers), Soft Robotics and Applications (2 papers), 3D Printing in Biomedical Research (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Condensed Matter Physics (218 citations), Aging (15 citations), Mechanical Engineering (313 citations), Biomedical Engineering (327 citations) and Cognitive Neuroscience (102 citations). Sam Kriegman has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Michael Levin, Josh Bongard, Douglas Blackiston, Rebecca Kramer‐Bottiglio, Dylan Shah, Joshua Bongard, Simon Garnier, Nick Cheney, Amir Mohammadi Nasab and Cecilia Laschi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Machine Intelligence, Advanced Materials, Soft Robotics and Science Robotics.
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.