Sam Kriegman

20 papers receiving 771 citations

Sam Kriegman's Hit Papers

A scalable pipeline for designing reconfigurable organisms 2020 · 300 citations
3000+2+4Years since publication100200300

Peers

Sam Kriegman
Comparison fields: 5 of 87
  • Condensed Matter Physics 231
  • Aging 16
  • Mechanical Engineering 342
  • Biomedical Engineering 348
  • Cognitive Neuroscience 109
Replace Norbert Stoop with:
Norbert Stoop Switzerland
Chaohui Gong United States
Joshua Bongard United States
Nicolas Bredèche France
Oliver Pohl United States
Hiromasa Oku Japan
Daisuke Inoue Japan
Johanna Bischof United States
André Guignard Switzerland
Jim Bellingham United States
Sam Kriegman relative to Norbert Stoop Switzerland Norbert Stoop's profile →
Citations per field
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Norbert Stoop · 1×
Citations per year

Countries citing papers authored by Sam Kriegman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 18 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.

Border = papers with Sam Kriegman Line = papers co-authored together Sam Kriegman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A scalable pipeline for designing reconfigurable organisms
Hit paper breakdown →
2020300
2 2020123
3 2021121
4 202181
5 202051
6 202323
7 201717
8 202316
9 201815
10 202110
11 20179
12 20217
13 20197
14 20194
15 20204
16 20204
17 20183
18 20241
19 20241
20 20161

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 21 papers that have together received 798 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), Evolutionary Algorithms and Applications (4 papers), Advanced Materials and Mechanics (3 papers), Soft Robotics and Applications (2 papers), Advanced Memory and Neural Computing (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Condensed Matter Physics (231 citations), Aging (16 citations), Mechanical Engineering (342 citations), Biomedical Engineering (348 citations) and Cognitive Neuroscience (109 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, Simon Garnier, Joshua Bongard, Francesco Corucci, Nick Cheney and Amir Mohammadi Nasab. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials, Nature Machine Intelligence, Science Robotics and Soft 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.

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