David H. Gracias
- Biomedical Engineering top 0.05%
- Mechanical Engineering top 0.05%
- Condensed Matter Physics top 0.2%
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 5%
- Co-authors
- Timothy G. LeongNoy BassikChangKyu YoonRohan FernandesMustapha JamalChristina L. RandallEvin GultepeThao D. Nguyen
- Topics
- Advanced Materials and Mechanics (78 papers)Modular Robots and Swarm Intelligence (68 papers)Micro and Nano Robotics (50 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
David H. Gracias
214 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Biomedical Engineering 8.3k
- Mechanical Engineering 6.5k
- Condensed Matter Physics 3.2k
- Electrical and Electronic Engineering 1.6k
- Materials Chemistry 1.6k
Countries citing papers authored by David H. Gracias
This map shows the geographic impact of David H. Gracias'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 David H. Gracias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Gracias more than expected).
Fields of papers citing papers by David H. Gracias
This network shows the impact of papers produced by David H. Gracias. 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 David H. Gracias. The network helps show where David H. Gracias may publish in the future.
Co-authorship network of co-authors of David H. Gracias
This figure shows the co-authorship network connecting the top 25 collaborators of David H. Gracias. A scholar is included among the top collaborators of David H. Gracias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David H. Gracias. David H. Gracias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 54 | |
| 5 | 13 | |
| 6 | 111 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 53 | |
| 10 | 104 | |
| 11 | 22 | |
| 12 | 71 | |
| 13 | 376 | |
| 14 | 26 | |
| 15 | 41 | |
| 16 | 70 | |
| 17 | 8 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 48 |
About David H. Gracias
David H. Gracias is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering, having authored 216 papers that have together received 13.1k indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (78 papers), Modular Robots and Swarm Intelligence (68 papers) and Micro and Nano Robotics (50 papers). The work is most often cited by research in Condensed Matter Physics (3.2k citations), Biomedical Engineering (8.3k citations) and Mechanical Engineering (6.5k citations). David H. Gracias has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Timothy G. Leong, Noy Bassik, ChangKyu Yoon, Rohan Fernandes, Mustapha Jamal, Christina L. Randall, Evin Gultepe, Thao D. Nguyen, Aasiyeh M. Zarafshar and George M. Whitesides. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.