Gregory H. Teichert
- Control and Systems Engineering top 10%
- Materials Chemistry
- Biomedical Engineering
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Krishna GarikipatiBrian D. JensenGregory L. HolstAnton Van der VenAnirudh Raju NatarajanSandra H. BurnettXiaoxuan ZhangMohammad Khalil
- Topics
- Machine Learning in Materials Science (5 papers)Microfluidic and Bio-sensing Technologies (5 papers)Neuroscience and Neural Engineering (4 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringJournal of the Mechanics and Physics of SolidsInternational Journal of Solids and Structures
- Partner nations
- United StatesNorway
In The Last Decade
Gregory H. Teichert
18 papers receiving 360 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 112
- Materials Chemistry 94
- Biomedical Engineering 84
- Mechanical Engineering 68
- Electrical and Electronic Engineering 54
Countries citing papers authored by Gregory H. Teichert
This map shows the geographic impact of Gregory H. Teichert'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 Gregory H. Teichert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory H. Teichert more than expected).
Fields of papers citing papers by Gregory H. Teichert
This network shows the impact of papers produced by Gregory H. Teichert. 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 Gregory H. Teichert. The network helps show where Gregory H. Teichert may publish in the future.
Co-authorship network of co-authors of Gregory H. Teichert
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory H. Teichert. A scholar is included among the top collaborators of Gregory H. Teichert 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 Gregory H. Teichert. Gregory H. Teichert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 18 | |
| 7 | 19 | |
| 8 | 74 | |
| 9 | 8 | |
| 10 | 57 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | Design and Testing of a Biological Microelectromechanical System for the Injection of Thousands of Cells Simultaneously | 0 |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 128 | |
| 19 | 3 |
About Gregory H. Teichert
Gregory H. Teichert is a scholar working on Structural Biology, Modeling and Simulation and Condensed Matter Physics, having authored 19 papers that have together received 371 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Structural Biology (9 citations), Modeling and Simulation (27 citations) and Control and Systems Engineering (112 citations). Gregory H. Teichert has collaborated with scholars based in United States and Norway. Frequent co-authors include Krishna Garikipati, Brian D. Jensen, Gregory L. Holst, Anton Van der Ven, Anirudh Raju Natarajan, Sandra H. Burnett, Xiaoxuan Zhang, Mohammad Khalil, Nathan Heckman and Reese E. Jones. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids and International Journal of Solids and Structures.
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.