Adam W. Hall
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Angela P. SchoelligMelissa GreeffSiqi ZhouJacopo PaneratiLukas BrunkeM. MaolinbayJeffrey H. SiewerdsenYoucef El‐Mohri
- Topics
- Advanced Control Systems Optimization (3 papers)Control Systems and Identification (3 papers)Fault Detection and Control Systems (2 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Automatic ControlIEEE Control Systems
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Adam W. Hall
8 papers receiving 468 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 239
- Artificial Intelligence 179
- Electrical and Electronic Engineering 66
- Automotive Engineering 61
- Computational Theory and Mathematics 55
Countries citing papers authored by Adam W. Hall
This map shows the geographic impact of Adam W. Hall'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 Adam W. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam W. Hall more than expected).
Fields of papers citing papers by Adam W. Hall
This network shows the impact of papers produced by Adam W. Hall. 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 Adam W. Hall. The network helps show where Adam W. Hall may publish in the future.
Co-authorship network of co-authors of Adam W. Hall
This figure shows the co-authorship network connecting the top 25 collaborators of Adam W. Hall. A scholar is included among the top collaborators of Adam W. Hall 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 Adam W. Hall. Adam W. Hall 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 | 25 | |
| 3 | 4 | |
| 4 | 28 | |
| 5 | Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learningbreakdown → | 388 |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 4 |
About Adam W. Hall
Adam W. Hall is a scholar working on Software, Control and Systems Engineering and Biophysics, having authored 8 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (3 papers), Control Systems and Identification (3 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (239 citations), Artificial Intelligence (179 citations) and Automotive Engineering (61 citations). Adam W. Hall has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Angela P. Schoellig, Melissa Greeff, Siqi Zhou, Jacopo Panerati, Lukas Brunke, M. Maolinbay, Jeffrey H. Siewerdsen, Youcef El‐Mohri, Larry E. Antonuk and Richard L. Weisfield. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and IEEE Control Systems.
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.