Sam Adé Jacobs
Impact in
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
Papers in
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- Robotic Path Planning Algorithms 6
- Advanced Neural Network Applications 3
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- Advanced Graph Neural Networks 2
- Co-authors
- Brian Van Essen (8 shared papers)Tim Moon (5 shared papers)Nikoli Dryden (3 shared papers)Nancy M. Amato (6 shared papers)Shawna Thomas (4 shared papers)Aldo Dagnino (3 shared papers)Jory Denny (2 shared papers)Lydia Tapia (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Future Generation Computer Systems (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)IEEE International Conference on High Performance Computing, Data, and Analytics (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Sam Adé Jacobs
20 papers receiving 327 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 183
- Hardware and Architecture 23
- Computer Networks and Communications 77
- Aerospace Engineering 48
Countries citing papers authored by Sam Adé Jacobs
This map shows the geographic impact of Sam Adé Jacobs'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 Adé Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Adé Jacobs more than expected).
Fields of papers citing papers by Sam Adé Jacobs
This network shows the impact of papers produced by Sam Adé Jacobs. 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 Adé Jacobs. The network helps show where Sam Adé Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Adé Jacobs, 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 | 2016 | 93 | |
| 2 | 2016 | 55 | |
| 3 | 2013 | 32 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2012 | 20 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2017 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2014 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2022 | 1 |
About Sam Adé Jacobs
Sam Adé Jacobs is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Aerospace Engineering, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (4 papers), Software System Performance and Reliability (3 papers), Advanced Neural Network Applications (3 papers), Scientific Computing and Data Management (3 papers), Data Mining Algorithms and Applications (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (183 citations), Hardware and Architecture (23 citations), Computer Networks and Communications (77 citations) and Aerospace Engineering (48 citations). Sam Adé Jacobs has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Brian Van Essen, Tim Moon, Nikoli Dryden, Nancy M. Amato, Shawna Thomas, Aldo Dagnino, Jory Denny, Lydia Tapia, John C. Gyllenhaal and Derek Jones. Their work appears in journals such as The International Journal of High Performance Computing Applications, Future Generation Computer Systems, IEEE Transactions on Visualization and Computer Graphics, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and IEEE International Conference on High Performance Computing, Data, and Analytics.
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.