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
Papers in
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- Robotic Path Planning Algorithms 6
- Advanced Neural Network Applications 3
-
- Advanced Graph Neural Networks 2
- Stochastic Gradient Optimization Techniques 2
- Co-authors
- Brian Van Essen (8 shared papers)Nikoli Dryden (3 shared papers)Tim Moon (5 shared papers)Nancy M. Amato (6 shared papers)Shawna Thomas (4 shared papers)Aldo Dagnino (3 shared papers)Jory Denny (2 shared papers)Ian Karlin (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)The International Journal of High Performance Computing Applications (1 paper)Future Generation Computer Systems (1 paper)IEEE International Conference on High Performance Computing, Data, and Analytics (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Sam Adé Jacobs
20 papers receiving 301 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 139
- Artificial Intelligence 172
- Computer Networks and Communications 70
- Hardware and Architecture 19
- Computer Graphics and Computer-Aided Design 7
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 | 86 | |
| 2 | 2016 | 52 | |
| 3 | 2013 | 28 | |
| 4 | 2021 | 21 | |
| 5 | 2012 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2017 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2022 | 3 | |
| 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 312 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers), Robot Manipulation and Learning (4 papers), Scientific Computing and Data Management (3 papers), Advanced Neural Network Applications (3 papers), Software System Performance and Reliability (3 papers), Advanced Graph Neural Networks (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Artificial Intelligence (172 citations), Computer Networks and Communications (70 citations), Hardware and Architecture (19 citations) and Computer Graphics and Computer-Aided Design (7 citations). Sam Adé Jacobs has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Brian Van Essen, Nikoli Dryden, Tim Moon, Nancy M. Amato, Shawna Thomas, Aldo Dagnino, Jory Denny, Ian Karlin, David Hysom and John C. Gyllenhaal. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The International Journal of High Performance Computing Applications, Future Generation Computer Systems, IEEE International Conference on High Performance Computing, Data, and Analytics and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.