Андерсон
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Artificial Intelligence
- Media Technology top 10%
- Topics
- Neural Networks and Applications (5 papers)Parallel Computing and Optimization Techniques (3 papers)Speech and Audio Processing (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Андерсон
59 papers receiving 388 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 153
- Cognitive Neuroscience 53
- Electrical and Electronic Engineering 49
- Artificial Intelligence 48
- Media Technology 43
Countries citing papers authored by Андерсон
This map shows the geographic impact of Андерсон'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 Андерсон with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Андерсон more than expected).
Fields of papers citing papers by Андерсон
This network shows the impact of papers produced by Андерсон. 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 Андерсон. The network helps show where Андерсон may publish in the future.
Co-authorship network of co-authors of Андерсон
This figure shows the co-authorship network connecting the top 25 collaborators of Андерсон. A scholar is included among the top collaborators of Андерсон 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 Андерсон. Андерсон 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 | Parallel Implementation of the BiCGStab（2） Method in GPU Using CUDA and Matlab for Solution of Linear Systems | 3 |
| 3 | Influence of the Use of Biodiesel from Residual Oils on Lubricant Oil in Diesel Engines | 2 |
| 4 | Managing autonomy in robot teams: Observations from four experiments | 15 |
| 5 | Chinese NGOs in action against HIV/AIDS | 1 |
| 6 | 2 | |
| 7 | Demonstration of the secure wireless agent testbed (SWAT) | 1 |
| 8 | 4 | |
| 9 | 10 | |
| 10 | Deck Diving of Catamarans in Following Seas | 2 |
| 11 | MATERIALS AND CONSTRUCTION VARIABILITY BASED ON SHRP-LTPP DATA | 1 |
| 12 | 4 | |
| 13 | A joint NSF/EPRI sponsored research project on advanced graphics for power system operation | 1 |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Concurrent Jurisdiction -- NLRB and Private Arbitration: A Pragmatic Analysis | 0 |
About Андерсон
Андерсон is a scholar working on Issues, ethics and legal aspects, Hardware and Architecture and Fluid Flow and Transfer Processes, having authored 66 papers that have together received 438 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Parallel Computing and Optimization Techniques (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Media Technology (43 citations) and Human-Computer Interaction (22 citations). Андерсон has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Serge Belongie, Coleman, Sun, Swaminathan, Goldman, Ronaldo Borges Barthem, Okada, Smith, Martin Renilson and M.D. Martín. Their work appears in journals such as IEEE Transactions on Automatic Control, Computer and Journal of Phycology.
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.