James Davidson
Impact in
-
- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Information Systems top 1%
- Recommender Systems and Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 3
- Domain Adaptation and Few-Shot Learning 2
- Reinforcement Learning in Robotics 2
-
- Multimodal Machine Learning Applications 2
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Rahul Sukthankar (2 shared papers)Yu He (1 shared paper)M.L. Lambert (1 shared paper)Ullas Gargi (1 shared paper)Palash Nandy (1 shared paper)Junning Liu (1 shared paper)Saurabh Gupta (1 shared paper)Jitendra Malik (1 shared paper)
- Journals
- Zeitschrift für angewandte Mathematik und Physik (1 paper)ACS Sensors (1 paper)Journal of Bone and Joint Surgery (1 paper)Uncertainty in Artificial Intelligence (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
James Davidson
14 papers receiving 1.3k citations
James Davidson's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 539
- Information Systems 494
- Artificial Intelligence 594
- Management Science and Operations Research 131
- Signal Processing 80
Countries citing papers authored by James Davidson
This map shows the geographic impact of James Davidson'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 James Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Davidson more than expected).
Fields of papers citing papers by James Davidson
This network shows the impact of papers produced by James Davidson. 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 James Davidson. The network helps show where James Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside James Davidson, 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 | The YouTube video recommendation system Hit paper breakdown → | 2010 | 741 |
| 2 | 2017 | 266 | |
| 3 | 2017 | 161 | |
| 4 | 2018 | 99 | |
| 5 | 2021 | 22 | |
| 6 | Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors | 2018 | 13 |
| 7 | Ayurvedic medicine: patients in peril from plumbism. | 2006 | 13 |
| 8 | 2010 | 9 | |
| 9 | 1984 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2020 | 5 | |
| 12 | Noise Contrastive Priors for Functional Uncertainty | 2018 | 4 |
| 13 | Learning Grasping Interaction with Geometry-aware 3D Representations. | 2017 | 4 |
| 14 | 2017 | 1 |
About James Davidson
James Davidson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Infectious Diseases and Computer Networks and Communications, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers), Reinforcement Learning in Robotics (2 papers), Telemedicine and Telehealth Implementation (1 paper), Advanced Database Systems and Queries (1 paper), Mathematical Biology Tumor Growth (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (539 citations), Information Systems (494 citations), Artificial Intelligence (594 citations), Management Science and Operations Research (131 citations) and Signal Processing (80 citations). James Davidson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rahul Sukthankar, Yu He, M.L. Lambert, Ullas Gargi, Palash Nandy, Junning Liu, Saurabh Gupta, Jitendra Malik, Sergey Levine and Lerrel Pinto. Their work appears in journals such as Zeitschrift für angewandte Mathematik und Physik, ACS Sensors, Journal of Bone and Joint Surgery, Uncertainty in Artificial Intelligence and arXiv (Cornell University).
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.