James Davidson

3.4k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

James Davidson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, James Davidson has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in James Davidson's work include Adversarial Robustness in Machine Learning (3 papers), Reinforcement Learning in Robotics (2 papers) and Multimodal Machine Learning Applications (2 papers). James Davidson is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Reinforcement Learning in Robotics (2 papers) and Multimodal Machine Learning Applications (2 papers). James Davidson collaborates with scholars based in United States, United Kingdom and Germany. James Davidson's co-authors include Rahul Sukthankar, Yu He, M.L. Lambert, Junning Liu, Palash Nandy, Ullas Gargi, Saurabh Gupta, Jitendra Malik, Sergey Levine and Lerrel Pinto and has published in prestigious journals such as Journal of Bone and Joint Surgery, ACS Sensors and Zeitschrift für angewandte Mathematik und Physik.

In The Last Decade

James Davidson

14 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The YouTube video recommendation system

2010 736 citations James Davidson, Junning Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James Davidson United States	8	589	534	493	156	131	14	1.3k
Yalou Huang China	20	1.1k 1.9×	518 1.0×	512 1.0×	118 0.8×	44 0.3×	111	1.9k
Sabrina Senatore Italy	18	613 1.0×	197 0.4×	334 0.7×	131 0.8×	121 0.9×	92	1.1k
Matt J. Kusner United States	14	1.1k 1.8×	316 0.6×	246 0.5×	73 0.5×	89 0.7×	26	1.7k
Yinfei Yang United States	21	1.8k 3.0×	757 1.4×	318 0.6×	47 0.3×	58 0.4×	37	2.5k
Ashraf Elnagar United Arab Emirates	25	1.0k 1.7×	449 0.8×	261 0.5×	89 0.6×	35 0.3×	127	1.8k
Eric Huang United States	17	1.8k 3.0×	380 0.7×	248 0.5×	73 0.5×	88 0.7×	38	2.4k
Xiaolin Gui China	20	1.1k 1.8×	220 0.4×	693 1.4×	608 3.9×	102 0.8×	143	1.9k
Peter R. Lewis United Kingdom	19	411 0.7×	219 0.4×	175 0.4×	410 2.6×	57 0.4×	97	1.1k
Daniel Whitehouse United Kingdom	10	1.3k 2.1×	374 0.7×	84 0.2×	164 1.1×	130 1.0×	15	1.9k
Edward J. Powley United Kingdom	12	1.3k 2.3×	391 0.7×	87 0.2×	165 1.1×	132 1.0×	29	2.0k

Countries citing papers authored by James Davidson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of James Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of James Davidson. A scholar is included among the top collaborators of James Davidson 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 James Davidson. James Davidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Toropov, N. A., Lovleen Tina Joshi, James Davidson, et al.. (2021). SARS-CoV-2 Tests: Bridging the Gap between Laboratory Sensors and Clinical Applications. ACS Sensors. 6(8). 2815–2837. 22 indexed citations

2.

Henley, M. Bradford, et al.. (2020). Orthopaedic Documentation and Coding Primer for Telemedicine and Electronic Patient Communication for the COVID-19 Pandemic. Journal of Bone and Joint Surgery. 102(13). 1105–1108. 5 indexed citations

3.

Hafner, Danijar, Dustin Tran, Alex Irpan, Timothy Lillicrap, & James Davidson. (2018). Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. arXiv (Cornell University). 12 indexed citations

4.

Hafner, Danijar, Dustin Tran, Timothy Lillicrap, Alex Irpan, & James Davidson. (2018). Noise Contrastive Priors for Functional Uncertainty. Uncertainty in Artificial Intelligence. 905–914. 4 indexed citations

5.

Hafner, Danijar, Timothy Lillicrap, Ian Fischer, et al.. (2018). Learning Latent Dynamics for Planning from Pixels. arXiv (Cornell University). 2555–2565. 99 indexed citations

6.

Gupta, Saurabh, James Davidson, Sergey Levine, Rahul Sukthankar, & Jitendra Malik. (2017). Cognitive Mapping and Planning for Visual Navigation. 7272–7281. 261 indexed citations

7.

Hafner, Danijar, et al.. (2017). Learning Hierarchical Information Flow with Recurrent Neural Modules. arXiv (Cornell University). 30. 6724–6733. 1 indexed citations

8.

Yan, Xinchen, Mohi Khansari, Yunfei Bai, et al.. (2017). Learning Grasping Interaction with Geometry-aware 3D Representations.. 4 indexed citations

9.

Pinto, Lerrel, James Davidson, Rahul Sukthankar, & Abhinav Gupta. (2017). Robust Adversarial Reinforcement Learning. arXiv (Cornell University). 2817–2826. 159 indexed citations

10.

Davidson, James. (2013). Existence and uniqueness theorem for the Safronov–Dubovski coagulation equation. Zeitschrift für angewandte Mathematik und Physik. 65(4). 757–766. 6 indexed citations

11.

Candido, Salvatore, James Davidson, & Seth Hutchinson. (2010). Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs. 31. 3596–3603. 9 indexed citations

12.

Davidson, James, Junning Liu, Palash Nandy, et al.. (2010). The YouTube video recommendation system. 293–296. 736 indexed citations breakdown →

13.

Davidson, James, et al.. (2006). Ayurvedic medicine: patients in peril from plumbism.. PubMed. 119(1233). U1958–U1958. 13 indexed citations

14.

Davidson, James. (1984). A natural language interface for performing database updates. 69–76. 7 indexed citations

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.

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