This map shows the geographic impact of James Lucas'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 Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lucas more than expected).
This network shows the impact of papers produced by James Lucas. 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 Lucas. The network helps show where James Lucas may publish in the future.
Co-authorship network of co-authors of James Lucas
This figure shows the co-authorship network connecting the top 25 collaborators of James Lucas.
A scholar is included among the top collaborators of James Lucas 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 Lucas. James Lucas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bao, Xuchan, James Lucas, Sushant Sachdeva, & Roger Grosse. (2020). Regularized linear autoencoders recover the principal components, eventually. Neural Information Processing Systems. 33. 6971–6981.1 indexed citations
4.
Lucas, James, George Tucker, Roger Grosse, & Mohammad Norouzi. (2019). Understanding Posterior Collapse in Generative Latent Variable Models. International Conference on Learning Representations.40 indexed citations
5.
Zhang, Michael R., James Lucas, Jimmy Ba, & Geoffrey E. Hinton. (2019). Lookahead Optimizer: k steps forward, 1 step back. Neural Information Processing Systems. 32. 9593–9604.63 indexed citations
Wang, Kuan-Chieh, Paul Vicol, James Lucas, et al.. (2018). Adversarial Distillation of Bayesian Neural Network Posteriors. International Conference on Machine Learning. 5190–5199.3 indexed citations
Lucas, James. (1981). Results of photogrammetric control densification in Ada County, Idaho.2 indexed citations
16.
Jenkins, Robert E., et al.. (1979). Refinement of Positioning Software (DOPPLR). 1. 233–266.1 indexed citations
17.
Lucas, James, et al.. (1976). Experiment S-213 selenocentric geodetic reference system. NASA STI/Recon Technical Report N. 77. 16972.5 indexed citations
18.
Lucas, James, et al.. (1975). Land classification of south-central Iowa from computer enhanced images. NASA STI Repository (National Aeronautics and Space Administration).1 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.