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.
OceanStore
20001.3k citationsJohn Kubiatowicz, David Bindel et al.profile →
OceanStore
2000677 citationsJohn Kubiatowicz, David Bindel et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of David Bindel'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 David Bindel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bindel more than expected).
This network shows the impact of papers produced by David Bindel. 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 David Bindel. The network helps show where David Bindel may publish in the future.
Co-authorship network of co-authors of David Bindel
This figure shows the co-authorship network connecting the top 25 collaborators of David Bindel.
A scholar is included among the top collaborators of David Bindel 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 David Bindel. David Bindel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bindel, David, et al.. (2020). Randomly Projected Additive Gaussian Processes for Regression. International Conference on Machine Learning. 1. 2453–2463.2 indexed citations
6.
Bindel, David, et al.. (2020). Prior-aware Composition Inference for Spectral Topic Models. International Conference on Artificial Intelligence and Statistics. 4258–4268.2 indexed citations
Gardner, Jacob R., Geoff Pleiss, Kilian Q. Weinberger, David Bindel, & Andrew Gordon Wilson. (2018). GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration. Neural Information Processing Systems. 31. 7576–7586.57 indexed citations
9.
Eriksson, David, et al.. (2018). Scaling Gaussian Process Regression with Derivatives. arXiv (Cornell University). 31. 6867–6877.8 indexed citations
10.
Shoemaker, Christine A., Min Pang, Taimoor Akhtar, & David Bindel. (2016). Applications of New Surrogate Global Optimization Algorithms including Efficient Synchronous and Asynchronous Parallelism for Calibration of Expensive Nonlinear Geophysical Simulation Models.. AGU Fall Meeting Abstracts. 2016.1 indexed citations
11.
Bindel, David, et al.. (2013). Localization theorems for nonlinear eigenvalues. arXiv (Cornell University).3 indexed citations
Bindel, David & Cynthia Bruyns. (2006). Shape-changing Symmetric Objects for Sound Synthesis. Journal of the Audio Engineering Society.2 indexed citations
17.
Bindel, David, Zhaojun Bai, & James Demmel. (2004). Model reduction for RF MEMS simulation.2 indexed citations
Kubiatowicz, John, David Bindel, Yan Chen, et al.. (2000). OceanStore. 190–201.677 indexed citations breakdown →
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.