Eli Bingham

648 total citations
3 papers, 2 citations indexed

About

Eli Bingham is a scholar working on Computational Theory and Mathematics, Computational Mathematics and Management Science and Operations Research. According to data from OpenAlex, Eli Bingham has authored 3 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 1 paper in Computational Mathematics and 1 paper in Management Science and Operations Research. Recurrent topics in Eli Bingham's work include Optimal Experimental Design Methods (1 paper), Manufacturing Process and Optimization (1 paper) and Matrix Theory and Algorithms (1 paper). Eli Bingham is often cited by papers focused on Optimal Experimental Design Methods (1 paper), Manufacturing Process and Optimization (1 paper) and Matrix Theory and Algorithms (1 paper). Eli Bingham collaborates with scholars based in Israel and United States. Eli Bingham's co-authors include Martin Jankowiak, Justin Chiu, Neeraj Pradhan, Fritz Obermeyer, Yee Whye Teh, Tom Rainforth, Alexander M. Rush and Noah D. Goodman and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Eli Bingham

1 paper receiving 2 citations

Peers — A (Enhanced Table)

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

Name	h			Papers	Cites
Eli Bingham Israel	1	2	1	3	2
Patrick John Steffanic United States	2	2 1.0×		3	6
V. Gori Italy	2	2 1.0×		4	4
Oleg Zhuk United Kingdom	2	2 1.0×		2	4
Maria Teresa García Morales Spain	1	2 1.0×		3	2
N. Valls Canudas Spain	2	2 1.0×	1 1.0×	3	6
J. Niermann Germany	2	2 1.0×		3	3
X. H. Mo United States	2	2 1.0×		4	8
Vincent-Pierre Berges United States	2	2 1.0×		3	3
A. Woch Poland	2	2 1.0×		9	5

Countries citing papers authored by Eli Bingham

Since Specialization

Citations

This map shows the geographic impact of Eli Bingham'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 Eli Bingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Bingham more than expected).

Fields of papers citing papers by Eli Bingham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli Bingham. 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 Eli Bingham. The network helps show where Eli Bingham may publish in the future.

Co-authorship network of co-authors of Eli Bingham

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

All Works

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3 of 3 papers shown

1.

Bingham, Eli, et al.. (2024). Automated Efficient Estimation using Monte Carlo Efficient Influence Functions. 16102–16132.

2.

Jankowiak, Martin, et al.. (2019). Variational Estimators for Bayesian Optimal Experimental Design.. arXiv (Cornell University).

3.

Obermeyer, Fritz, Eli Bingham, Martin Jankowiak, et al.. (2019). Tensor Variable Elimination for Plated Factor Graphs. arXiv (Cornell University). 4871–4880. 2 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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