Ethan R. Elenberg

About

Ethan R. Elenberg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ethan R. Elenberg has authored 8 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ethan R. Elenberg’s work include Combinatorial Optimization and Complexity Theory (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Graph Neural Networks (1 paper). Ethan R. Elenberg is often cited by papers focused on Combinatorial Optimization and Complexity Theory (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Graph Neural Networks (1 paper). Ethan R. Elenberg collaborates with scholars based in United States, Israel and Switzerland. Ethan R. Elenberg's co-authors include Alexandros G. Dimakis, Rajiv Khanna, Sahand Negahban, Michael Borokhovich, Karthikeyan Shanmugam, Moran Feldman, Amin Karbasi, Joydeep Ghosh, Tao Leí and Jeremy Wohlwend and has published in prestigious journals such as The Annals of Statistics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Ethan R. Elenberg i

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Fields of papers citing papers by Ethan R. Elenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan R. Elenberg. 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 Ethan R. Elenberg. The network helps show where Ethan R. Elenberg may publish in the future.

Countries citing papers authored by Ethan R. Elenberg

Since Specialization

Citations

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

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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