Sinkhorn Distances: Lightspeed Computation of Optimal Transport
- Authors
- Marco Cuturi
- Journal
- Neural Information Processing Systems
In The Last Decade
doi.org/w17862615 →Countries where authors are citing Sinkhorn Distances: Lightspeed Computation of Optimal Transport
This map shows the geographic impact of Sinkhorn Distances: Lightspeed Computation of Optimal Transport. 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 Sinkhorn Distances: Lightspeed Computation of Optimal Transport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinkhorn Distances: Lightspeed Computation of Optimal Transport more than expected).
Fields of papers citing Sinkhorn Distances: Lightspeed Computation of Optimal Transport
This network shows the impact of Sinkhorn Distances: Lightspeed Computation of Optimal Transport. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Sinkhorn Distances: Lightspeed Computation of Optimal Transport.
About Sinkhorn Distances: Lightspeed Computation of Optimal Transport
This paper, published in 2013, received 1.0k indexed citations . Written by Marco Cuturi covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (455 citations), Computer Vision and Pattern Recognition (442 citations) and Computational Mechanics (98 citations). Published in Neural Information Processing Systems.
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.
This paper is also available at doi.org/w17862615.