Yoav Zemel

1.1k citations
9 papers · 539 indexed · 1 hit paper · h-index 6
Topics
Point processes and geometric inequalities (4 papers)Geometric Analysis and Curvature Flows (4 papers)Morphological variations and asymmetry (2 papers)

In The Last Decade

Yoav Zemel

9 papers receiving 520 citations

Hit Papers

Statistical Aspects of Wasserstein Distances20182026202020232018100200300

Peers

Yoav Zemel
Comparison fields: 5 of 124
  • Artificial Intelligence 119
  • Statistics and Probability 94
  • Computer Vision and Pattern Recognition 68
  • Applied Mathematics 65
  • Computational Theory and Mathematics 45
Replace Victor M. Panaretos with:
Victor M. Panaretos Switzerland
C. G. Troskie South Africa
Tim van Erven Netherlands
Mauro Piccioni Italy
Clark R. Givens United States
Pushpa N. Rathie Brazil
Yoshifusa Ito Japan
Niklas Lind United Kingdom
Cheng Cheng China
Romain Couillet France
Yoav Zemel relative to Victor M. Panaretos Switzerland Victor M. Panaretos's profile →
Citations per field
00.5×1.5×
Victor M. Panaretos · 1×
Citations per year

Countries citing papers authored by Yoav Zemel

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Zemel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Zemel

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 5
5 76
6
Statistical Aspects of Wasserstein Distancesbreakdown →
397
7 12
8 36
9
Optimal Transportation: Continuous and Discrete
3

About Yoav Zemel

Yoav Zemel is a scholar working on Applied Mathematics, Geometry and Topology and Computer Graphics and Computer-Aided Design, having authored 9 papers that have together received 539 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (4 papers), Geometric Analysis and Curvature Flows (4 papers) and Morphological variations and asymmetry (2 papers). The work is most often cited by research in Statistics and Probability (94 citations), Applied Mathematics (65 citations) and Artificial Intelligence (119 citations). Yoav Zemel has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Victor M. Panaretos, Jonathan M. Henshaw, Axel Munk, Florian Heinemann and Miguel de Carvalho. Their work appears in journals such as The Annals of Statistics, Methods in Ecology and Evolution and Annals of Operations Research.

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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