Zeev Volkovich

567 citations
62 papers · 297 indexed · h-index 9
Topics
Advanced Clustering Algorithms Research (16 papers)Bayesian Methods and Mixture Models (12 papers)Genomics and Phylogenetic Studies (10 papers)
Partner nations
IsraelRussiaGermany

In The Last Decade

Zeev Volkovich

55 papers receiving 283 citations

Peers

Zeev Volkovich
Comparison fields: 5 of 88
  • Artificial Intelligence 131
  • Molecular Biology 80
  • Computer Networks and Communications 41
  • Signal Processing 24
  • Computer Vision and Pattern Recognition 24
Replace Sven Kosub with:
Sven Kosub Germany
Dan Vilenchik Israel
Kartik Venkat United States
Bernhard Sch lkopf Germany
Xiaodong Liu China
Jüri Lember Estonia
Falk Hüffner Germany
Simone Romano Australia
Andres Méndez-Vázquez Mexico
Martin S. Krejca Germany
Zeev Volkovich relative to Sven Kosub Germany Sven Kosub's profile →
Citations per field
00.5×3.8×
Sven Kosub · 1×
Citations per year

Countries citing papers authored by Zeev Volkovich

Since Specialization
Citations

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

Fields of papers citing papers by Zeev Volkovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeev Volkovich

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 0
7 3
8 1
9
Four Scenarios of Effective Computations on Sum-like Graphs
2
10 0
11 2
12 13
13 5
14 2
15 1
16 34
17 5
18 13
19
Sum and extremal processes over explosion area
2
20 8

About Zeev Volkovich

Zeev Volkovich is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability, having authored 62 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (16 papers), Bayesian Methods and Mixture Models (12 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Artificial Intelligence (131 citations), Signal Processing (24 citations) and Statistics and Probability (18 citations). Zeev Volkovich has collaborated with scholars based in Israel, Russia and Germany. Frequent co-authors include Oleg Granichin, Alexander Bolshoy, Gerhard‐Wilhelm Weber, Valery Kirzhner, Edward N. Trifonov, Eviatar Nevo, Abraham Korol, Eviatar Nevo, David Yarnitsky and Mogher Khamaisi. Their work appears in journals such as PLoS ONE, Scientific Reports and Annals of the New York Academy of Sciences.

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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