Daniel Berend

103 papers receiving 932 citations

Peers

Daniel Berend
Comparison fields: 5 of 102
  • Discrete Mathematics and Combinatorics 115
  • Mathematical Physics 305
  • Algebra and Number Theory 127
  • Geometry and Topology 236
  • General Decision Sciences 30
Replace Teturo Kamae with:
Teturo Kamae Japan
John Hawkes United Kingdom
P. S. Bullen Canada
Louis J. Billera United States
Ethan D. Bolker United States
Ulrich Krengel Germany
Marc Yor France
C. B. Garcia United States
Ulrich Krause Germany
Akimichi Takemura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Berend

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Berend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Berend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Berend Line = papers co-authored together Daniel Berend links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IMPROVED BOUNDS ON BELL NUMBERS AND ON MOMENTS OF SUMS OF RANDOM VARIABLES
201080
2 199879
3 200961
4 198341
5 200635
6 200528
7 199226
8 201326
9 200625
10 201324
11 199624
12 198422
13 199021
14 201220
15 201219
16 198518
17 198417
18 200517
19 199817
20 199416

About Daniel Berend

Daniel Berend is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology, Artificial Intelligence and Algebra and Number Theory, having authored 117 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (26 papers), Advanced Topology and Set Theory (16 papers), semigroups and automata theory (15 papers), Analytic Number Theory Research (15 papers), Game Theory and Voting Systems (13 papers), graph theory and CDMA systems (12 papers), Limits and Structures in Graph Theory (9 papers) and Advanced Graph Theory Research (9 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (115 citations), Mathematical Physics (305 citations), Algebra and Number Theory (127 citations), Geometry and Topology (236 citations) and General Decision Sciences (30 citations). Daniel Berend has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Y. Avishai, Tamir Tassa, Jacob Paroush, Aryeh Kontorovich, Vitaly Bergelson, Steven Skiena, Eitan Bachmat, Yuri Bilu, Josué Antonio Nescolarde‐Selva and J. L. Usó-Doménech. Their work appears in journals such as Israel Journal of Mathematics, Transactions of the American Mathematical Society, Journal of Number Theory, Ergodic Theory and Dynamical Systems and Discrete Applied Mathematics.

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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