Gábor Lippner

21 papers receiving 546 citations

Gábor Lippner's Hit Papers

Evolutionary dynamics on any population structure 2017 · 369 citations
3690+3+6Years since publication100200300

Peers

Gábor Lippner
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 129
  • Safety Research 80
  • Discrete Mathematics and Combinatorics 28
  • Genetics 213
  • Sociology and Political Science 341
Replace Raúl Jiménez with:
Raúl Jiménez Spain
David P. Kraines United States
Ethan Akin United States
Mats G. Nordahl Sweden
Aidan Sudbury Australia
Bing-Hong Wang China
Ying-Hai Wang China
Tadeusz Płatkowski Poland
Abhijin Adiga United States
Gábor Lippner relative to Raúl Jiménez Spain Raúl Jiménez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gábor Lippner

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Lippner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gábor Lippner, 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 Gábor Lippner Line = papers co-authored together Gábor Lippner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evolutionary dynamics on any population structure
Hit paper breakdown →
2017369
2 201747
3 202031
4 202121
5 201020
6 200915
7 201715
8 20227
9 20166
10 20036
11 20125
12 20174
13 20074
14 20224
15 20063
16 20232
17 20152
18 20162
19 20221
20 20041

About Gábor Lippner

Gábor Lippner is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Applied Mathematics, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 26 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (5 papers), Geometric Analysis and Curvature Flows (5 papers), Limits and Structures in Graph Theory (5 papers), Advanced Numerical Analysis Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Topological and Geometric Data Analysis (3 papers), Quantum Information and Cryptography (3 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (129 citations), Safety Research (80 citations), Discrete Mathematics and Combinatorics (28 citations), Genetics (213 citations) and Sociology and Political Science (341 citations). Gábor Lippner has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Shing–Tung Yau, Benjamin Allen, Babak Fotouhi, Naghmeh Momeni, Martin A. Nowak, Yu-Ting Chen, Gábor Elek, Albert-László Barabási, Jaime A. Moreno and Marco Tulio Angulo. Their work appears in journals such as Quantum Information Processing, International Mathematics Research Notices, Bulletin of the London Mathematical Society, Algebraic & Geometric Topology and PLoS Computational Biology.

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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