Helmut Prodinger

304 papers receiving 2.5k citations

Peers

Helmut Prodinger
Comparison fields: 5 of 59
  • Discrete Mathematics and Combinatorics 1.2k
  • Algebra and Number Theory 435
  • Statistics and Probability 489
  • Mathematical Physics 286
  • Computational Theory and Mathematics 373
Replace Michael Drmota with:
Michael Drmota Austria
Van H. Vu United States
Alexander I. Barvinok United States
Prasad Tetali United States
Hsien‐Kuei Hwang Taiwan
Bruno Salvy France
E. Rodney Canfield United States
Joel Friedman United States
Gil Kalai Israel
Boris G. Pittel United States
Helmut Prodinger relative to Michael Drmota Austria Michael Drmota's profile →
Citations per field
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Citations per year

Countries citing papers authored by Helmut Prodinger

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Prodinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982163
2 199490
3 198663
4 199553
5 199651
6 199349
7 198943
8 198738
9 199438
10 199335
11 199834
12 199133
13 199433
14 199532
15 199732
16 198631
17 198630
18 198329
19 198929
20 200728

About Helmut Prodinger

Helmut Prodinger is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory, Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence, having authored 326 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (182 papers), Probability and Statistical Research (58 papers), Algorithms and Data Compression (56 papers), Advanced Mathematical Identities (51 papers), Analytic Number Theory Research (26 papers), semigroups and automata theory (21 papers), Cryptography and Residue Arithmetic (17 papers) and Complexity and Algorithms in Graphs (14 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.2k citations), Algebra and Number Theory (435 citations), Statistics and Probability (489 citations), Mathematical Physics (286 citations) and Computational Theory and Mathematics (373 citations). Helmut Prodinger has collaborated with scholars based in South Africa, Austria and United States. Frequent co-authors include Peter Kirschenhofer, Robert F. Tichy, Peter J. Grabner, Clemens Heuberger, Alois Panholzer, Philippe Flajolet, Guy Louchard, Arnold Knopfmacher, Wojciech Szpankowski A and Emrah Kılıç. Their work appears in journals such as Theoretical Computer Science, Discrete Mathematics & Theoretical Computer Science, Discrete Mathematics, The Electronic Journal of Combinatorics and Lecture notes in 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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