Peter Wild

771 citations
43 papers · 366 · h-index 10

Impact in

Papers in

Peter Wild

39 papers receiving 330 citations

Peers

Peter Wild
Comparison fields: 5 of 63
  • Discrete Mathematics and Combinatorics 53
  • Artificial Intelligence 217
  • Computational Mathematics 2
  • Computational Theory and Mathematics 52
  • Computer Networks and Communications 69
Replace Joseph L. Yucas with:
Joseph L. Yucas United States
Ragnar Freij-Hollanti Finland
Robert Silverman United States
Vincent Vajnovszki France
B. S. Panda India
Ronald C. Mullin Canada
Anant P. Godbole United States
Massimiliano Sala Italy
Loÿs Thimonier France
Yuval Filmus Israel
Peter Wild relative to Joseph L. Yucas United States Joseph L. Yucas's profile →
Citations per field
00.5×4.3×
Joseph L. Yucas · 1×
Citations per year

Countries citing papers authored by Peter Wild

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Peter Wild, 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 Peter Wild Line = papers co-authored together Peter Wild links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200661
2 198744
3 198840
4 199833
5 202119
6 201215
7 200512
8 198711
9 19949
10 19949
11 19988
12 19928
13 19867
14 19887
15 19947
16 19866
17 19896
18 20096
19 19856
20 19875

About Peter Wild

Peter Wild is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 43 papers that have together received 366 indexed citations. Recurring topics across this work include graph theory and CDMA systems (22 papers), Coding theory and cryptography (12 papers), Finite Group Theory Research (6 papers), Cryptography and Data Security (5 papers), Cryptographic Implementations and Security (4 papers), Optimal Experimental Design Methods (4 papers), Advanced Authentication Protocols Security (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (53 citations), Artificial Intelligence (217 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (52 citations) and Computer Networks and Communications (69 citations). Peter Wild has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Keith M. Martin, Julian M. Crampton, Simon R. Blackburn⋆, Chris J. Mitchell, Reihaneh Safavi–Naini, Wen‐Ai Jackson, Jing Wang, Earle Williams, Lindsay Paterson and Michael J. Walker. Their work appears in journals such as Designs Codes and Cryptography, Discrete Mathematics, Electronics Letters, Biometrika and Transportation Research Interdisciplinary Perspectives.

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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