Albrecht Petzoldt
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rongxing LuTsuyoshi TakagiCheng ChiJíntai DingJohannes BuchmannStanislav BulyginDieter SchmidtHong Xiang
- Topics
- Polynomial and algebraic computation (7 papers)Coding theory and cryptography (6 papers)Cryptography and Residue Arithmetic (4 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Albrecht Petzoldt
8 papers receiving 264 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 183
- Information Systems 89
- Electrical and Electronic Engineering 75
- Computer Networks and Communications 72
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Albrecht Petzoldt
This map shows the geographic impact of Albrecht Petzoldt'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 Albrecht Petzoldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albrecht Petzoldt more than expected).
Fields of papers citing papers by Albrecht Petzoldt
This network shows the impact of papers produced by Albrecht Petzoldt. 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 Albrecht Petzoldt. The network helps show where Albrecht Petzoldt may publish in the future.
Co-authorship network of co-authors of Albrecht Petzoldt
This figure shows the co-authorship network connecting the top 25 collaborators of Albrecht Petzoldt. A scholar is included among the top collaborators of Albrecht Petzoldt 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 Albrecht Petzoldt. Albrecht Petzoldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 0 | |
| 3 | 61 | |
| 4 | 160 | |
| 5 | Design Principles for HFEv- based Signature Schemes | 3 |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | Small private keys for systems of multivariate quadratic equations using symmetric cryptography | 3 |
| 10 | A Multivariate Signature Scheme with a Partially Cyclic Public Key | 6 |
About Albrecht Petzoldt
Albrecht Petzoldt is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 10 papers that have together received 283 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (7 papers), Coding theory and cryptography (6 papers) and Cryptography and Residue Arithmetic (4 papers). The work is most often cited by research in Artificial Intelligence (183 citations), Information Systems (89 citations) and Computational Theory and Mathematics (54 citations). Albrecht Petzoldt has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Rongxing Lu, Tsuyoshi Takagi, Cheng Chi, Jíntai Ding, Johannes Buchmann, Stanislav Bulygin, Dieter Schmidt, Hong Xiang, Renato Portugal and Xuyun Nie. Their work appears in journals such as IEEE Communications Magazine, IEEE Security & Privacy and Finite Fields and Their Applications.
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.