Ferdinand Peper

2.1k total citations
99 papers, 977 citations indexed

About

Ferdinand Peper is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Ferdinand Peper has authored 99 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computational Theory and Mathematics, 41 papers in Electrical and Electronic Engineering and 24 papers in Computer Networks and Communications. Recurrent topics in Ferdinand Peper's work include Cellular Automata and Applications (47 papers), Quantum-Dot Cellular Automata (25 papers) and Advanced Memory and Neural Computing (23 papers). Ferdinand Peper is often cited by papers focused on Cellular Automata and Applications (47 papers), Quantum-Dot Cellular Automata (25 papers) and Advanced Memory and Neural Computing (23 papers). Ferdinand Peper collaborates with scholars based in Japan, China and United States. Ferdinand Peper's co-authors include Nobuyuki Matsui, Jia Lee, H. Nishimura, Susumu Adachi, Teijiro Isokawa, Shinro Mashiko, Kenichi Morita, László B. Kish, Kenji Leibnitz and Anirban Bandyopadhyay and has published in prestigious journals such as Nature Physics, IEEE Access and Information Sciences.

In The Last Decade

Ferdinand Peper

91 papers receiving 927 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ferdinand Peper Japan 15 375 353 305 257 146 99 977
Didier Keymeulen United States 17 153 0.4× 446 1.3× 685 2.2× 82 0.3× 98 0.7× 92 1.1k
John A. Gunnels United States 23 186 0.5× 162 0.5× 229 0.8× 653 2.5× 50 0.3× 58 1.3k
Kui Cai Singapore 21 446 1.2× 631 1.8× 368 1.2× 1.0k 3.9× 455 3.1× 193 1.6k
Sergio Callegari Italy 15 324 0.9× 297 0.8× 184 0.6× 80 0.3× 70 0.5× 65 1.0k
Radu Dogaru Romania 15 268 0.7× 240 0.7× 301 1.0× 376 1.5× 84 0.6× 116 845
Yoshifumi Nishio Japan 16 135 0.4× 310 0.9× 278 0.9× 469 1.8× 43 0.3× 329 1.1k
Masami Itō Japan 18 284 0.8× 97 0.3× 218 0.7× 141 0.5× 131 0.9× 159 1.5k
Takahiro Inagaki Japan 14 152 0.4× 667 1.9× 1.2k 4.1× 136 0.5× 46 0.3× 55 1.7k
Ronghua Shi China 16 155 0.4× 202 0.6× 563 1.8× 86 0.3× 32 0.2× 116 1.0k
Paul K. Stockmeyer United States 10 334 0.9× 189 0.5× 125 0.4× 117 0.5× 31 0.2× 25 708

Countries citing papers authored by Ferdinand Peper

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Peper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Peper

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand Peper. A scholar is included among the top collaborators of Ferdinand Peper 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 Ferdinand Peper. Ferdinand Peper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Utsumi, Yasuhiro, Dmitry S. Golubev, & Ferdinand Peper. (2023). Thermodynamic cost of Brownian computers in the stochastic thermodynamics of resetting. The European Physical Journal Special Topics. 232(20-22). 3259–3265. 2 indexed citations
2.
Nakamura, Atsushi, et al.. (2023). Performance evaluation of CSS-APCMA for massive IoT using GNU Radio/USRP. IEICE Communications Express. 12(4). 120–125. 3 indexed citations
3.
Li, Aohan, et al.. (2021). Performance evaluation of pulse-based multiplexing protocol implemented on massive IoT devices. Nonlinear Theory and Its Applications IEICE. 12(4). 726–737. 3 indexed citations
4.
Nomura, Hikaru, Ferdinand Peper, Eiiti Tamura, et al.. (2018). Reservoir computing with dipole coupled nanomagnets array. arXiv (Cornell University). 1 indexed citations
5.
Peper, Ferdinand, Kenji Leibnitz, Mikio Hasegawa, & Naoki Wakamiya. (2018). Spike-based Communication Networks with Error Correcting Capability. 25(4). 157–164. 6 indexed citations
6.
Isokawa, Teijiro, et al.. (2016). Universal totalistic asynchonous cellular automaton and its possible implementation by DNA. Lecture notes in computer science. 9726. 182–195. 1 indexed citations
7.
Lee, Jia, Ferdinand Peper, Sorin Cotöfană, et al.. (2016). Brownian Circuits: Designs.. International journal of unconventional computing. 12. 341–362. 7 indexed citations
8.
Leibnitz, Kenji, Tetsuya Shimokawa, Ferdinand Peper, & Masayuki Murata. (2013). Maximum entropy based randomized routing in data-centric networks. 1–6. 2 indexed citations
9.
Mingesz, Róbert, László B. Kish, Zoltán Gingl, et al.. (2013). Unconditional Security by the Laws of Classical Physics. Metrology and Measurement Systems. 20(1). 3–16. 29 indexed citations
10.
Huang, Xin, et al.. (2013). Self-adaptive self-reproductions in cellular automata. Physica D Nonlinear Phenomena. 263. 11–20. 3 indexed citations
11.
Kish, László B., Sunil P. Khatri, Sergey M. Bezrukov, et al.. (2011). Noise-based deterministic logic and computing: A brief survey. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7. 101–113.
12.
Peper, Ferdinand, Jia Lee, & Teijiro Isokawa. (2010). Brownian Cellular Automata.. 5. 185–206. 6 indexed citations
13.
Isokawa, Teijiro, et al.. (2006). Construction universality in purely asynchronous cellular automata. Journal of Computer and System Sciences. 72(8). 1368–1385. 4 indexed citations
14.
Adachi, Susumu, Jia Lee, & Ferdinand Peper. (2004). On Signals in Asynchronous Cellular Spaces. IEICE Transactions on Information and Systems. 87(3). 657–668. 7 indexed citations
15.
Lee, Jia, Susumu Adachi, Ferdinand Peper, & Shinro Mashiko. (2004). Delay-insensitive computation in asynchronous cellular automata. Journal of Computer and System Sciences. 70(2). 201–220. 17 indexed citations
16.
Lee, Jia, Susumu Adachi, Ferdinand Peper, & Kenichi Morita. (2003). Embedding universal delay-insensitive circuits in asynchronous cellular spaces. Fundamenta Informaticae. 58(3). 295–320. 23 indexed citations
18.
Peper, Ferdinand & Hideki Noda. (1996). A symmetric linear neural network that learns principal components and their variances. IEEE Transactions on Neural Networks. 7(4). 1042–1047. 7 indexed citations
19.
Peper, Ferdinand & Hideki Noda. (1994). Controling the Learning Rates of Neural Networks by Their Weight Vector Lengths. International Conference on Neural Information Processing. 3(1). 767–771. 1 indexed citations
20.
Peper, Ferdinand, et al.. (1993). A Generalized Unsupervised Competitive Learning Scheme. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 76(5). 834–841. 4 indexed citations

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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