Peter C. Richter

552 total citations
9 papers, 145 citations indexed

About

Peter C. Richter is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Peter C. Richter has authored 9 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 1 paper in Surgery. Recurrent topics in Peter C. Richter's work include Quantum Computing Algorithms and Architecture (6 papers), Machine Learning and Algorithms (4 papers) and Quantum-Dot Cellular Automata (3 papers). Peter C. Richter is often cited by papers focused on Quantum Computing Algorithms and Architecture (6 papers), Machine Learning and Algorithms (4 papers) and Quantum-Dot Cellular Automata (3 papers). Peter C. Richter collaborates with scholars based in United States, Canada and France. Peter C. Richter's co-authors include Frédéric Magniez, Miklós Sántha, Ashwin Nayak, Gary L. Miller, Jan Kulig, M. Valens, Jean Génermont, D. Gripois, Tadeusz Popiela and Márió Szegedy and has published in prestigious journals such as Physical Review A, New Journal of Physics and Journal of the Autonomic Nervous System.

In The Last Decade

Peter C. Richter

8 papers receiving 139 citations

Peers

Peter C. Richter
Comparison fields: 5 of 24
  • Artificial Intelligence 130
  • Computational Theory and Mathematics 74
  • Atomic and Molecular Physics, and Optics 54
  • Statistics and Probability 12
  • Computer Networks and Communications 5
Replace Sarvagya Upadhyay with:
Sarvagya Upadhyay United States
Srinivasan Arunachalam Netherlands
Kazuyuki Amano Japan
Mehdi Mhalla France
Sander Gribling Netherlands
Niel de Beaudrap United Kingdom
Chunhao Wang United States
M. Sohaib Alam United States
Gorjan Alagic United States
Gael Sentís Spain
Sarvagya Upadhyay United States View profile →
Citations per field, relative to Peter C. Richter
Peter C. Richter · 1×
Citations per year, relative to Peter C. Richter
Peter C. Richter · 1×

Countries citing papers authored by Peter C. Richter

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter C. Richter

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

All Works

9 of 9 papers shown
# Work Indexed citations
1
Quantum Analogs of Markov Chains
1
2 12
3
On the hitting times of quantum versus random walks
42
4 0
5 52
6 2
7 30
8 4
9 2

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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2026