Stefán Péter

588 citations
19 papers · 454 · h-index 8

Impact in

Papers in

Stefán Péter

17 papers receiving 440 citations

Peers

Stefán Péter
Comparison fields: 5 of 92
  • Cancer Research 185
  • Industrial and Manufacturing Engineering 54
  • Endocrine and Autonomic Systems 26
  • Molecular Biology 232
  • Cellular and Molecular Neuroscience 53
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Changyi Li China
Jean-François Jasmin United States
Stephen Hague United Kingdom
Abhijit Joshi India
Eric C. Sorenson United States
Jinil Han South Korea
Daniel P. Fitzgerald United States
Lihui Lü China
Ana Belén Nieto Librero Spain
K Matsuzaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Stefán Péter

Since Specialization
Citations

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

Fields of papers citing papers by Stefán Péter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014189
2 199081
3 201449
4 201449
5 201421
6 201415
7
Modellierung einer vollständig auf erneuerbaren Energien basierenden Stromerzeugung im Jahr 2050 in autarken, dezentralen Strukturen
201311
8
FLOW-SHOP SCHEDULING BASED ON REINFORCEMENT LEARNING ALGORITHM
20038
9 20226
10
Reinforcement learning for solving shortest-path and dynamic scheduling problems
20015
11 20005
12 20124
13
Combined Use of Reinforcement Learning and Simulated Annealing: Algorithms and Applications
20093
14 20122
15 20002
16
Reinforcement learning methods in information engineering
20001
17 20071
18 20131
19 20141

About Stefán Péter

Stefán Péter is a scholar working on Molecular Biology, Cancer Research, Industrial and Manufacturing Engineering, Surgery and Computer Networks and Communications, having authored 19 papers that have together received 454 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (3 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Cancer-related molecular mechanisms research (2 papers), Reinforcement Learning in Robotics (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Cancer Research (185 citations), Industrial and Manufacturing Engineering (54 citations), Endocrine and Autonomic Systems (26 citations), Molecular Biology (232 citations) and Cellular and Molecular Neuroscience (53 citations). Stefán Péter has collaborated with scholars based in United Kingdom, Germany and Hungary. Frequent co-authors include James W.F. Catto, Ross M. Drayton, Ewa Dudziec, Helen E. Bryant, Simone Bertz, Arndt Hartmann, Wolfgang Kummer, Vimal Kapoor, Ian L. Gibbins and Jürgen Gausemeier. Their work appears in journals such as Clinical Cancer Research, Biotechnology Letters, Breast Cancer Research and Treatment, Cell and Tissue Research and Oncotarget.

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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