Karsten Peters

14 total papers · 687 total citations
9 papers, 477 citations indexed

About

Karsten Peters is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Karsten Peters has authored 9 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Statistical and Nonlinear Physics and 2 papers in Molecular Biology. Recurrent topics in Karsten Peters's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Gene Regulatory Network Analysis (2 papers). Karsten Peters is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Gene Regulatory Network Analysis (2 papers). Karsten Peters collaborates with scholars based in Germany, Hungary and Slovakia. Karsten Peters's co-authors include Dirk Helbing, Ľuboš Buzna, Ingve Simonsen, Stefan Bornholdt, Christian Kühnert, Stefan Lämmer, Hiroshi Kori, Ulrich Parlitz, Ralf Heinrich and Anders Johansson and has published in prestigious journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications and International Journal of Bifurcation and Chaos.

In The Last Decade

Karsten Peters

9 papers receiving 453 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karsten Peters	264	143	95	74	45	9	477
Xueming Liu	256 1.0×	86 0.6×	119 1.3×	41 0.6×	46 1.0×	25	490
Swami Iyer	213 0.8×	87 0.6×	36 0.4×	21 0.3×	90 2.0×	10	420
Åke J. Holmgren	146 0.6×	101 0.7×	245 2.6×	157 2.1×	33 0.7×	8	465
Ashwin Arulselvan	145 0.5×	155 1.1×	76 0.8×	28 0.4×	14 0.3×	21	448
Antonio Majdandzic	226 0.9×	81 0.6×	47 0.5×	14 0.2×	44 1.0×	10	406
Oriol Artime	225 0.9×	60 0.4×	37 0.4×	24 0.3×	80 1.8×	21	446
Eugenio Gutiérrez	90 0.3×	37 0.3×	310 3.3×	51 0.7×	63 1.4×	13	498
Gaihua Fu	39 0.1×	42 0.3×	116 1.2×	41 0.6×	27 0.6×	15	411
G. Mukherjee	348 1.3×	70 0.5×	27 0.3×	8 0.1×	15 0.3×	16	517
Huimin Huang	178 0.7×	53 0.4×	7 0.1×	51 0.7×	41 0.9×	22	432

Countries citing papers authored by Karsten Peters

Since Specialization

Citations

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

Fields of papers citing papers by Karsten Peters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Peters

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

All Works

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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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