Björn Kralemann

775 total citations
8 papers, 532 citations indexed

About

Björn Kralemann is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Björn Kralemann has authored 8 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Cognitive Neuroscience and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Björn Kralemann's work include Nonlinear Dynamics and Pattern Formation (7 papers), Neural dynamics and brain function (5 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Björn Kralemann is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (7 papers), Neural dynamics and brain function (5 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Björn Kralemann collaborates with scholars based in Germany and Russia. Björn Kralemann's co-authors include Arkady Pikovsky, Michael Rosenblum, Michael G. Rosenblum, Laura Cimponeriu, Ralf Mrowka, Matthias Frühwirth, Thomas Kenner, Jochen Schaefer, M. Moser and Justus T. C. Schwabedal and has published in prestigious journals such as Nature Communications, New Journal of Physics and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Björn Kralemann

8 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn Kralemann Germany 8 293 279 153 69 62 8 532
Laura Cimponeriu Greece 9 409 1.4× 259 0.9× 165 1.1× 111 1.6× 149 2.4× 14 687
Carsten Schäfer Germany 3 247 0.8× 156 0.6× 112 0.7× 77 1.1× 149 2.4× 14 487
Spase Petkoski France 17 666 2.3× 240 0.9× 127 0.8× 82 1.2× 48 0.8× 32 862
Stewart Heitmann Australia 11 421 1.4× 205 0.7× 89 0.6× 80 1.2× 40 0.6× 18 608
Ricardo Gutiérrez Spain 18 489 1.7× 498 1.8× 484 3.2× 68 1.0× 19 0.3× 45 1.3k
Tobias Wagner Germany 13 610 2.1× 102 0.4× 81 0.5× 27 0.4× 31 0.5× 18 809
Benedetta Franceschiello Switzerland 8 306 1.0× 103 0.4× 293 1.9× 54 0.8× 27 0.4× 12 812
Kevin Dolan Germany 11 393 1.3× 140 0.5× 176 1.2× 20 0.3× 14 0.2× 17 604
Stephan Bialonski Germany 16 705 2.4× 154 0.6× 185 1.2× 27 0.4× 23 0.4× 22 937
Paul C. Gailey United States 9 153 0.5× 84 0.3× 176 1.2× 25 0.4× 16 0.3× 16 403

Countries citing papers authored by Björn Kralemann

Since Specialization
Citations

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

Fields of papers citing papers by Björn Kralemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Kralemann

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

All Works

8 of 8 papers shown
1.
Kralemann, Björn, Arkady Pikovsky, & Michael G. Rosenblum. (2014). Reconstructing effective phase connectivity of oscillator networks from observations. New Journal of Physics. 16(8). 85013–85013. 52 indexed citations
2.
Kralemann, Björn, Arkady Pikovsky, & Michael Rosenblum. (2013). Detecting triplet locking by triplet synchronization indices. Physical Review E. 87(5). 52904–52904. 13 indexed citations
3.
Kralemann, Björn, Matthias Frühwirth, Arkady Pikovsky, et al.. (2013). In vivo cardiac phase response curve elucidates human respiratory heart rate variability. Nature Communications. 4(1). 2418–2418. 109 indexed citations
4.
Schwabedal, Justus T. C., Arkady Pikovsky, Björn Kralemann, & Michael Rosenblum. (2012). Optimal phase description of chaotic oscillators. Physical Review E. 85(2). 26216–26216. 24 indexed citations
5.
Kralemann, Björn, et al.. (2012). Models as icons: modeling models in the semiotic framework of Peirce’s theory of signs. Synthese. 190(16). 3397–3420. 32 indexed citations
6.
Kralemann, Björn, Arkady Pikovsky, & Michael Rosenblum. (2011). Reconstructing phase dynamics of oscillator networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 21(2). 25104–25104. 66 indexed citations
7.
Kralemann, Björn, Laura Cimponeriu, Michael Rosenblum, Arkady Pikovsky, & Ralf Mrowka. (2008). Phase dynamics of coupled oscillators reconstructed from data. Physical Review E. 77(6). 66205–66205. 160 indexed citations
8.
Kralemann, Björn, Laura Cimponeriu, Michael G. Rosenblum, Arkady Pikovsky, & Ralf Mrowka. (2007). Uncovering interaction of coupled oscillators from data. Physical Review E. 76(5). 55201–55201. 76 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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