Jeffrey Kelling

481 total citations
28 papers, 322 citations indexed

About

Jeffrey Kelling is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Mathematical Physics. According to data from OpenAlex, Jeffrey Kelling has authored 28 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Condensed Matter Physics and 7 papers in Mathematical Physics. Recurrent topics in Jeffrey Kelling's work include Theoretical and Computational Physics (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Stochastic processes and statistical mechanics (7 papers). Jeffrey Kelling is often cited by papers focused on Theoretical and Computational Physics (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Stochastic processes and statistical mechanics (7 papers). Jeffrey Kelling collaborates with scholars based in Germany, Hungary and Spain. Jeffrey Kelling's co-authors include Géza Ódor, Sibylle Gemming, Artur Erbe, Seham Helmi, Ralf Seidel, Dominik J. Kauert, Gustavo Deco, Peter Zahn, B. Hartmann and I. Papp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Scientific Reports.

In The Last Decade

Jeffrey Kelling

26 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Kelling Germany 10 100 95 77 56 55 28 322
Akihisa Ichiki Japan 12 45 0.5× 36 0.4× 9 0.1× 23 0.4× 38 0.7× 43 375
Abhishek Chaudhuri India 11 90 0.9× 108 1.1× 20 0.3× 134 2.4× 18 0.3× 32 394
Hugues Meyer Germany 10 78 0.8× 42 0.4× 17 0.2× 42 0.8× 9 0.2× 18 314
Oleksii Sliusarenko Ukraine 12 16 0.2× 107 1.1× 18 0.2× 44 0.8× 20 0.4× 20 475
Y. S. Cho South Korea 10 215 2.1× 26 0.3× 191 2.5× 24 0.4× 49 0.9× 20 570
Cheng-Hung Chang Taiwan 10 55 0.6× 23 0.2× 12 0.2× 41 0.7× 14 0.3× 32 279
Jianchun Wu China 11 97 1.0× 47 0.5× 19 0.2× 99 1.8× 6 0.1× 50 390
Gemma De las Cuevas Austria 8 59 0.6× 19 0.2× 3 0.0× 92 1.6× 9 0.2× 24 410
Saroj Kumar Nandi India 11 172 1.7× 87 0.9× 6 0.1× 49 0.9× 18 0.3× 27 354
Saurish Chakrabarty United States 12 125 1.3× 11 0.1× 7 0.1× 27 0.5× 21 0.4× 15 303

Countries citing papers authored by Jeffrey Kelling

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Kelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Kelling

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Kelling. A scholar is included among the top collaborators of Jeffrey Kelling 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 Jeffrey Kelling. Jeffrey Kelling 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.
Jordan, Norbert, Frank Heberling, Jeffrey Kelling, & Johannes Lützenkirchen. (2025). History, Algorithms, Model Uncertainty, and Common Pitfalls of Traditional SCM Fitting Procedures. Reviews in Mineralogy and Geochemistry. 91A(1). 383–411. 1 indexed citations
2.
Jordan, Norbert, et al.. (2024). A critical review of the solution chemistry, solubility, and thermodynamics of europium: Recent advances on the Eu(III) hydrolysis. Coordination Chemistry Reviews. 510. 215702–215702. 10 indexed citations
3.
Hartmann, B., et al.. (2024). Dynamical heterogeneity and universality of power-grids. Sustainable Energy Grids and Networks. 39. 101491–101491. 4 indexed citations
4.
Ódor, Géza, et al.. (2024). Frustrated Synchronization of the Kuramoto Model on Complex Networks. Entropy. 26(12). 1074–1074.
5.
Ódor, Géza, et al.. (2023). Synchronization transitions on connectome graphs with external force. Frontiers in Physics. 11. 5 indexed citations
6.
Hartmann, B., et al.. (2023). Revisiting and Modeling Power-Law Distributions in Empirical Outage Data of Power Systems. SHILAP Revista de lepidopterología. 2(3). 2 indexed citations
7.
Günther, Florian, Jeffrey Kelling, Peter Zahn, et al.. (2023). Stretch Evolution of Electronic Coupling of the Thiophenyl Anchoring Group with Gold in Mechanically Controllable Break Junctions. The Journal of Physical Chemistry Letters. 14(24). 5709–5717. 2 indexed citations
8.
Windisch, Dominic, Jeffrey Kelling, Guido Juckeland, & André Bieberle. (2023). Real-time data processing for ultrafast X-ray computed tomography using modular CUDA based pipelines. Computer Physics Communications. 287. 108719–108719. 3 indexed citations
9.
Ódor, Géza, et al.. (2022). Synchronization dynamics on power grids in Europe and the United States. Physical review. E. 106(3). 34311–34311. 9 indexed citations
10.
Ódor, Géza, Gustavo Deco, & Jeffrey Kelling. (2022). Differences in the critical dynamics underlying the human and fruit-fly connectome. Physical Review Research. 4(2). 10 indexed citations
11.
Kelling, Jeffrey, Robin Ohmann, Jörg Meyer, et al.. (2021). Describing chain-like assembly of ethoxygroup-functionalized organic molecules on Au(111) using high-throughput simulations. Scientific Reports. 11(1). 14649–14649. 2 indexed citations
12.
Kelling, Jeffrey, et al.. (2021). Fabrication and temperature-dependent electrical characterization of a C-shape nanowire patterned by a DNA origami. Scientific Reports. 11(1). 1922–1922. 11 indexed citations
13.
Huebl, Axel, René Widera, Richard Pausch, et al.. (2020). PIConGPU 0.5.0: Perfectly Matched Layer (PML) and Bug Fixes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Ódor, Géza & Jeffrey Kelling. (2019). Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs. Scientific Reports. 9(1). 19621–19621. 30 indexed citations
15.
Helmi, Seham, et al.. (2018). DNA-Mold Templated Assembly of Conductive Gold Nanowires. Nano Letters. 18(3). 2116–2123. 94 indexed citations
16.
Kelling, Jeffrey, Peter Zahn, Jörg Schuster, & Sibylle Gemming. (2017). Elastic and piezoresistive properties of nickel carbides from first principles. Physical review. B.. 95(2). 9 indexed citations
17.
Kelling, Jeffrey, Géza Ódor, & Sibylle Gemming. (2016). Universality of (2+1)-dimensional restricted solid-on-solid models. Physical review. E. 94(2). 22107–22107. 16 indexed citations
18.
Ódor, Géza, Jeffrey Kelling, & Sibylle Gemming. (2014). Aging of the (2+1)-dimensional Kardar-Parisi-Zhang model. Physical Review E. 89(3). 32146–32146. 15 indexed citations
19.
20.
Kelling, Jeffrey & Géza Ódor. (2011). Extremely large-scale simulation of a Kardar-Parisi-Zhang model using graphics cards. Physical Review E. 84(6). 61150–61150. 61 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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