Johannes Schropp

56 total papers · 722 total citations
42 papers, 519 citations indexed

About

Johannes Schropp is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Johannes Schropp has authored 42 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 13 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Johannes Schropp's work include Numerical methods for differential equations (12 papers), Receptor Mechanisms and Signaling (9 papers) and Differential Equations and Numerical Methods (6 papers). Johannes Schropp is often cited by papers focused on Numerical methods for differential equations (12 papers), Receptor Mechanisms and Signaling (9 papers) and Differential Equations and Numerical Methods (6 papers). Johannes Schropp collaborates with scholars based in Germany, Switzerland and United States. Johannes Schropp's co-authors include Gilbert Koch, Gëzim Lahu, Antje‐Christine Walz, Ivan Singer, William J. Jusko, Erich Bohl, Philipp Maass, Bernd Rinn, W. Dieterich and Dhaval K. Shah and has published in prestigious journals such as Computer Physics Communications, Journal of Theoretical Biology and SIAM Journal on Numerical Analysis.

In The Last Decade

Johannes Schropp

38 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Johannes Schropp 134 118 112 82 81 42 519
Ken Hayami 186 1.4× 150 1.3× 18 0.2× 11 0.1× 8 0.1× 39 547
A. Durán 100 0.7× 122 1.0× 73 0.7× 13 0.2× 9 0.1× 49 500
Bengong Zhang 147 1.1× 22 0.2× 181 1.6× 7 0.1× 105 1.3× 46 597
Wolfgang Gröbner 29 0.2× 48 0.4× 153 1.4× 10 0.1× 18 0.2× 57 614
Kenneth L. Ho 120 0.9× 18 0.2× 166 1.5× 45 0.5× 21 0.3× 19 526
Xiaoshan Chen 68 0.5× 23 0.2× 77 0.7× 9 0.1× 21 0.3× 54 456
Michael M. Tung 62 0.5× 43 0.4× 101 0.9× 3 0.0× 109 1.3× 35 571
Ernesto E. Prudencio 100 0.7× 33 0.3× 16 0.1× 11 0.1× 42 0.5× 28 602
Erich Bohl 181 1.4× 137 1.2× 70 0.6× 69 0.8× 94 1.2× 49 573
Klemens Fellner 161 1.2× 41 0.3× 69 0.6× 8 0.1× 15 0.2× 38 605

Countries citing papers authored by Johannes Schropp

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Schropp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Schropp

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Schropp. A scholar is included among the top collaborators of Johannes Schropp 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 Johannes Schropp. Johannes Schropp 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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