Jens Habermann

35 total papers · 430 total citations
25 papers, 299 citations indexed

About

Jens Habermann is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Jens Habermann has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Applied Mathematics, 19 papers in Computational Theory and Mathematics and 9 papers in Mathematical Physics. Recurrent topics in Jens Habermann's work include Nonlinear Partial Differential Equations (20 papers), Advanced Mathematical Modeling in Engineering (19 papers) and Numerical methods in inverse problems (8 papers). Jens Habermann is often cited by papers focused on Nonlinear Partial Differential Equations (20 papers), Advanced Mathematical Modeling in Engineering (19 papers) and Numerical methods in inverse problems (8 papers). Jens Habermann collaborates with scholars based in Germany, Italy and Japan. Jens Habermann's co-authors include Michela Eleuteri, Verena Bögelein, Frank Duzaar, Paolo Baroni, Christoph Scheven, Yohei Fujishima, Anna Zatorska‐Goldstein, Juha Kinnunen, Michael Hintermüller and Olivier Huber and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Nonlinear Dynamics.

In The Last Decade

Jens Habermann

24 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
Jens Habermann 292 245 137 26 11 25 299
Teemu Lukkari 296 1.0× 246 1.0× 151 1.1× 24 0.9× 8 0.7× 26 349
Giuseppe Devillanova 258 0.9× 179 0.7× 142 1.0× 28 1.1× 6 0.5× 20 312
Kyril Tintarev 308 1.1× 210 0.9× 180 1.3× 28 1.1× 12 1.1× 28 333
Stefano Biagi 288 1.0× 194 0.8× 142 1.0× 16 0.6× 10 0.9× 42 323
Sami Baraket 284 1.0× 214 0.9× 105 0.8× 48 1.8× 8 0.7× 46 303
Shigeru Sakaguchi 289 1.0× 265 1.1× 119 0.9× 35 1.3× 23 2.1× 52 334
Rüdiger Landes 320 1.1× 289 1.2× 152 1.1× 67 2.6× 7 0.6× 15 359
Anna Zatorska‐Goldstein 214 0.7× 173 0.7× 119 0.9× 8 0.3× 13 1.2× 26 233
Athanase Cotsiolis 295 1.0× 184 0.8× 148 1.1× 24 0.9× 8 0.7× 20 315
Federica Sani 288 1.0× 203 0.8× 163 1.2× 17 0.7× 18 1.6× 13 296

Countries citing papers authored by Jens Habermann

Since Specialization
Citations

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

Fields of papers citing papers by Jens Habermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Habermann

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