Hanno Gottschalk

232 total papers · 1.1k total citations
60 papers, 456 citations indexed

About

Hanno Gottschalk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Hanno Gottschalk has authored 60 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Hanno Gottschalk's work include Fatigue and fracture mechanics (7 papers), Black Holes and Theoretical Physics (7 papers) and Advanced Neural Network Applications (6 papers). Hanno Gottschalk is often cited by papers focused on Fatigue and fracture mechanics (7 papers), Black Holes and Theoretical Physics (7 papers) and Advanced Neural Network Applications (6 papers). Hanno Gottschalk collaborates with scholars based in Germany, Switzerland and Tunisia. Hanno Gottschalk's co-authors include Matthias Rottmann, Sergio Albeverio, Robin Chan, Jiang-Lun Wu, Sebastian Schmitz, Tilmann Beck, G. Rollmann, Britta Stumpe, Francesca di Mare and Rolf Krause and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and IEEE Access.

In The Last Decade

Hanno Gottschalk

53 papers receiving 439 citations

Author Peers

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

Author Last Decade Papers Cites
Hanno Gottschalk 107 104 75 74 57 60 456
Sergey Voronin 75 0.7× 35 0.3× 51 0.7× 30 0.4× 16 0.3× 54 540
Maria Emelianenko 73 0.7× 29 0.3× 59 0.8× 34 0.5× 11 0.2× 30 457
Cristina Turner 35 0.3× 85 0.8× 25 0.3× 68 0.9× 42 0.7× 29 521
Christian Gout 214 2.0× 29 0.3× 37 0.5× 102 1.4× 15 0.3× 52 544
E.M. Oblow 43 0.4× 78 0.8× 54 0.7× 30 0.4× 12 0.2× 51 539
Michael P. Lamoureux 96 0.9× 42 0.4× 77 1.0× 48 0.6× 28 0.5× 40 545
Giuliano Laccetti 56 0.5× 46 0.4× 23 0.3× 24 0.3× 15 0.3× 46 429
Luisa D’Amore 48 0.4× 57 0.5× 29 0.4× 37 0.5× 34 0.6× 56 465
Hui Yin 172 1.6× 23 0.2× 134 1.8× 33 0.4× 39 0.7× 40 484
Shuangcheng Sun 21 0.2× 45 0.4× 128 1.7× 107 1.4× 104 1.8× 37 543

Countries citing papers authored by Hanno Gottschalk

Since Specialization
Citations

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

Fields of papers citing papers by Hanno Gottschalk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanno Gottschalk

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026