Michael Gerstenberger

510 total citations · 1 hit paper
3 papers, 303 citations indexed

About

Michael Gerstenberger is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Environmental Engineering. According to data from OpenAlex, Michael Gerstenberger has authored 3 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Environmental Engineering. Recurrent topics in Michael Gerstenberger's work include Functional Brain Connectivity Studies (1 paper), Neural dynamics and brain function (1 paper) and Smart Agriculture and AI (1 paper). Michael Gerstenberger is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Neural dynamics and brain function (1 paper) and Smart Agriculture and AI (1 paper). Michael Gerstenberger collaborates with scholars based in Germany. Michael Gerstenberger's co-authors include Felix Schreiber, Peter König, Anne Lang, Artur Czeszumski, Martin Steinhart, Juliana Martins de Souza e Silva, Ralf B. Wehrspohn, Patrick Huber, Peter Eisert and Sebastian Bosse and has published in prestigious journals such as The Journal of Physical Chemistry C, Frontiers in Human Neuroscience and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Michael Gerstenberger

3 papers receiving 301 citations

Hit Papers

Hyperscanning: A Valid Method to Study Neural Inter-brain... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gerstenberger Germany 2 225 138 42 29 24 3 303
Felix Schreiber Germany 2 225 1.0× 140 1.0× 43 1.0× 29 1.0× 24 1.0× 7 307
Anne Lang Germany 5 225 1.0× 148 1.1× 42 1.0× 30 1.0× 24 1.0× 12 326
Artur Czeszumski Germany 7 322 1.4× 221 1.6× 73 1.7× 33 1.1× 39 1.6× 11 445
Bei Song China 6 218 1.0× 124 0.9× 45 1.1× 19 0.7× 25 1.0× 7 275
Anna Zumbansen Canada 10 250 1.1× 115 0.8× 24 0.6× 25 0.9× 26 1.1× 18 314
Anna Gaglianese Netherlands 8 217 1.0× 64 0.5× 26 0.6× 54 1.9× 26 1.1× 15 302
Michał Kuniecki Poland 10 239 1.1× 97 0.7× 91 2.2× 15 0.5× 7 0.3× 25 354
Fanny Lachat France 6 239 1.1× 129 0.9× 34 0.8× 12 0.4× 36 1.5× 6 280
Haemy Lee Masson Belgium 11 245 1.1× 122 0.9× 89 2.1× 14 0.5× 32 1.3× 22 315
Paul S. Muhle-Karbe United Kingdom 13 376 1.7× 63 0.5× 59 1.4× 15 0.5× 23 1.0× 17 424

Countries citing papers authored by Michael Gerstenberger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gerstenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gerstenberger

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

All Works

3 of 3 papers shown
1.
Gerstenberger, Michael, et al.. (2023). A Differentiable Gaussian Prototype Layer for Explainable Fruit Segmentation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2665–2669. 1 indexed citations
2.
Gerstenberger, Michael, et al.. (2021). Statistical Analysis of Submicron X-ray Tomography Data on Polymer Imbibition into Arrays of Cylindrical Nanopores. The Journal of Physical Chemistry C. 125(48). 26731–26743. 5 indexed citations
3.
Czeszumski, Artur, et al.. (2020). Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction. Frontiers in Human Neuroscience. 14. 39–39. 297 indexed citations breakdown →

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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