Maximilian Scherer

709 total citations
27 papers, 438 citations indexed

About

Maximilian Scherer is a scholar working on Computer Vision and Pattern Recognition, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Maximilian Scherer has authored 27 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Neurology and 8 papers in Cognitive Neuroscience. Recurrent topics in Maximilian Scherer's work include Neurological disorders and treatments (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Neuroscience and Neural Engineering (5 papers). Maximilian Scherer is often cited by papers focused on Neurological disorders and treatments (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Neuroscience and Neural Engineering (5 papers). Maximilian Scherer collaborates with scholars based in Germany, Canada and Chile. Maximilian Scherer's co-authors include Tobias Schreck, Sang Min Yoon, Arjan Kuijper, Jürgen Bernard, Luka Milosevic, Benjamín Bustos, Michael Walter, Tanja Schultz, Felix Putze and Robert Guggenberger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Maximilian Scherer

26 papers receiving 429 citations

Peers

Maximilian Scherer

CVPR

NEURO

CMN

Kunihiro Chihara Japan

Reji Mathew Australia

Kyle Olszewski United States

Michael P. McLoughlin United States

Thomas Sporer Germany

Verónica Medina-Bañuelos Mexico

Lan Ma China

Matteo Tomasi United States

Kyuwan Choi Japan

Lijun Yin United States

Kunihiro Chihara Japan

Maximilian Scherer

142 ×0.6

CVPR

27 ×0.2

13 ×0.1

NEURO

61 ×0.8

CMN

31 ×0.5

Citations per year, relative to Maximilian Scherer Maximilian Scherer (= 1×) peers Kunihiro Chihara

Countries citing papers authored by Maximilian Scherer

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Scherer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Scherer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nuamah, Joseph, et al.. (2025). EEG-Based Classification of Parkinson’s Disease With Freezing of Gait Using Midfrontal Beta Oscillations. Journal of Integrative Neuroscience. 24(6). 39023–39023.

Gharabaghi, Alireza, et al.. (2024). Randomized crossover trial on motor and non-motor outcome of directional deep brain stimulation in Parkinson’s disease. npj Parkinson s Disease. 10(1). 204–204. 3 indexed citations

Steiner, Leon A, Artur Vetkas, Jürgen Germann, et al.. (2024). Neural signatures of indirect pathway activity during subthalamic stimulation in Parkinson’s disease. Nature Communications. 15(1). 3130–3130. 15 indexed citations

Scherer, Maximilian, Irene E. Harmsen, Nardin Samuel, et al.. (2023). Oscillatory network markers of subcallosal cingulate deep brain stimulation for depression. Brain stimulation. 16(6). 1764–1775. 4 indexed citations

Steiner, Leon A, Artur Vetkas, Jürgen Germann, et al.. (2023). Recruitment of the indirect pathway by subthalamic deep brain stimulation. Brain stimulation. 16(1). 402–402. 1 indexed citations

Scherer, Maximilian, Tianlu Wang, Robert Guggenberger, Luka Milosevic, & Alireza Gharabaghi. (2022). FiNN: A toolbox for neurophysiological network analysis. Network Neuroscience. 6(4). 1205–1218. 4 indexed citations

Scherer, Maximilian, Tianlu Wang, Robert Guggenberger, Luka Milosevic, & Alireza Gharabaghi. (2022). Direct modulation index: A measure of phase amplitude coupling for neurophysiology data. Human Brain Mapping. 44(5). 1862–1867. 5 indexed citations

Porz, Lukas, Daniel Knez, Maximilian Scherer, et al.. (2021). Dislocations in ceramic electrolytes for solid-state Li batteries. Scientific Reports. 11(1). 8949–8949. 22 indexed citations

Scherer, Maximilian, Luka Milosevic, Robert Guggenberger, et al.. (2020). Desynchronization of temporal lobe theta-band activity during effective anterior thalamus deep brain stimulation in epilepsy. NeuroImage. 218. 116967–116967. 27 indexed citations

10.

Scherer, Maximilian, et al.. (2018). A multivariate investigation into the relationship between pharmaceutical characteristics and patient preferences of bioequivalent ibuprofen tablets. Patient Preference and Adherence. Volume 12. 1927–1935. 10 indexed citations

11.

Scherer, Maximilian, et al.. (2016). From Handwritten Text to Structured Data: Alternatives to Editing Large Archival Series. Data Archiving and Networked Services (DANS). 680–682. 1 indexed citations

12.

Putze, Felix, Maximilian Scherer, & Tanja Schultz. (2016). Starring into the void?. 1–4. 23 indexed citations

13.

Behrisch, Michael, Tobias Schreck, Tatiana von Landesberger, et al.. (2014). Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces. TUbilio (Technical University of Darmstadt). 19–23. 16 indexed citations

14.

Bernard, Jürgen, et al.. (2012). TimeSeriesPaths : Projection-Based Explorative Analysis of Multivariate Time Series Data. KOPS (University of Konstanz). 20(2). 97–106. 29 indexed citations

15.

Bernard, Jürgen, et al.. (2012). Content-based layouts for exploratory metadata search in scientific research data. KOPS (University of Konstanz). 139–148. 19 indexed citations

16.

Schreck, Tobias, Afzal Godil, Marc Alexa, et al.. (2012). SHREC'12 Track: Sketch-Based 3D Shape Retrieval. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 28 indexed citations

17.

Bustos, Benjamín, et al.. (2012). Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 21 indexed citations

18.

Saavedra, José M., Benjamín Bustos, Maximilian Scherer, & Tobias Schreck. (2011). STELA. KOPS (University of Konstanz). 1–8. 23 indexed citations

19.

Scherer, Maximilian, Michael Walter, & Tobias Schreck. (2010). Histograms of Oriented Gradients for 3D Object Retrieval. Digital Library (University of West Bohemia). 41–48. 24 indexed citations

20.

Yoon, Sang Min, Maximilian Scherer, Tobias Schreck, & Arjan Kuijper. (2010). Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 193–200. 73 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.

Explore authors with similar magnitude of impact