Nico M. Schmidt

800 total citations
24 papers, 532 citations indexed

About

Nico M. Schmidt is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Nico M. Schmidt has authored 24 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 8 papers in Artificial Intelligence. Recurrent topics in Nico M. Schmidt's work include EEG and Brain-Computer Interfaces (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nico M. Schmidt is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nico M. Schmidt collaborates with scholars based in Germany, Switzerland and Australia. Nico M. Schmidt's co-authors include Benjamin Blankertz, Matthias S. Treder, Ali Bahramisharif, Marcel van Gerven, Tim Fingscheidt, Jochen Ranger, Anett Wolgast, Peter König, Niklas Wilming and Simon Harst and has published in prestigious journals such as IEEE Access, Frontiers in Psychology and PLoS Computational Biology.

In The Last Decade

Nico M. Schmidt

23 papers receiving 510 citations

Peers

Nico M. Schmidt

CMN

CVPR

Mostafa-Sami M. Mostafa Egypt

Nikolay Chumerin Belgium

Filip Škola Czechia

Minmin Miao China

Stephen D. Whitlow United States

Yar Muhammad Estonia

Valentín Masero Spain

Laura Acqualagna Germany

Shefa A. Dawwd Iraq

Mostafa-Sami M. Mostafa Egypt

Nico M. Schmidt

326 ×0.9

157 ×1.3

CMN

66 ×0.5

CVPR

66 ×0.7

45 ×0.6

Citations per year, relative to Nico M. Schmidt Nico M. Schmidt (= 1×) peers Mostafa-Sami M. Mostafa

Countries citing papers authored by Nico M. Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Nico M. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nico M. Schmidt. 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 Nico M. Schmidt. The network helps show where Nico M. Schmidt may publish in the future.

Co-authorship network of co-authors of Nico M. Schmidt

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

All Works

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20 of 20 papers shown

Schmidt, Nico M., et al.. (2025). Standing tall or falling short: A narrative review of height dissatisfaction and psychological outcomes. PLOS mental health.. 2(11). e0000497–e0000497.

Schäfer, Jörg, et al.. (2023). Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access. 11. 54296–54336. 22 indexed citations

Schmidt, Nico M., et al.. (2023). Augmentation-based Domain Generalization for Semantic Segmentation. 1–8. 7 indexed citations

Ranger, Jochen, Nico M. Schmidt, & Anett Wolgast. (2022). Detecting Cheating in Large-Scale Assessment: The Transfer of Detectors to New Tests. Educational and Psychological Measurement. 83(5). 1033–1058. 3 indexed citations

Fröhlich, Klemens, et al.. (2021). Impact of DJ-1 and Helix 8 on the Proteome and Degradome of Neuron-Like Cells. Cells. 10(2). 404–404. 5 indexed citations

Ranger, Jochen, Nico M. Schmidt, & Anett Wolgast. (2020). The Detection of Cheating on E-Exams in Higher Education—The Performance of Several Old and Some New Indicators. Frontiers in Psychology. 11. 568825–568825. 29 indexed citations

Wolgast, Anett, Nico M. Schmidt, & Jochen Ranger. (2020). Test-Taking Motivation in Education Students: Task Battery Order Affected Within-Test-Taker Effort and Importance. Frontiers in Psychology. 11. 559683–559683. 9 indexed citations

Schmidt, Nico M., et al.. (2020). Focussing Learned Image Compression to Semantic Classes for V2X Applications. 1641–1648. 13 indexed citations

Schneider, Ján, et al.. (2020). Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. 1369–1378. 22 indexed citations

10.

Schmidt, Nico M., et al.. (2019). On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. 424–431. 16 indexed citations

11.

Schmidt, Nico M., et al.. (2018). Systematische Nachrechnung des Brückenbestands in Mecklenburg‐Vorpommern. Beton- und Stahlbetonbau. 113(4). 281–290. 2 indexed citations

12.

Wilming, Niklas, Simon Harst, Nico M. Schmidt, & Peter König. (2013). Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy. PLoS Computational Biology. 9(1). e1002871–e1002871. 44 indexed citations

13.

Schmidt, Nico M., Benjamin Blankertz, & Matthias S. Treder. (2012). Online detection of error-related potentials boosts the performance of mental typewriters. BMC Neuroscience. 13(1). 19–19. 66 indexed citations

14.

Treder, Matthias S., Nico M. Schmidt, & Benjamin Blankertz. (2011). Gaze-independent brain–computer interfaces based on covert attention and feature attention. Journal of Neural Engineering. 8(6). 66003–66003. 146 indexed citations

15.

Treder, Matthias S., Ali Bahramisharif, Nico M. Schmidt, Marcel van Gerven, & Benjamin Blankertz. (2011). Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention. Journal of NeuroEngineering and Rehabilitation. 8(1). 24–24. 82 indexed citations

16.

Hoffmann, Matej, Nico M. Schmidt, Kohei Nakajima, Fumiya Iida, & Rolf Pfeifer. (2011). Perception, motor learning, and speed adaptation exploiting body dynamics: case studies in a quadruped robot. Zurich Open Repository and Archive (University of Zurich). 39–40. 4 indexed citations

17.

Schmidt, Nico M., Benjamin Blankertz, & Matthias S. Treder. (2011). Online detection of error potentials increases information throughput in a brain–computer interface. Neuroscience Letters. 500. e19–e20. 6 indexed citations

18.

Blankertz, Benjamin, Nico M. Schmidt, & Matthias S. Treder. (2010). Gaze-independent BCI spellers based on covert attention and feature attention. 1–2. 1 indexed citations

19.

Schmidt, Nico M., Benjamin Blankertz, & Matthias S. Treder. (2010). α-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs. 77. 481–487. 6 indexed citations

20.

Schmidt, Nico M., et al.. (2006). Automated geometry measurement of wheel rims based on optical 3D metrology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6382. 63820I–63820I. 1 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.

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