Hermann Baumgartl

683 total citations
32 papers, 479 citations indexed

About

Hermann Baumgartl is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Hermann Baumgartl has authored 32 papers receiving a total of 479 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 5 papers in Artificial Intelligence. Recurrent topics in Hermann Baumgartl's work include EEG and Brain-Computer Interfaces (8 papers), Industrial Vision Systems and Defect Detection (3 papers) and Human Pose and Action Recognition (2 papers). Hermann Baumgartl is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Industrial Vision Systems and Defect Detection (3 papers) and Human Pose and Action Recognition (2 papers). Hermann Baumgartl collaborates with scholars based in Germany. Hermann Baumgartl's co-authors include Ricardo Buettner, Markus Merkel, Jan Gross, Florian Baumann, Gerhard Schneider, Timo Bernthaler, Ingo J. Timm and D. Goll and has published in prestigious journals such as PLoS ONE, Chemical Physics Letters and IEEE Access.

In The Last Decade

Hermann Baumgartl

32 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hermann Baumgartl Germany 12 160 116 98 97 59 32 479
Yu Song Netherlands 12 74 0.5× 69 0.6× 74 0.8× 114 1.2× 38 0.6× 103 576
Mehrdad Heydarzadeh United States 11 86 0.5× 40 0.3× 59 0.6× 23 0.2× 22 0.4× 30 582
Andrea Vitali Italy 13 41 0.3× 78 0.7× 153 1.6× 40 0.4× 26 0.4× 98 598
Lifeng Zhu China 13 124 0.8× 43 0.4× 199 2.0× 25 0.3× 47 0.8× 64 617
Tomoki Watanabe Japan 10 48 0.3× 27 0.2× 104 1.1× 28 0.3× 49 0.8× 69 362
Alberto Fernández Spain 10 45 0.3× 35 0.3× 101 1.0× 44 0.5× 45 0.8× 18 328
Yaohua Li China 16 110 0.7× 151 1.3× 20 0.2× 22 0.2× 20 0.3× 204 1.3k
C.L. Teo Singapore 13 156 1.0× 29 0.3× 78 0.8× 25 0.3× 23 0.4× 49 557
Zengcai Wang China 12 176 1.1× 251 2.2× 95 1.0× 8 0.1× 51 0.9× 66 646
Josiah Hester United States 21 275 1.7× 85 0.7× 171 1.7× 10 0.1× 76 1.3× 87 1.4k

Countries citing papers authored by Hermann Baumgartl

Since Specialization
Citations

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

Fields of papers citing papers by Hermann Baumgartl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hermann Baumgartl

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

All Works

20 of 20 papers shown
1.
Baumgartl, Hermann, et al.. (2022). Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
2.
Baumgartl, Hermann, et al.. (2022). Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features. Chemical Physics Letters. 811. 140231–140231. 4 indexed citations
3.
Baumgartl, Hermann, et al.. (2021). Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. Journal of the Association for Information Systems. 1 indexed citations
4.
Gross, Jan, et al.. (2021). Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. Journal of the Association for Information Systems. 1 indexed citations
5.
Baumgartl, Hermann, et al.. (2021). A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. Journal of the Association for Information Systems. 42. 5 indexed citations
6.
Baumgartl, Hermann, et al.. (2021). Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. Journal of the Association for Information Systems. 3 indexed citations
7.
Gross, Jan, et al.. (2021). High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach.. Journal of the Association for Information Systems. 1 indexed citations
8.
Baumgartl, Hermann, et al.. (2021). Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. OPUS (Aalen University). 7–12. 3 indexed citations
9.
Buettner, Ricardo, et al.. (2021). Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. OPUS (Aalen University). 303–311. 8 indexed citations
10.
Baumgartl, Hermann, et al.. (2020). Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. Journal of the Association for Information Systems. 14 indexed citations
11.
Baumgartl, Hermann, et al.. (2020). Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. Journal of the Association for Information Systems. 10 indexed citations
12.
Baumgartl, Hermann, et al.. (2020). Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. Journal of the Association for Information Systems. 13 indexed citations
13.
Baumgartl, Hermann, et al.. (2020). Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. Journal of the Association for Information Systems. 16 indexed citations
14.
Baumgartl, Hermann, et al.. (2020). Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. Journal of the Association for Information Systems. 13 indexed citations
15.
Gross, Jan, Hermann Baumgartl, & Ricardo Buettner. (2020). A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. Journal of the Association for Information Systems. 19 indexed citations
16.
Baumgartl, Hermann, et al.. (2020). Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms. PLoS ONE. 15(12). e0243615–e0243615. 26 indexed citations
17.
Baumgartl, Hermann & Ricardo Buettner. (2020). Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 24 indexed citations
18.
Buettner, Ricardo & Hermann Baumgartl. (2019). A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 30 indexed citations
19.
Baumann, Florian, et al.. (2018). Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. Procedia Computer Science. 126. 1289–1297. 29 indexed citations
20.

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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