Bernhard Moser

1.1k total citations
58 papers, 672 citations indexed

About

Bernhard Moser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Bernhard Moser has authored 58 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Bernhard Moser's work include Fuzzy Logic and Control Systems (10 papers), Advanced Algebra and Logic (6 papers) and Neural dynamics and brain function (5 papers). Bernhard Moser is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Advanced Algebra and Logic (6 papers) and Neural dynamics and brain function (5 papers). Bernhard Moser collaborates with scholars based in Austria, Italy and Germany. Bernhard Moser's co-authors include Werner Zellinger, Erich Peter Klement, László T. Kóczy, Susanne Saminger‐Platz, Thomas Natschläger, Ramin Nikzad‐Langerodi, Mirko Navara, Péter Várlaki, Thomas Grubinger and T.D. Gedeon and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Information Sciences.

In The Last Decade

Bernhard Moser

51 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Moser Austria 13 353 172 119 97 88 58 672
Chun-Ru Dong China 8 394 1.1× 137 0.8× 164 1.4× 78 0.8× 99 1.1× 31 644
Kaoru Hirota Japan 16 272 0.8× 77 0.4× 328 2.8× 79 0.8× 59 0.7× 76 827
Peijun Ma China 16 231 0.7× 160 0.9× 248 2.1× 99 1.0× 95 1.1× 71 990
Asim Roy United States 14 336 1.0× 60 0.3× 123 1.0× 79 0.8× 70 0.8× 49 608
Jihong Wan China 17 494 1.4× 373 2.2× 252 2.1× 40 0.4× 53 0.6× 37 773
Jin-Seon Lee South Korea 4 469 1.3× 123 0.7× 227 1.9× 46 0.5× 23 0.3× 10 760
Zhifeng Hao China 19 572 1.6× 42 0.2× 209 1.8× 86 0.9× 36 0.4× 60 861
Li-Xin Wang China 10 469 1.3× 68 0.4× 51 0.4× 310 3.2× 88 1.0× 32 774
Wilfried Brauer Germany 12 303 0.9× 225 1.3× 52 0.4× 47 0.5× 32 0.4× 44 702
Jingyu Yang China 16 266 0.8× 341 2.0× 665 5.6× 68 0.7× 118 1.3× 29 1.2k

Countries citing papers authored by Bernhard Moser

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Moser

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Moser. A scholar is included among the top collaborators of Bernhard Moser 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 Bernhard Moser. Bernhard Moser 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.
Moser, Bernhard, et al.. (2025). On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire. Neuromorphic Computing and Engineering. 5(1). 14011–14011.
2.
Kumar, Mohit, Bernhard Moser, & Lukas Fischer. (2024). On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. Journal of Artificial Intelligence Research. 79. 515–567. 1 indexed citations
3.
Eghbal-zadeh, Hamid, Werner Zellinger, Maura Pintor, et al.. (2023). Rethinking data augmentation for adversarial robustness. Information Sciences. 654. 119838–119838. 4 indexed citations
4.
Martínez-Gil, Jorge, et al.. (2023). Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review. SPIRE - Sciences Po Institutional REpository. 55–70.
5.
Alam, Mehwish, Dieter Fensel, Jorge Martínez-Gil, et al.. (2021). Special Issue on Machine Learning and Knowledge Graphs. Future Generation Computer Systems. 129. 50–53. 2 indexed citations
6.
Zellinger, Werner, Bernhard Moser, & Susanne Saminger‐Platz. (2020). Learning Bounds for Moment-Based Domain Adaptation.. arXiv (Cornell University). 1 indexed citations
7.
Kumar, Mohit, et al.. (2020). An optimal (∊,δ)-differentially private learning of distributed deep fuzzy models. Information Sciences. 546. 87–120. 10 indexed citations
8.
Meloni, Paolo, Daniela Loi, Andy D. Pimentel, et al.. (2019). Optimization and deployment of CNNs at the edge. UvA-DARE (University of Amsterdam). 326–332. 7 indexed citations
9.
Leser, Roland, et al.. (2019). Finding efficient strategies in 3-versus-2 small-sided games of youth soccer players. Kinesiology. 51(1). 6 indexed citations
10.
Eghbal-zadeh, Hamid, Lukas Fischer, Niko Popitsch, et al.. (2018). DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. Journal of Computational Biology. 26(6). 572–596. 2 indexed citations
11.
Moser, Bernhard & Thomas Natschläger. (2014). On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling. IEEE Transactions on Signal Processing. 62(8). 1987–1999. 22 indexed citations
12.
Moser, Bernhard. (2014). The Range of a Simple Random Walk on $\mathbb{Z}$: An Elementary Combinatorial Approach. The Electronic Journal of Combinatorics. 21(4). 2 indexed citations
13.
Moser, Bernhard. (2009). A Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2321–2329. 18 indexed citations
14.
Moser, Bernhard, et al.. (2008). On the Potential of Hermann Weyl's Discrepancy Norm for Texture Analysis. 35. 187–191. 2 indexed citations
15.
Moser, Bernhard. (2006). On Representing and Generating Kernels by Fuzzy Equivalence Relations. Journal of Machine Learning Research. 7(93). 2603–2620. 70 indexed citations
16.
Tikk, Domonkos, et al.. (2002). Stability of interpolative fuzzy KH controllers. Fuzzy Sets and Systems. 125(1). 105–119. 68 indexed citations
17.
Moser, Bernhard & Mirko Navara. (2002). Fuzzy controllers with conditionally firing rules. IEEE Transactions on Fuzzy Systems. 10(3). 340–348. 24 indexed citations
18.
Moser, Bernhard & Mirko Navara. (1999). Which triangular norms are convenient for fuzzy controllers. European Society for Fuzzy Logic and Technology Conference. 111(7). 75–78. 4 indexed citations
19.
Klement, Erich Peter & Bernhard Moser. (1997). On the redundancy of fuzzy partitions. Fuzzy Sets and Systems. 85(2). 195–201. 11 indexed citations
20.
Bauer, Péter, et al.. (1995). Modeling of control functions by fuzzy controllers. John Wiley & Sons, Inc. eBooks. 91–116. 8 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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