Florian Rehm

780 total citations
7 papers, 27 citations indexed

About

Florian Rehm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Florian Rehm has authored 7 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Hardware and Architecture. Recurrent topics in Florian Rehm's work include Quantum Computing Algorithms and Architecture (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Florian Rehm is often cited by papers focused on Quantum Computing Algorithms and Architecture (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Florian Rehm collaborates with scholars based in Switzerland, Germany and United States. Florian Rehm's co-authors include K. Borras, S. Vallecorsa, D. Krücker, Michele Grossi, Lena Funcke, Stefan Kühn, Cenk Tüysüz, Tobias Hartung, Karl Jansen and Verena Kain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Quantum Science and Technology and Journal of Physics Conference Series.

In The Last Decade

Florian Rehm

7 papers receiving 27 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Rehm Switzerland	4	20	8	5	5	2	7	27
P. Bargassa Portugal	2	10 0.5×	15 1.9×	3 0.6×	2 0.4×		3	21
I. Ochoa Portugal	3	12 0.6×	20 2.5×	2 0.4×	4 0.8×		6	27
Noah Shutty United States	3	8 0.4×	6 0.8×	6 1.2×	2 0.4×	1 0.5×	8	17
M. Zhabitsky Russia	3	13 0.7×	9 1.1×	3 0.6×			8	28
K. A. Wozniak Austria	4	24 1.2×	23 2.9×	3 0.6×	3 0.6×	1 0.5×	7	41
S. Bhattacharya India	3	7 0.3×	18 2.3×	5 1.0×	3 0.6×		7	26
Jamal Rorie United States	2	5 0.3×	13 1.6×	5 1.0×	7 1.4×		4	21
T. R. Junk United States	4	5 0.3×	18 2.3×	4 0.8×	3 0.6×	2 1.0×	11	30
Thomas Alexander Australia	3	25 1.3×	2 0.3×	10 2.0×	2 0.4×		5	29

Countries citing papers authored by Florian Rehm

Since Specialization

Citations

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

Fields of papers citing papers by Florian Rehm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Rehm

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

All Works

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7 of 7 papers shown

1.

Hartmann, Gregor, José Alberto Maldonado, Verena Kain, et al.. (2024). Towards Unlocking Insights from Logbooks Using AI. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

2.

Rehm, Florian, et al.. (2023). Precise image generation on current noisy quantum computing devices. Quantum Science and Technology. 9(1). 15009–15009. 3 indexed citations

3.

Borras, K., Lena Funcke, Michele Grossi, et al.. (2023). Impact of quantum noise on the training of quantum Generative Adversarial Networks. Journal of Physics Conference Series. 2438(1). 12093–12093. 11 indexed citations

4.

Rehm, Florian, S. Vallecorsa, Michele Grossi, et al.. (2022). Quantum Angle Generator for Image Generation. CERN Document Server (European Organization for Nuclear Research). 425–429. 1 indexed citations

5.

Rehm, Florian, S. Vallecorsa, K. Borras, & D. Krücker. (2021). QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS. 363–368. 4 indexed citations

6.

Rehm, Florian, S. Vallecorsa, K. Borras, & D. Krücker. (2021). BENCHMARK OF GENERATIVE ADVERSARIAL NETWORKS FOR FAST HEP CALORIMETER SIMULATIONS. 310–315. 1 indexed citations

7.

Rehm, Florian, S. Vallecorsa, K. Borras, & D. Krücker. (2021). Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations. SHILAP Revista de lepidopterología. 251. 3042–3042. 6 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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