Fabian Böhm
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Biomedical Engineering
- Co-authors
- Guy Van der SandeGuy VerschaffeltKathy LüdgeEckehard SchöllAnna ZakharovaThomas Van VaerenberghAndré RöhmAnn Dooms
- Topics
- Neural Networks and Reservoir Computing (9 papers)Quantum Information and Cryptography (8 papers)Quantum Computing Algorithms and Architecture (8 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Fabian Böhm
18 papers receiving 372 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 239
- Computer Networks and Communications 146
- Electrical and Electronic Engineering 133
- Statistical and Nonlinear Physics 76
- Biomedical Engineering 55
Countries citing papers authored by Fabian Böhm
This map shows the geographic impact of Fabian Böhm'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 Fabian Böhm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Böhm more than expected).
Fields of papers citing papers by Fabian Böhm
This network shows the impact of papers produced by Fabian Böhm. 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 Fabian Böhm. The network helps show where Fabian Böhm may publish in the future.
Co-authorship network of co-authors of Fabian Böhm
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Böhm. A scholar is included among the top collaborators of Fabian Böhm 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 Fabian Böhm. Fabian Böhm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 118 | |
| 14 | 2 | |
| 15 | 42 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 31 | |
| 19 | 86 |
About Fabian Böhm
Fabian Böhm is a scholar working on Acoustics and Ultrasonics, Hardware and Architecture and Artificial Intelligence, having authored 19 papers that have together received 390 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (9 papers), Quantum Information and Cryptography (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Artificial Intelligence (239 citations), Computer Networks and Communications (146 citations) and Statistical and Nonlinear Physics (76 citations). Fabian Böhm has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Guy Van der Sande, Guy Verschaffelt, Kathy Lüdge, Eckehard Schöll, Anna Zakharova, Thomas Van Vaerenbergh, André Röhm, Ann Dooms, Takeshi Umeki and Ryoichi Kasahara. Their work appears in journals such as Nature Communications, Optics Express and SIAM Journal on Scientific Computing.
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.