Björn Hoffmeister
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Experimental and Cognitive Psychology
- Co-authors
- Hermann NeyRalf SchlüterArindam MandalSpyros MatsoukasAriya RastrowGeorg HeigoldRoland MaasShiv Vitaladevuni
- Topics
- Speech Recognition and Synthesis (32 papers)Speech and Audio Processing (18 papers)Music and Audio Processing (17 papers)
- Journals
- IEEE Signal Processing MagazineIEEE Transactions on Audio Speech and Language ProcessingarXiv (Cornell University)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Björn Hoffmeister
37 papers receiving 708 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 715
- Signal Processing 489
- Computer Vision and Pattern Recognition 82
- Computational Mechanics 45
- Experimental and Cognitive Psychology 37
Countries citing papers authored by Björn Hoffmeister
This map shows the geographic impact of Björn Hoffmeister'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 Björn Hoffmeister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Hoffmeister more than expected).
Fields of papers citing papers by Björn Hoffmeister
This network shows the impact of papers produced by Björn Hoffmeister. 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 Björn Hoffmeister. The network helps show where Björn Hoffmeister may publish in the future.
Co-authorship network of co-authors of Björn Hoffmeister
This figure shows the co-authorship network connecting the top 25 collaborators of Björn Hoffmeister. A scholar is included among the top collaborators of Björn Hoffmeister 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 Björn Hoffmeister. Björn Hoffmeister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 101 | |
| 4 | 25 | |
| 5 | 25 | |
| 6 | 15 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 89 | |
| 10 | 38 | |
| 11 | 32 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 51 | |
| 16 | 16 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 38 | |
| 20 | 31 |
About Björn Hoffmeister
Björn Hoffmeister is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 38 papers that have together received 850 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (489 citations), Artificial Intelligence (715 citations) and Human-Computer Interaction (23 citations). Björn Hoffmeister has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hermann Ney, Ralf Schlüter, Arindam Mandal, Spyros Matsoukas, Ariya Rastrow, Georg Heigold, Roland Maas, Shiv Vitaladevuni, Sankaran Panchapagesan and Ankur Gandhe. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing and arXiv (Cornell University).
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.