Michael Heck
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Endocrinology top 10%
Papers in
-
- Speech and dialogue systems 18
- Speech Recognition and Synthesis 13
- Natural Language Processing Techniques 12
- Topic Modeling 12
-
- Music and Audio Processing 5
- Speech and Audio Processing 5
- Co-authors
- Bertram L. Jacobs (4 shared papers)Jeffrey Langland (3 shared papers)James K. Jancovich (2 shared papers)Valerie Stout (1 shared paper)Nadim Majdalani (1 shared paper)Susan Gottesman (1 shared paper)Satoshi Nakamura (11 shared papers)Sakriani Sakti (10 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Virology (2 papers)Virus Research (1 paper)Current Topics in Medicinal Chemistry (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Michael Heck
51 papers receiving 669 citations
Peers
Comparison fields: 5 of 100
- Virology 120
- Endocrinology 42
- Signal Processing 65
- Immunology 123
- Genetics 140
Countries citing papers authored by Michael Heck
This map shows the geographic impact of Michael Heck'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 Michael Heck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Heck more than expected).
Fields of papers citing papers by Michael Heck
This network shows the impact of papers produced by Michael Heck. 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 Michael Heck. The network helps show where Michael Heck may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Heck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 177 | |
| 2 | 2005 | 118 | |
| 3 | 2008 | 66 | |
| 4 | 2005 | 56 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 24 | |
| 8 | 2016 | 21 | |
| 9 | 2016 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2017 | 5 |
About Michael Heck
Michael Heck is a scholar working on Artificial Intelligence, Signal Processing, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 691 indexed citations. Recurring topics across this work include Speech and dialogue systems (18 papers), Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Biomedical and Chemical Research (6 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Virology (120 citations), Endocrinology (42 citations), Signal Processing (65 citations), Immunology (123 citations) and Genetics (140 citations). Michael Heck has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Bertram L. Jacobs, Jeffrey Langland, James K. Jancovich, Valerie Stout, Nadim Majdalani, Susan Gottesman, Satoshi Nakamura, Sakriani Sakti, Garilyn Jentarra and Teresa Brandt. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Virology, Virus Research, Current Topics in Medicinal Chemistry and Transactions of the Association for Computational Linguistics.
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.