Michael Fleischman
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 18
- Topic Modeling 15
- Speech and dialogue systems 10
- Psychiatry and Mental health top 5%
- Schizophrenia research and treatment 3
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 4
- Signal Processing top 10%
- Music and Audio Processing 4
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- Video Analysis and Summarization 6
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- Advanced Neuroimaging Techniques and Applications 3
Michael Fleischman
29 papers receiving 831 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 450
- Psychiatry and Mental health 195
- Cognitive Neuroscience 209
- Signal Processing 77
- Computer Vision and Pattern Recognition 139
Countries citing papers authored by Michael Fleischman
This map shows the geographic impact of Michael Fleischman'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 Fleischman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fleischman more than expected).
Fields of papers citing papers by Michael Fleischman
This network shows the impact of papers produced by Michael Fleischman. 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 Fleischman. The network helps show where Michael Fleischman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Fleischman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Grounded Language Modeling for Automatic Speech Recognition of Sports Video | 2008 | 17 |
| 2 | Representing Intentions in a Cognitive Model of Language Acquisition: Effects of Phrase Structure on Situated Verb Learning. | 2007 | 3 |
| 3 | 2007 | 17 | |
| 4 | 2007 | 8 | |
| 5 | The Human Speechome Project | 2006 | 48 |
| 6 | 2006 | 5 | |
| 7 | 2006 | 27 | |
| 8 | Effects of Category Labels on Induction and Visual Processing: Support or Interference? | 2005 | 1 |
| 9 | Senseval automatic labeling of semantic roles using Maximum Entropy models | 2004 | 7 |
| 10 | 2003 | 91 | |
| 11 | 2003 | 10 | |
| 12 | Emotional Variation in Speech-Based Natural Language Generation | 2002 | 14 |
| 13 | Towards Emotional Variation in Speech-Based Natural Language Processing | 2002 | 11 |
| 14 | 2002 | 86 | |
| 15 | 2002 | 113 | |
| 16 | Automated Subcategorization of Named Entities. | 2001 | 23 |
| 17 | 2001 | 68 | |
| 18 | 2001 | 77 | |
| 19 | 2000 | 123 | |
| 20 | 2000 | 3 |
About Michael Fleischman
Michael Fleischman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience and Psychiatry and Mental health, having authored 29 papers that have together received 944 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers), Speech and dialogue systems (10 papers), Video Analysis and Summarization (6 papers), Music and Audio Processing (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Schizophrenia research and treatment (3 papers). The work is most often cited by research in Artificial Intelligence (450 citations), Psychiatry and Mental health (195 citations), Cognitive Neuroscience (209 citations), Signal Processing (77 citations) and Computer Vision and Pattern Recognition (139 citations). Michael Fleischman has collaborated with scholars based in United States and Germany. Frequent co-authors include Eduard Hovy, Deb Roy, Monte S. Buchsbaum, Erin A. Hazlett, Abdessamad Echihabi, Igor Nenadić, M. Mehmet Haznedar, Lina Shihabuddin, Namhee Kwon and Cheuk Y. Tang. Their work appears in journals such as Biological Psychiatry, Schizophrenia Research, Cognitive Science, Archives of General Psychiatry and eScholarship (California Digital Library).
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.