Michael Fleischman

1.5k citations
30 papers · 1.2k · h-index 19

Impact in

Papers in

Michael Fleischman

30 papers receiving 1.0k citations

Peers

Michael Fleischman
Comparison fields: 5 of 77
  • Artificial Intelligence 557
  • Psychiatry and Mental health 186
  • Cognitive Neuroscience 184
  • Computer Vision and Pattern Recognition 178
  • Signal Processing 87
Replace Tim Genewein with:
Tim Genewein Germany
Veronika Vincze Hungary
Sharifa Alghowinem United States
Emily Prud’hommeaux United States
Kaya Oğuz Türkiye
David Carmel United Kingdom
Leendert van Maanen Netherlands
Yannick Schwartz France
Matteo Signorini Italy
Michael Fleischman relative to Tim Genewein Germany Tim Genewein's profile →
Citations per field
00.5×5.5×
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Citations per year

Countries citing papers authored by Michael Fleischman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael Fleischman Line = papers co-authored together Michael Fleischman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002140
2 2000130
3 2003108
4 200292
5 200686
6 200178
7 200172
8
The Human Speechome Project
200656
9
Multi-Document Person Name Resolution
200451
10 200351
11 200629
12
Automated Subcategorization of Named Entities.
200128
13 200723
14 200720
15
Emotional Variation in Speech-Based Natural Language Generation
200219
16
Semi-automatic Construction of a General Purpose Ontology
200319
17
Grounded Language Modeling for Automatic Speech Recognition of Sports Video
200818
18 200518
19 200718
20 200318

About Michael Fleischman

Michael Fleischman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Cognitive Neuroscience, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers), Speech and dialogue systems (11 papers), Video Analysis and Summarization (6 papers), Music and Audio Processing (4 papers), Schizophrenia research and treatment (3 papers), Functional Brain Connectivity Studies (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (557 citations), Psychiatry and Mental health (186 citations), Cognitive Neuroscience (184 citations), Computer Vision and Pattern Recognition (178 citations) and Signal Processing (87 citations). Michael Fleischman has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Eduard Hovy, Deb Roy, Monte S. Buchsbaum, Erin A. Hazlett, Abdessamad Echihabi, Igor Nenadić, M. Mehmet Haznedar, Namhee Kwon, Lina Shihabuddin and Brandon Roy. Their work appears in journals such as Biological Psychiatry, Schizophrenia Research, Cognitive Science, Lecture notes in computer science and Natural Language Generation.

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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