Michael Fleischman

1.5k total citations
29 papers, 944 citations indexed

About

Michael Fleischman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Michael Fleischman has authored 29 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Michael Fleischman's work include Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers) and Speech and dialogue systems (10 papers). Michael Fleischman is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers) and Speech and dialogue systems (10 papers). Michael Fleischman collaborates with scholars based in United States and Germany. Michael Fleischman's 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 and has published in prestigious journals such as Biological Psychiatry, Schizophrenia Research and Cognitive Science.

In The Last Decade

Michael Fleischman

29 papers receiving 831 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Fleischman United States 16 450 209 195 139 105 29 944
Zhikun Zhang China 23 333 0.7× 634 3.0× 141 0.7× 45 0.3× 339 3.2× 60 1.2k
Vicente L. Malave United States 7 285 0.6× 1.2k 5.7× 105 0.5× 137 1.0× 106 1.0× 7 1.6k
Matteo Signorini Italy 15 83 0.2× 323 1.5× 282 1.4× 25 0.2× 102 1.0× 37 1.0k
Z.J. Koles Canada 16 71 0.2× 728 3.5× 111 0.6× 81 0.6× 64 0.6× 34 1.1k
Ali Khazaee Iran 16 155 0.3× 855 4.1× 228 1.2× 32 0.2× 241 2.3× 27 1.4k
Yangding Li China 19 106 0.2× 697 3.3× 79 0.4× 90 0.6× 166 1.6× 50 1.2k
Yannick Schwartz France 9 110 0.2× 605 2.9× 105 0.5× 28 0.2× 224 2.1× 14 873
Yu Lei China 14 185 0.4× 310 1.5× 49 0.3× 132 0.9× 75 0.7× 25 736
Le Song China 11 133 0.3× 275 1.3× 33 0.2× 66 0.5× 14 0.1× 37 739
Francisco Pereira United States 10 206 0.5× 478 2.3× 41 0.2× 119 0.9× 82 0.8× 13 723

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-authorship network of co-authors of Michael Fleischman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fleischman. A scholar is included among the top collaborators of Michael Fleischman 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 Michael Fleischman. Michael Fleischman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fleischman, Michael & Deb Roy. (2008). Grounded Language Modeling for Automatic Speech Recognition of Sports Video. Meeting of the Association for Computational Linguistics. 121–129. 17 indexed citations
2.
Fleischman, Michael & Deb Roy. (2007). Representing Intentions in a Cognitive Model of Language Acquisition: Effects of Phrase Structure on Situated Verb Learning.. National Conference on Artificial Intelligence. 7–12. 3 indexed citations
3.
Fleischman, Michael & Deb Roy. (2007). Unsupervised content-based indexing of sports video. 87–94. 17 indexed citations
4.
Fleischman, Michael, et al.. (2007). Unsupervised content-based indexing for sports video retrieval. 473–474. 8 indexed citations
5.
Roy, Deb, Rupal Patel, Philip DeCamp, et al.. (2006). The Human Speechome Project. Cognitive Science. 48 indexed citations
6.
Fleischman, Michael & Eduard Hovy. (2006). Taking advantage of the situation. 47–54. 5 indexed citations
7.
Fleischman, Michael, et al.. (2006). Mining temporal patterns of movement for video content classification. 183–192. 27 indexed citations
8.
Fisher, Anna V., Michael Fleischman, Deb Roy, & Vladimir M. Sloutsky. (2005). Effects of Category Labels on Induction and Visual Processing: Support or Interference?. eScholarship (California Digital Library). 27(27). 1 indexed citations
9.
Kwon, Namhee, Michael Fleischman, & Eduard Hovy. (2004). Senseval automatic labeling of semantic roles using Maximum Entropy models. Meeting of the Association for Computational Linguistics. 129–132. 7 indexed citations
10.
Fleischman, Michael, Eduard Hovy, & Abdessamad Echihabi. (2003). Offline strategies for online question answering. 1. 1–7. 91 indexed citations
11.
Fleischman, Michael & Eduard Hovy. (2003). A maximum entropy approach to FrameNet tagging. 2. 22–24. 10 indexed citations
12.
Fleischman, Michael & Eduard Hovy. (2002). Emotional Variation in Speech-Based Natural Language Generation. 14 indexed citations
13.
Fleischman, Michael & Eduard Hovy. (2002). Towards Emotional Variation in Speech-Based Natural Language Processing. 57–64. 11 indexed citations
14.
Buchsbaum, Monte S., Igor Nenadić, Erin A. Hazlett, et al.. (2002). Differential metabolic rates in prefrontal and temporal Brodmann areas in schizophrenia and schizotypal personality disorder. Schizophrenia Research. 54(1-2). 141–150. 86 indexed citations
15.
Fleischman, Michael & Eduard Hovy. (2002). Fine grained classification of named entities. 1. 1–7. 113 indexed citations
16.
Fleischman, Michael. (2001). Automated Subcategorization of Named Entities.. Meeting of the Association for Computational Linguistics. 25–30. 23 indexed citations
17.
Shihabuddin, Lina, Monte S. Buchsbaum, Erin A. Hazlett, et al.. (2001). Striatal Size and Relative Glucose Metabolic Rate in Schizotypal Personality Disorder and Schizophrenia. Archives of General Psychiatry. 58(9). 877–877. 68 indexed citations
18.
Hazlett, Erin A., Monte S. Buchsbaum, Cheuk Y. Tang, et al.. (2001). Thalamic activation during an attention-to-prepulse startle modification paradigm: a functional MRI study. Biological Psychiatry. 50(4). 281–291. 77 indexed citations
19.
Hazlett, Erin A., Monte S. Buchsbaum, Igor Nenadić, et al.. (2000). Hypofrontality in unmedicated schizophrenia patients studied with PET during performance of a serial verbal learning task. Schizophrenia Research. 43(1). 33–46. 123 indexed citations
20.
Shihabuddin, Lina, Monte S. Buchsbaum, Cheuk Y. Tang, et al.. (2000). 322. Diffusion tensor imaging in schizophrenia and schizophrenia spectrum disorders. Biological Psychiatry. 47(8). S97–S97. 3 indexed citations

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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