Michael Lebowitz

2.8k total citations
70 papers, 1.9k citations indexed

About

Michael Lebowitz is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Michael Lebowitz has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 17 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Michael Lebowitz's work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Michael Lebowitz is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Michael Lebowitz collaborates with scholars based in United States, Taiwan and Canada. Michael Lebowitz's co-authors include Peter L. Pedersen, Jonathan P. Schneck, Roger C. Schank, Hossein Ghanbari, Sean M. O’Herrin, Joan Glick Bieler, Didier Marguet, Lawrence Birnbaum, Zhi-Gang Jiang and Drew M. Pardoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Michael Lebowitz

65 papers receiving 1.7k 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 Lebowitz United States 25 900 368 226 158 147 70 1.9k
Donald E. Walker United States 24 243 0.3× 764 2.1× 160 0.7× 73 0.5× 50 0.3× 74 2.8k
William R. Harris United States 23 398 0.4× 449 1.2× 57 0.3× 266 1.7× 18 0.1× 66 1.8k
James Meehan United Kingdom 17 338 0.4× 523 1.4× 298 1.3× 23 0.1× 51 0.3× 44 1.6k
Jinwook Seo South Korea 25 490 0.5× 839 2.3× 45 0.2× 139 0.9× 25 0.2× 121 2.6k
Richard M. Young United Kingdom 23 670 0.7× 116 0.3× 16 0.1× 406 2.6× 169 1.1× 84 2.3k
Steve Pettifer United Kingdom 25 389 0.4× 928 2.5× 34 0.2× 298 1.9× 52 0.4× 104 2.3k
David Martínez Australia 23 1.1k 1.2× 610 1.7× 421 1.9× 203 1.3× 31 0.2× 93 2.1k
Jie Hu China 22 181 0.2× 603 1.6× 31 0.1× 213 1.3× 156 1.1× 89 1.8k
Anna Korhonen United Kingdom 37 4.1k 4.6× 1.1k 3.0× 25 0.1× 251 1.6× 178 1.2× 215 5.3k
Ying Shen China 32 1.6k 1.8× 814 2.2× 186 0.8× 329 2.1× 5 0.0× 171 3.4k

Countries citing papers authored by Michael Lebowitz

Since Specialization
Citations

This map shows the geographic impact of Michael Lebowitz'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 Lebowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lebowitz more than expected).

Fields of papers citing papers by Michael Lebowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Lebowitz. 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 Lebowitz. The network helps show where Michael Lebowitz may publish in the future.

Co-authorship network of co-authors of Michael Lebowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lebowitz. A scholar is included among the top collaborators of Michael Lebowitz 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 Lebowitz. Michael Lebowitz 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.
Wu, Xiaoxing, Hsin‐Yao Wang, Rong Sun, et al.. (2022). Long short-term memory model – A deep learning approach for medical data with irregularity in cancer predication with tumor markers. Computers in Biology and Medicine. 144. 105362–105362. 36 indexed citations
2.
Nagaoka, Katsuya, Xuewei Bai, Kosuke Ogawa, et al.. (2019). Anti-tumor activity of antibody drug conjugate targeting aspartate-β-hydroxylase in pancreatic ductal adenocarcinoma. Cancer Letters. 449. 87–98. 19 indexed citations
3.
Revskaya, Ekaterina, Zewei Jiang, Alfred Morgenstern, et al.. (2017). A Radiolabeled Fully Human Antibody to Human Aspartyl (Asparaginyl) β -Hydroxylase Is a Promising Agent for Imaging and Therapy of Metastatic Breast Cancer. Cancer Biotherapy and Radiopharmaceuticals. 32(2). 57–65. 10 indexed citations
4.
Iwagami, Yoshifumi, Sarah Casulli, Katsuya Nagaoka, et al.. (2017). Lambda phage-based vaccine induces antitumor immunity in hepatocellular carcinoma. Heliyon. 3(9). e00407–e00407. 36 indexed citations
5.
Jiang, Zhi-Gang, Michael Lebowitz, & Hossein Ghanbari. (2006). Neuroprotective Activity of 3-Aminopyridine-2-Carboxaldehyde Thiosemicarbazone (PAN-811), a Cancer Therapeutic Agent. CNS Drug Reviews. 12(1). 77–90. 34 indexed citations
6.
Lebowitz, Michael, Sean M. O’Herrin, Tarek M. Fahmy, et al.. (1999). Soluble, High-Affinity Dimers of T-Cell Receptors and Class II Major Histocompatibility Complexes: Biochemical Probes for Analysis and Modulation of Immune Responses. Cellular Immunology. 192(2). 175–184. 43 indexed citations
7.
Lebowitz, Michael & Peter L. Pedersen. (1996). Protein Inhibitor of Mitochondrial ATP Synthase: Relationship of Inhibitor Structure to pH-Dependent Regulation. Archives of Biochemistry and Biophysics. 330(2). 342–354. 37 indexed citations
8.
Weber, David J., et al.. (1994). NMR Docking of a Substrate into the X-ray Structure of the Asp-21 .fwdarw. Glu Mutant of Staphylococcal Nuclease. Biochemistry. 33(26). 8017–8028. 7 indexed citations
9.
Lebowitz, Michael & Peter L. Pedersen. (1993). Regulation of the Mitochondrial ATP Synthase/ATPase Complex: cDNA Cloning, Sequence, Overexpression, and Secondary Structural Characterization of a Functional Protein Inhibitor. Archives of Biochemistry and Biophysics. 301(1). 64–70. 38 indexed citations
10.
Haber, Martin T., Tetsuya Fukui, Michael Lebowitz, & John M. Lowenstein. (1991). Activation of phosphoinositide-specific phospholipase Cδ from rat liver by polyamines and basic proteins. Archives of Biochemistry and Biophysics. 288(1). 243–249. 42 indexed citations
11.
Lebowitz, Michael. (1986). Not the path to perdition: the utility of similarity-based learning. National Conference on Artificial Intelligence. 533–537. 26 indexed citations
12.
Lebowitz, Michael. (1986). UNIMEM, a general learning system: an overview. European Conference on Artificial Intelligence. 25–35. 3 indexed citations
13.
Lebowitz, Michael. (1985). RESEARCHER: an experimental intelligent information system. International Joint Conference on Artificial Intelligence. 858–862. 11 indexed citations
14.
Lebowitz, Michael. (1985). An Experiment in Intelligent Information Systems: RESEARCHER. Columbia Academic Commons (Columbia University). 8 indexed citations
15.
Lebowitz, Michael. (1981). Cancelled due to lack of interest. International Joint Conference on Artificial Intelligence. 13–15. 6 indexed citations
16.
Lebowitz, Michael. (1981). The nature of generalization in understanding. International Joint Conference on Artificial Intelligence. 348–353. 3 indexed citations
17.
Schank, Roger C., Michael Lebowitz, & Lawrence Birnbaum. (1980). An integrated understander. Computational Linguistics. 6(1). 13–30. 51 indexed citations
18.
Lebowitz, Michael. (1980). Language and memory: generalization as a part of understanding. National Conference on Artificial Intelligence. 324–326. 1 indexed citations
19.
Schank, Roger C., Michael Lebowitz, & Lawrence Birnbaum. (1979). Parsing directly into knowledge structures. International Joint Conference on Artificial Intelligence. 772–777. 3 indexed citations
20.
Lebowitz, Michael, et al.. (1979). The Use of Stereotype Information in the Comprehension of Noun Phrases.. Defense Technical Information Center (DTIC). 1 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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