Mark Kantrowitz
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 2
- Speech and dialogue systems 1
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- Information Retrieval and Search Behavior 3
- Web Data Mining and Analysis 1
- Software Engineering Research 1
- Co-authors
- Vibhu O. Mittal (6 shared papers)Jade Goldstein (4 shared papers)Jaime Carbonell (4 shared papers)Behrang Mohit (2 shared papers)Joseph Bates (1 shared paper)Nishita Kothary (1 shared paper)Daniel Y. Sze (1 shared paper)John D. Louie (1 shared paper)
- Journals
- Journal of Vascular and Interventional Radiology (1 paper)American Mathematical Monthly (1 paper)Lecture notes in computer science (1 paper)KiltHub Repository (1 paper)Figshare (1 paper)
- Partner nations
- United StatesJordan
In The Last Decade
Mark Kantrowitz
9 papers receiving 796 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 769
- Information Systems 202
- Hepatology 45
- Signal Processing 40
- General Social Sciences 7
Countries citing papers authored by Mark Kantrowitz
This map shows the geographic impact of Mark Kantrowitz'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 Mark Kantrowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kantrowitz more than expected).
Fields of papers citing papers by Mark Kantrowitz
This network shows the impact of papers produced by Mark Kantrowitz. 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 Mark Kantrowitz. The network helps show where Mark Kantrowitz may publish in the future.
Co-authors
The 13 scholars most cited alongside Mark Kantrowitz, 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 | 1999 | 367 | |
| 2 | 2000 | 280 | |
| 3 | 2000 | 112 | |
| 4 | 2014 | 53 | |
| 5 | 2000 | 35 | |
| 6 | Stemming and its effects on TFIDF ranking. | 2000 | 27 |
| 7 | 1992 | 18 | |
| 8 | 1988 | 3 | |
| 9 | 2018 | 1 |
About Mark Kantrowitz
Mark Kantrowitz is a scholar working on Artificial Intelligence, Information Systems, Hepatology, Management Science and Operations Research and Insect Science, having authored 9 papers that have together received 896 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Information Retrieval and Search Behavior (3 papers), Advanced Text Analysis Techniques (2 papers), Web Data Mining and Analysis (1 paper), Software Engineering Research (1 paper), Speech and dialogue systems (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Artificial Intelligence (769 citations), Information Systems (202 citations), Hepatology (45 citations), Signal Processing (40 citations) and General Social Sciences (7 citations). Mark Kantrowitz has collaborated with scholars based in United States and Jordan. Frequent co-authors include Vibhu O. Mittal, Jade Goldstein, Jaime Carbonell, Behrang Mohit, Joseph Bates, Nishita Kothary, Daniel Y. Sze, John D. Louie, Gloria L. Hwang and Franz Edward Boas. Their work appears in journals such as Journal of Vascular and Interventional Radiology, American Mathematical Monthly, Lecture notes in computer science, KiltHub Repository and Figshare.
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.