Shima Gerani
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Information Systems top 10%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 2
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- Web Data Mining and Analysis 4
- Information Retrieval and Search Behavior 4
- Co-authors
- Fábio Crestani (9 shared papers)Raymond T. Ng (2 shared papers)Giuseppe Carenini (2 shared papers)Yashar Mehdad (1 shared paper)Mark Carman (5 shared papers)Jimmy Xiangji Huang (1 shared paper)Robert Gwadera (2 shared papers)Giacomo Inches (2 shared papers)
- Journals
- ACM Transactions on Information Systems (1 paper)Computer Speech & Language (1 paper)Text REtrieval Conference (2 papers)View (1 paper)
- Partner nations
- SwitzerlandCanadaItaly
In The Last Decade
Shima Gerani
11 papers receiving 225 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 207
- Information Systems 90
- Statistical and Nonlinear Physics 13
- Computer Vision and Pattern Recognition 19
- General Social Sciences 3
Countries citing papers authored by Shima Gerani
This map shows the geographic impact of Shima Gerani'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 Shima Gerani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shima Gerani more than expected).
Fields of papers citing papers by Shima Gerani
This network shows the impact of papers produced by Shima Gerani. 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 Shima Gerani. The network helps show where Shima Gerani may publish in the future.
Co-authors
The 10 scholars most cited alongside Shima Gerani, 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 | 2014 | 114 | |
| 2 | 2010 | 29 | |
| 3 | 2011 | 24 | |
| 4 | 2016 | 23 | |
| 5 | 2013 | 19 | |
| 6 | 2012 | 14 | |
| 7 | University of Lugano at TREC 2008 Blog Track | 2008 | 5 |
| 8 | University of Lugano at TREC 2010 | 2010 | 4 |
| 9 | 2011 | 4 | |
| 10 | 2011 | 2 | |
| 11 | University of Lugano at TREC 2009 Blog Track | 2009 | 2 |
About Shima Gerani
Shima Gerani is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 240 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Web Data Mining and Analysis (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Text and Document Classification Technologies (4 papers), Information Retrieval and Search Behavior (4 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (207 citations), Information Systems (90 citations), Statistical and Nonlinear Physics (13 citations), Computer Vision and Pattern Recognition (19 citations) and General Social Sciences (3 citations). Shima Gerani has collaborated with scholars based in Switzerland, Canada and Italy. Frequent co-authors include Fábio Crestani, Raymond T. Ng, Giuseppe Carenini, Yashar Mehdad, Mark Carman, Jimmy Xiangji Huang, Robert Gwadera, Giacomo Inches, Davide Taibi and Ilya Markov. Their work appears in journals such as ACM Transactions on Information Systems, Computer Speech & Language, Text REtrieval Conference and View.
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.