Marco Cornolti
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
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- Data Quality and Management
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 1
- Text and Document Classification Technologies 1
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- Spam and Phishing Detection 1
- Web Data Mining and Analysis 1
- Co-authors
- Paolo Ferragina (4 shared papers)Massimiliano Ciaramita (4 shared papers)Hinrich Schütze (3 shared papers)Daniele Pighin (1 shared paper)Enrique Alfonseca (1 shared paper)Katja Filippova (1 shared paper)Jan Seedorf (1 shared paper)Saverio Niccolini (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)CINECA IRIS Institutial research information system (University of Pisa) (2 papers)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Marco Cornolti
6 papers receiving 186 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 174
- Management Science and Operations Research 47
- Information Systems 48
- Computer Science Applications 8
- Communication 10
Countries citing papers authored by Marco Cornolti
This map shows the geographic impact of Marco Cornolti'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 Marco Cornolti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cornolti more than expected).
Fields of papers citing papers by Marco Cornolti
This network shows the impact of papers produced by Marco Cornolti. 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 Marco Cornolti. The network helps show where Marco Cornolti may publish in the future.
Co-authors
The 8 scholars most cited alongside Marco Cornolti, 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 | 2013 | 125 | |
| 2 | 2014 | 22 | |
| 3 | 2014 | 21 | |
| 4 | 2016 | 20 | |
| 5 | 2009 | 6 | |
| 6 | 2018 | 5 |
About Marco Cornolti
Marco Cornolti is a scholar working on Artificial Intelligence, Information Systems, Communication, Computer Networks and Communications and Sociology and Political Science, having authored 6 papers that have together received 199 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (1 paper), Advanced Authentication Protocols Security (1 paper), Spam and Phishing Detection (1 paper), Misinformation and Its Impacts (1 paper), Web Data Mining and Analysis (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (174 citations), Management Science and Operations Research (47 citations), Information Systems (48 citations), Computer Science Applications (8 citations) and Communication (10 citations). Marco Cornolti has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Paolo Ferragina, Massimiliano Ciaramita, Hinrich Schütze, Daniele Pighin, Enrique Alfonseca, Katja Filippova, Jan Seedorf and Saverio Niccolini. Their work appears in journals such as ACM Transactions on Information Systems and CINECA IRIS Institutial research information system (University of Pisa).
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.