Ciro Greco
Impact in
- Language and Linguistics top 5%
- Syntax, Semantics, Linguistic Variation
- Information Systems top 10%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Data Mining Algorithms and Applications
Papers in
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- Syntax, Semantics, Linguistic Variation 11
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- Recommender Systems and Techniques 6
- Web Data Mining and Analysis 3
- Cloud Computing and Resource Management 2
- Information Retrieval and Search Behavior 2
- Co-authors
- Liliane Haegeman (8 shared papers)Jon Sprouse (1 shared paper)Ivano Caponigro (1 shared paper)Carlo Cecchetto (1 shared paper)Lucas Lacasa (3 shared papers)Borja Requena (1 shared paper)Federico Bianchi (5 shared papers)Silvia Terragni (1 shared paper)
- Journals
- Scientific Reports (2 papers)The Linguistic Review (1 paper)Cognitive Science (1 paper)Natural Language & Linguistic Theory (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Ciro Greco
21 papers receiving 254 citations
Peers
Comparison fields: 5 of 36
- Language and Linguistics 173
- Information Systems 53
- Computer Science Applications 6
- Marketing 10
- Cognitive Neuroscience 18
Countries citing papers authored by Ciro Greco
This map shows the geographic impact of Ciro Greco'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 Ciro Greco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciro Greco more than expected).
Fields of papers citing papers by Ciro Greco
This network shows the impact of papers produced by Ciro Greco. 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 Ciro Greco. The network helps show where Ciro Greco may publish in the future.
Co-authors
The 20 scholars most cited alongside Ciro Greco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2020 | 43 | |
| 3 | 2018 | 38 | |
| 4 | 2022 | 36 | |
| 5 | 2020 | 18 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 2022 | 3 | |
| 12 | Expletives and speaker-related meaning | 2017 | 2 |
| 13 | Initial adverbial clauses and West Flemish V3 | 2018 | 2 |
| 14 | 2019 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Ciro Greco
Ciro Greco is a scholar working on Language and Linguistics, Information Systems, Safety Research, Artificial Intelligence and Marketing, having authored 23 papers that have together received 287 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (11 papers), Recommender Systems and Techniques (6 papers), Web Data Mining and Analysis (3 papers), Cloud Computing and Resource Management (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Ethics and Social Impacts of AI (2 papers), Information Retrieval and Search Behavior (2 papers) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Language and Linguistics (173 citations), Information Systems (53 citations), Computer Science Applications (6 citations), Marketing (10 citations) and Cognitive Neuroscience (18 citations). Ciro Greco has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Liliane Haegeman, Jon Sprouse, Ivano Caponigro, Carlo Cecchetto, Lucas Lacasa, Borja Requena, Federico Bianchi, Silvia Terragni, David Watson and Marco Marelli. Their work appears in journals such as Scientific Reports, The Linguistic Review, Cognitive Science, Natural Language & Linguistic Theory and Nature Machine Intelligence.
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.