Federico Nanni
- Artificial Intelligence top 5%
- Information Systems and Management top 2%
- Statistics, Probability and Uncertainty top 2%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Simone Paolo PonzettoMáté PálfyJessica PolkaG.K. DeyJonathon Alexis CoatesLiam BrierleyNicholas FraserGoran Glavaš
- Topics
- Topic Modeling (25 papers)Computational and Text Analysis Methods (12 papers)Natural Language Processing Techniques (10 papers)
- Cited by
- Information Systems and ManagementGeneral Social SciencesStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaPLoS BiologyFrontiers in Human Neuroscience
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Federico Nanni
41 papers receiving 597 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 234
- Information Systems and Management 180
- Statistics, Probability and Uncertainty 142
- Information Systems 102
- Sociology and Political Science 96
Countries citing papers authored by Federico Nanni
This map shows the geographic impact of Federico Nanni'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 Federico Nanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Nanni more than expected).
Fields of papers citing papers by Federico Nanni
This network shows the impact of papers produced by Federico Nanni. 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 Federico Nanni. The network helps show where Federico Nanni may publish in the future.
Co-authorship network of co-authors of Federico Nanni
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Nanni. A scholar is included among the top collaborators of Federico Nanni 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 Federico Nanni. Federico Nanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 54 | |
| 7 | 10 | |
| 8 | The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscapebreakdown → | 239 |
| 9 | 4 | |
| 10 | 6 | |
| 11 | Enhancing Domain-Specific Entity Linking in DH. | 3 |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | Web Historiography - A New Challenge for Digital Humanities? | 0 |
| 18 | Entity relatedness for retrospective analyses of global events | 3 |
| 19 | Classifying topics and detecting topic shifts in political manifestos | 16 |
| 20 | 47 |
About Federico Nanni
Federico Nanni is a scholar working on General Social Sciences, Artificial Intelligence and Communication, having authored 43 papers that have together received 636 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Computational and Text Analysis Methods (12 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Information Systems and Management (180 citations), General Social Sciences (73 citations) and Statistics, Probability and Uncertainty (142 citations). Federico Nanni has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Simone Paolo Ponzetto, Máté Pálfy, Jessica Polka, G.K. Dey, Jonathon Alexis Coates, Liam Brierley, Nicholas Fraser, Goran Glavaš, Laura Dietz and Kasra Hosseini. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS Biology and Frontiers in Human Neuroscience.
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.