Giovanni Colavizza
- Artificial Intelligence top 5%
- Information Systems top 5%
- Statistics, Probability and Uncertainty top 1%
- Information Systems and Management top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Nees Jan van EckLudo WaltmanBarbara McGillivrayKevin W. BoyackIain HrynaszkiewiczKirstie WhitakerMassimo FranceschetJulia Noordegraaf
- Topics
- Topic Modeling (13 papers)scientometrics and bibliometrics research (13 papers)Natural Language Processing Techniques (11 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementSpace and Planetary Science
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- NetherlandsSwitzerlandUnited Kingdom
In The Last Decade
Giovanni Colavizza
53 papers receiving 762 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 234
- Information Systems 233
- Statistics, Probability and Uncertainty 172
- Information Systems and Management 131
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Giovanni Colavizza
This map shows the geographic impact of Giovanni Colavizza'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 Giovanni Colavizza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Colavizza more than expected).
Fields of papers citing papers by Giovanni Colavizza
This network shows the impact of papers produced by Giovanni Colavizza. 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 Giovanni Colavizza. The network helps show where Giovanni Colavizza may publish in the future.
Co-authorship network of co-authors of Giovanni Colavizza
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Colavizza. A scholar is included among the top collaborators of Giovanni Colavizza 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 Giovanni Colavizza. Giovanni Colavizza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 63 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 171 | |
| 13 | 49 | |
| 14 | 31 | |
| 15 | 1 | |
| 16 | Quantifying the long-term influence of scientific publications. | 1 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 6 |
About Giovanni Colavizza
Giovanni Colavizza is a scholar working on Statistics, Probability and Uncertainty, Conservation and Communication, having authored 61 papers that have together received 814 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), scientometrics and bibliometrics research (13 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (172 citations), Information Systems and Management (131 citations) and Space and Planetary Science (23 citations). Giovanni Colavizza has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Nees Jan van Eck, Ludo Waltman, Barbara McGillivray, Kevin W. Boyack, Iain Hrynaszkiewicz, Kirstie Whitaker, Massimo Franceschet, Julia Noordegraaf, Tobias Blanke and Robert West. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.