Vitaveska Lanfranchi

41 papers receiving 508 citations

Peers

Vitaveska Lanfranchi
Comparison fields: 5 of 99
  • Artificial Intelligence 135
  • Global and Planetary Change 121
  • Sociology and Political Science 117
  • Radiology, Nuclear Medicine and Imaging 78
  • Computer Vision and Pattern Recognition 76
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Citations per year

Countries citing papers authored by Vitaveska Lanfranchi

Since Specialization
Citations

This map shows the geographic impact of Vitaveska Lanfranchi'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 Vitaveska Lanfranchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitaveska Lanfranchi more than expected).

Fields of papers citing papers by Vitaveska Lanfranchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vitaveska Lanfranchi. 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 Vitaveska Lanfranchi. The network helps show where Vitaveska Lanfranchi may publish in the future.

Co-authorship network of co-authors of Vitaveska Lanfranchi

This figure shows the co-authorship network connecting the top 25 collaborators of Vitaveska Lanfranchi. A scholar is included among the top collaborators of Vitaveska Lanfranchi 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 Vitaveska Lanfranchi. Vitaveska Lanfranchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
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8 88
9
GPS-based solution for tracking and protecting humanitarians in conflict zones
1
10
Machine Learning and Social Media in Crisis Management: Agility vs Ethics
5
11
Citizens observatories for effective Earth observations: the WeSenseIt Approach
8
12
Citizens' observatories for situation awareness in flooding
28
13
Visual analysis of real-time social media for emergency response
2
14
Roadmapping discussion summary:social media and linked data for emergency response
1
15
Straight to the information I need: Assessing collational interfaces for emergency response.
5
16
A semantic knowledge management framework for informal communication exchanges
2
17 6
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Cross-media document annotation and enrichment.
24
19 2
20 11

About Vitaveska Lanfranchi

Vitaveska Lanfranchi is a scholar working on Computational Mathematics, Geography, Planning and Development and Human-Computer Interaction, having authored 43 papers that have together received 538 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Semantic Web and Ontologies (7 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Computational Mathematics (6 citations), Global and Planetary Change (121 citations) and Ecological Modeling (24 citations). Vitaveska Lanfranchi has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Uta Wehn, Maria Rusca, Jaap Evers, Fabio Ciravegna, Po Yang, Neil Ireson, Ping Li, Huating Li, Bin Sheng and Anum Masood. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Environmental Science & Policy.

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.

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