Cecilia Panigutti

695 citations
7 papers · 346 indexed · h-index 6
Topics
Explainable Artificial Intelligence (XAI) (5 papers)Artificial Intelligence in Healthcare and Education (4 papers)Machine Learning in Healthcare (4 papers)
Journals
Royal Society Open ScienceACM Transactions on Interactive Intelligent SystemsCHI Conference on Human Factors in Computing Systems
Partner nations
ItalySpainBelgium

In The Last Decade

Cecilia Panigutti

6 papers receiving 333 citations

Peers

Cecilia Panigutti
Comparison fields: 5 of 93
  • Artificial Intelligence 206
  • Health Informatics 102
  • Safety Research 49
  • Transportation 22
  • Information Systems 20
Replace Luc Rocher with:
Luc Rocher United Kingdom
Dimitris Kotzinos France
Pekka Ruotsalainen Finland
Alan Perotti Italy
Stefano Cirillo Italy
Christoph Kern Germany
Elizabeth Baylor Thailand
Zahra Shakeri Hossein Abad Canada
Waleed Iqbal United Kingdom
Kamil Kanclerz Poland
Cecilia Panigutti relative to Luc Rocher United Kingdom Luc Rocher's profile →
Citations per field
00.5×1.5×
Luc Rocher · 1×
Citations per year

Countries citing papers authored by Cecilia Panigutti

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Panigutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cecilia Panigutti

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 48
3 43
4 75
5 39
6 97
7 44

About Cecilia Panigutti

Cecilia Panigutti is a scholar working on Health Informatics, Safety Research and Modeling and Simulation, having authored 7 papers that have together received 346 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Informatics (102 citations), Artificial Intelligence (206 citations) and Safety Research (49 citations). Cecilia Panigutti has collaborated with scholars based in Italy, Spain and Belgium. Frequent co-authors include Dino Pedreschi, Alan Perotti, Fosca Giannotti, Andrea Beretta, Paolo Bajardi, Michele Tizzoni, Vittoria Colizza, Zbigniew Smoreda, André Panisson and Salvatore Rinzivillo. Their work appears in journals such as Royal Society Open Science, ACM Transactions on Interactive Intelligent Systems and CHI Conference on Human Factors in Computing Systems.

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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