Marco Cattaneo

1.1k citations
66 papers · 332 indexed · h-index 11

Marco Cattaneo

60 papers receiving 319 citations

Peers

Marco Cattaneo
Comparison fields: 5 of 97
  • Statistics and Probability 49
  • Management Science and Operations Research 67
  • Chemical Health and Safety 2
  • Artificial Intelligence 86
  • Ophthalmology 24
Replace Rui Almeida with:
Rui Almeida Netherlands
Youxi Luo China
Bo Peng China
Laura Azzimonti Switzerland
Haithem Taha Mohammad Ali Iraq
Juri Yanase United States
J. Soares Portugal
L.S. Goodenday United States
Santi Wulan Purnami Indonesia
Zhongyu Wang China
Marco Cattaneo relative to Rui Almeida Netherlands Rui Almeida's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marco Cattaneo

Since Specialization
Citations

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

Fields of papers citing papers by Marco Cattaneo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marco Cattaneo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Cattaneo Line = papers co-authored together Marco Cattaneo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20254
5 20240
6 20243
7 20235
8 20231
9 20235
10 20231
11 20226
12 20221
13 20217
14 20192
15 20193
16
Empirical interpretation of imprecise probabilities
20171
17 201716
18 20154
19
ExoMars MSA. Testing Activities for EDM Separation Performance Verification
20140
20 201217

About Marco Cattaneo

Marco Cattaneo is a scholar working on Chemical Health and Safety, Statistics and Probability and Management Science and Operations Research, having authored 66 papers that have together received 332 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (8 papers), Coronary Interventions and Diagnostics (8 papers), Bayesian Modeling and Causal Inference (8 papers), Advanced Statistical Methods and Models (7 papers), Rough Sets and Fuzzy Logic (6 papers), Fuzzy Systems and Optimization (6 papers), Statistical Methods and Inference (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Statistics and Probability (49 citations), Management Science and Operations Research (67 citations) and Chemical Health and Safety (2 citations). Marco Cattaneo has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Andrea Wiencierz, Raban Jeger, Bruno Scheller, Nicole Gilgen, Ahmed Farah, Jochen Wöhrle, Paolo Cardillo, Norman Mangner, Marc‐Alexander Ohlow and Hendrik P. N. Scholl. Their work appears in journals such as European Heart Journal, Journal of neurosurgery and Journal of Applied Ecology.

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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