Mario Zanotti

506 citations
13 papers · 227 · h-index 8

Impact in

Papers in

Mario Zanotti

12 papers receiving 204 citations

Peers

Mario Zanotti
Comparison fields: 5 of 45
  • History and Philosophy of Science 44
  • General Decision Sciences 17
  • Management Science and Operations Research 69
  • Statistics and Probability 38
  • Artificial Intelligence 107
Replace Grzegorz Malinowski with:
Grzegorz Malinowski Poland
María Luisa Dalla Chiara Italy
Raymond Ayoub United States
Alena Vencovská United Kingdom
David Corfield United Kingdom
Constance Reid United States
Peter Krauss United States
Stephen C Kleene United States
Sonja Smets Netherlands
Richard Dedekind Germany
Mario Zanotti relative to Grzegorz Malinowski Poland Grzegorz Malinowski's profile →
Citations per field
00.5×
Grzegorz Malinowski · 1×
Citations per year

Countries citing papers authored by Mario Zanotti

Since Specialization
Citations

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

Fields of papers citing papers by Mario Zanotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Mario Zanotti, 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 Mario Zanotti Line = papers co-authored together Mario Zanotti links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 198198
2 197740
3 197622
4 198211
5 199111
6 197510
7 19899
8 19968
9 19796
10 19805
11 19595
12 19912
13 19740

About Mario Zanotti

Mario Zanotti is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Statistical and Nonlinear Physics, having authored 13 papers that have together received 227 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Quantum Mechanics and Applications (3 papers), Statistics Education and Methodologies (2 papers), Multi-Criteria Decision Making (2 papers), Statistical Mechanics and Entropy (2 papers), Rough Sets and Fuzzy Logic (2 papers), Probability and Statistical Research (1 paper) and Fuzzy Systems and Optimization (1 paper). The work is most often cited by research in History and Philosophy of Science (44 citations), General Decision Sciences (17 citations), Management Science and Operations Research (69 citations), Statistics and Probability (38 citations) and Artificial Intelligence (107 citations). Mario Zanotti has collaborated with scholars based in United States. Frequent co-authors include Patrick Suppes, John Fletcher and Thomas W. Malone. Their work appears in journals such as Synthese, Journal of Educational Psychology, Erkenntnis, Instructional Science and Probability Theory and Related Fields.

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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