Mario Zanotti

502 total citations
13 papers, 227 citations indexed

About

Mario Zanotti is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mario Zanotti has authored 13 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atomic and Molecular Physics, and Optics, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mario Zanotti's work include Bayesian Modeling and Causal Inference (3 papers), Quantum Mechanics and Applications (3 papers) and Statistics Education and Methodologies (2 papers). Mario Zanotti is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Quantum Mechanics and Applications (3 papers) and Statistics Education and Methodologies (2 papers). Mario Zanotti collaborates with scholars based in United States. Mario Zanotti's co-authors include Patrick Suppes, John Fletcher and Thomas W. Malone and has published in prestigious journals such as Journal of Educational Psychology, Probability Theory and Related Fields and Instructional Science.

In The Last Decade

Mario Zanotti

12 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Zanotti United States 8 107 69 59 44 38 13 227
N. N. Vorob’ëv Belarus 9 123 1.1× 77 1.1× 74 1.3× 23 0.5× 18 0.5× 31 294
Jens Erik Fenstad Norway 12 187 1.7× 22 0.3× 11 0.2× 15 0.3× 23 0.6× 40 416
Raymond Ayoub United States 9 38 0.4× 11 0.2× 15 0.3× 29 0.7× 13 0.3× 33 482
Lars Löfgren Sweden 10 48 0.4× 30 0.4× 30 0.5× 39 0.9× 2 0.1× 33 234
María Luisa Dalla Chiara Italy 11 224 2.1× 25 0.4× 158 2.7× 61 1.4× 4 0.1× 44 412
Jarosław Pykacz Poland 8 136 1.3× 40 0.6× 144 2.4× 22 0.5× 16 0.4× 45 255
William H. Hay United States 4 125 1.2× 10 0.1× 10 0.2× 136 3.1× 27 0.7× 16 330
Constance Reid United States 8 23 0.2× 22 0.3× 13 0.2× 69 1.6× 54 1.4× 32 302
Richard Dedekind Switzerland 8 59 0.6× 7 0.1× 13 0.2× 110 2.5× 20 0.5× 19 351
Israel Kleiner Canada 12 22 0.2× 7 0.1× 21 0.4× 31 0.7× 57 1.5× 38 344

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-authorship network of co-authors of Mario Zanotti

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

All Works

13 of 13 papers shown
1.
Suppes, Patrick & Mario Zanotti. (1996). Foundations of Probability with Applications. Cambridge University Press eBooks. 8 indexed citations
2.
Suppes, Patrick & Mario Zanotti. (1991). New Bell-type inequalities forN > 4 necessary for existence of a hidden variable. Foundations of Physics Letters. 4(1). 101–107. 2 indexed citations
3.
Suppes, Patrick & Mario Zanotti. (1991). Existence of hidden variables having only upper probabilities. Foundations of Physics. 21(12). 1479–1499. 11 indexed citations
4.
Suppes, Patrick & Mario Zanotti. (1989). Conditions on upper and lower probabilities to imply probabilities. Erkenntnis. 31(2-3). 323–345. 9 indexed citations
5.
Suppes, Patrick & Mario Zanotti. (1982). Necessary and sufficient qualitative axioms for conditional probability. Probability Theory and Related Fields. 60(2). 163–169. 11 indexed citations
6.
Zanotti, Mario, et al.. (1981). When are probabilistic explanations possible?. Synthese. 48(2). 191–199. 98 indexed citations
7.
Zanotti, Mario, et al.. (1980). Probability kinematics. Synthese. 44(3). 421–442. 5 indexed citations
8.
Malone, Thomas W., et al.. (1979). Projecting student trajectories in a computer-assisted instruction curriculum.. Journal of Educational Psychology. 71(1). 74–84. 6 indexed citations
9.
Suppes, Patrick & Mario Zanotti. (1977). On using random relations to generate upper and lower probabilities. Synthese. 36(4). 427–440. 40 indexed citations
10.
Suppes, Patrick & Mario Zanotti. (1976). Necessary and sufficient conditions for existence of a unique measure strictly agreeing with a qualitative probability ordering. Journal of Philosophical Logic. 5(3). 431–438. 22 indexed citations
11.
Fletcher, John, et al.. (1975). Performance models of American indian students on computer-assisted instruction in elementary mathematics. Instructional Science. 4(3-4). 303–313. 10 indexed citations
12.
Suppes, Patrick & Mario Zanotti. (1974). Stochastic incompleteness of quantum mechanics. Synthese. 29(1-4). 311–330.
13.
Suppes, Patrick & Mario Zanotti. (1959). Foundations of Probability with Applications: Selected Papers 1974–1995. Medical Entomology and Zoology. 5 indexed citations

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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