Mario Belloni

845 citations
44 papers · 541 · h-index 13

Impact in

Papers in

Mario Belloni

42 papers receiving 486 citations

Peers

Mario Belloni
Comparison fields: 5 of 65
  • Media Technology 130
  • Statistical and Nonlinear Physics 161
  • Developmental and Educational Psychology 119
  • Education 231
  • Architecture 9
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Anna De Ambrosis Italy
Stamatis Vokos United States
Marisa Michelini Italy
Kyle Forinash United States
Massimiliano Malgieri Italy
Antje Kohnle United Kingdom
Gina Passante United States
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Benjamin M. Zwickl United States
Beth Thacker United States
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Citations per field
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Citations per year

Countries citing papers authored by Mario Belloni

Since Specialization
Citations

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

Fields of papers citing papers by Mario Belloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mario Belloni, 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 Belloni Line = papers co-authored together Mario Belloni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006110
2 201469
3
Physlets: Teaching Physics with Interactive Curricular Material
200059
4 200334
5 200322
6
Physlet physics : interactive illustrations, explorations, and problems for introductory physics
200420
7 200416
8 200516
9 200815
10 200514
11 200513
12 201512
13 200712
14 200810
15 199710
16 20137
17 20087
18 20047
19
Physlet Quantum Physics: an Interactive Introduction
20067
20 19977

About Mario Belloni

Mario Belloni is a scholar working on Statistical and Nonlinear Physics, Education, Atomic and Molecular Physics, and Optics, Media Technology and Artificial Intelligence, having authored 44 papers that have together received 541 indexed citations. Recurring topics across this work include Science Education and Pedagogy (12 papers), Experimental and Theoretical Physics Studies (12 papers), Experimental Learning in Engineering (9 papers), Computational Physics and Python Applications (7 papers), Quantum Mechanics and Non-Hermitian Physics (7 papers), Quantum chaos and dynamical systems (6 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). The work is most often cited by research in Media Technology (130 citations), Statistical and Nonlinear Physics (161 citations), Developmental and Educational Psychology (119 citations), Education (231 citations) and Architecture (9 citations). Mario Belloni has collaborated with scholars based in United States, Spain and Portugal. Frequent co-authors include Wolfgang Christian, R. W. Robinett, Chandralekha Singh, Anne J. Cox, Melissa Dancy, M. A. Doncheski, Lusheng Chen, Kurt Haller, Douglas Brown and Francisco Esquembre. Their work appears in journals such as Computing in Science & Engineering, Journal of Physics A Mathematical and Theoretical, Physics Today, Physics Letters B and The Physics Teacher.

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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