Claudio Macci

819 citations
82 papers · 468 · h-index 11

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Statistical Distribution Estimation and Applications

Papers in

Claudio Macci

72 papers receiving 442 citations

Peers

Claudio Macci
Comparison fields: 5 of 60
  • Finance 195
  • Statistics and Probability 111
  • Modeling and Simulation 60
  • Management Science and Operations Research 161
  • Mathematical Physics 72
Replace Pierre Patie with:
Pierre Patie United States
Gopal K. Basak India
Fuqing Gao China
Łukasz Stettner Poland
Richard H. Stockbridge United States
Uwe Küchler Germany
Maurice Robin United States
Andreas Neuenkirch Germany
Giulia Di Nunno Norway
Gyula Pap Hungary
Claudio Macci relative to Pierre Patie United States Pierre Patie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Claudio Macci

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Macci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudio Macci, 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 Claudio Macci Line = papers co-authored together Claudio Macci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200852
2 201042
3 200523
4 201322
5 201421
6 201221
7 200520
8 200418
9 201614
10 200812
11 200710
12 20209
13 20159
14 20148
15 20108
16 20148
17 20197
18 20127
19 20017
20 20107

About Claudio Macci

Claudio Macci is a scholar working on Finance, Management Science and Operations Research, Statistics and Probability, Mathematical Physics and Artificial Intelligence, having authored 82 papers that have together received 468 indexed citations. Recurring topics across this work include Probability and Risk Models (35 papers), Stochastic processes and financial applications (23 papers), Financial Risk and Volatility Modeling (23 papers), Stochastic processes and statistical mechanics (18 papers), Statistical Distribution Estimation and Applications (14 papers), Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Inference (13 papers) and Diffusion and Search Dynamics (10 papers). The work is most often cited by research in Finance (195 citations), Statistics and Probability (111 citations), Modeling and Simulation (60 citations), Management Science and Operations Research (161 citations) and Mathematical Physics (72 citations). Claudio Macci has collaborated with scholars based in Italy, Ireland and United States. Frequent co-authors include Luisa Beghin, Giovanni Luca Torrisi, Riccardo Silvestri, Andrea Clementi, Francesco Pasquale, Angelo Monti, Ayalvadi Ganesh, Lea Petrella, Barbara Martinucci and Antonio Di Crescenzo. Their work appears in journals such as Journal of Applied Probability, Journal of Mathematical Analysis and Applications, Stochastics, ESAIM Probability and Statistics and Insurance Mathematics and Economics.

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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