Raffaello Seri

33 papers receiving 374 citations

Peers

Raffaello Seri
Comparison fields: 5 of 99
  • Management Science and Operations Research 124
  • General Decision Sciences 13
  • Numerical Analysis 35
  • Statistics and Probability 36
  • Economics and Econometrics 95
Replace János Mayer with:
János Mayer Switzerland
Rida Laraki France
Malcolm Pemberton United Kingdom
Fuad Aleskerov Russia
David S. Rubin United States
Alexander Mehlmann Austria
Karl Schmedders Switzerland
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Weiwei Guo China
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Citations per year

Countries citing papers authored by Raffaello Seri

Since Specialization
Citations

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

Fields of papers citing papers by Raffaello Seri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Raffaello Seri, 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 Raffaello Seri Line = papers co-authored together Raffaello Seri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010103
2 201353
3 201341
4 201627
5 200521
6 200320
7 201420
8 201111
9 20208
10 20158
11 20158
12 20058
13 20137
14 20126
15 20155
16 20105
17 20135
18 20074
19 20164
20 20194

About Raffaello Seri

Raffaello Seri is a scholar working on Management Science and Operations Research, Numerical Analysis, Economics and Econometrics, Applied Mathematics and Statistics and Probability, having authored 36 papers that have together received 393 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (7 papers), Multi-Criteria Decision Making (5 papers), Complex Systems and Time Series Analysis (4 papers), Decision-Making and Behavioral Economics (3 papers), Bayesian Methods and Mixture Models (3 papers), Analytic Number Theory Research (3 papers), Stochastic processes and financial applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Management Science and Operations Research (124 citations), General Decision Sciences (13 citations), Numerical Analysis (35 citations), Statistics and Probability (36 citations) and Economics and Econometrics (95 citations). Raffaello Seri has collaborated with scholars based in Italy, Spain and Denmark. Frequent co-authors include Christine Choirat, Michele Bernasconi, Davide Secchi, Luca Corazzini, Rocco Mosconi, Christian Hess, Giacomo Gigante, Leonardo Colzani, Massimo G. Colombo and Thomas B. Åstebro. Their work appears in journals such as Mathematics of Computation, Journal of Mathematical Psychology, Computational Statistics & Data Analysis, IEEE Communications Letters and The Annals of Probability.

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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