Marco Rocco

846 citations
35 papers · 455 · h-index 10

Impact in

  • Finance top 10%
    • Financial Risk and Volatility Modeling
    • Market Dynamics and Volatility
    • Italy: Economic History and Contemporary Issues
    • Climate Change Policy and Economics

Papers in

Marco Rocco

32 papers receiving 445 citations

Peers

Marco Rocco
Comparison fields: 5 of 89
  • Finance 87
  • Economics and Econometrics 150
  • Computational Mathematics 3
  • Management Science and Operations Research 61
  • General Economics, Econometrics and Finance 36
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Citations per year

Countries citing papers authored by Marco Rocco

Since Specialization
Citations

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

Fields of papers citing papers by Marco Rocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twenty-Eighth AAAI Conference on Artificial Intelligence
2014168
2 201379
3 201332
4 201525
5 202320
6 201619
7 201216
8 201711
9
Truthful Learning Mechanisms for Multi–Slot Sponsored Search Auctions with Externalities
201611
10 201310
11 20167
12 20236
13 20106
14 20106
15 20135
16 20194
17 20143
18 20153
19 20103
20 20113

About Marco Rocco

Marco Rocco is a scholar working on Economics and Econometrics, Management Science and Operations Research, Marketing, Finance and Nuclear and High Energy Physics, having authored 35 papers that have together received 455 indexed citations. Recurring topics across this work include Auction Theory and Applications (9 papers), Game Theory and Applications (7 papers), Particle physics theoretical and experimental studies (5 papers), Game Theory and Voting Systems (5 papers), Consumer Market Behavior and Pricing (5 papers), Classical Antiquity Studies (4 papers), High-Energy Particle Collisions Research (4 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). The work is most often cited by research in Finance (87 citations), Economics and Econometrics (150 citations), Computational Mathematics (3 citations), Management Science and Operations Research (61 citations) and General Economics, Econometrics and Finance (36 citations). Marco Rocco has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicola Gatti, Sofia Ceppi, Enrico Gerding, Rossana Riccardi, Giorgia Oggioni, Elisabetta Allevi, Tüomas Sandholm, Giorgio Patrini, Alessandro Lazaric and Adrian Signer. Their work appears in journals such as The Classical Quarterly, Journal of Global Optimization, Journal of Economic Surveys, Annals of Operations Research and Set-Valued and Variational Analysis.

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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