Gergely Csurilla

Personal Details

First Name:	Gergely
Middle Name:
Last Name:	Csurilla
Suffix:
RePEc Short-ID:	pcs27

Affiliation

(70%) Közgazdaság-tudományi Intézet
Közgazdaság- és Regionális Tudományi Kutatóközpont

Budapest, Hungary
http://www.mtakti.hu/
RePEc:edi:iehashu (more details at EDIRC)

(30%) Sportgazdasági és Döntéstudományi Kutató Központ
Testnevelési Egyetem

Budapest, Hungary
https://brainsporting.tf.hu/
RePEc:edi:sgdtfhu (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Gergely Csurilla & András Gyimesi & Erika Kendelényi-Gulyás & Tamás Sterbenz, 2021. "Where is victory most certain? The level of luck-based noise factor in Summer Olympic Games," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 71(3), pages 369-386, September.

   Cited by:

   1. Csató, László & Petróczy, Dóra Gréta, 2022. "Hogyan számszerűsíthető az ösztönzéskompatibilitás? Esettanulmány a sport világából [Quantifying incentive compatibility: a case study from the world of sports]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 841-852.
   2. Gergely Csurilla & Zoltán Boros & Diána Ivett Fűrész & András Gyimesi & Markus Raab & Tamás Sterbenz, 2023. "How Much Is Winning a Matter of Luck? A Comparison of 3 × 3 and 5v5 Basketball," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
   3. Csató, László & Bodnár, Gergely, 2023. "Mérhetnénk jobban a csapatok erejét a Bajnokok Ligájában? Fontos megjegyzés az Európai Labdarúgó-szövetség számára [How to better measure team strength in the Champions League. An important message," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 813-827.

More information

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Statistics

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Co-authorship network on CollEc

Corrections

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