Łukasz Skrok
(Lukasz Skrok)

Personal Details

First Name:	Lukasz
Middle Name:
Last Name:	Skrok
Suffix:
RePEc Short-ID:	psk93
	[This author has chosen not to make the email address public]
Terminal Degree:	2016 Szkoła Główna Handlowa w Warszawie (from RePEc Genealogy)

Affiliation

Katedra Ekonomii Biznesu
Szkoła Główna Handlowa w Warszawie

Warszawa, Poland
http://kolegia.sgh.waw.pl/pl/KGS/struktura/keb/
RePEc:edi:kbsghpl (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.

Working papers

1. Gątkowski, Mateusz & Dietl, Marek & Skrok, Lukasz & Whalen, Ryan & Rockett, Katharine, 2018. "Patent Thickets Identification," Economics Discussion Papers 22928, University of Essex, Department of Economics.

   Cited by:

   1. Marcel Seip & Carolina Castaldi & Meindert Flikkema & Ard-Pieter de Man, 2019. "A taxonomy of firm-level IPR application practices to inform policy debates," LEM Papers Series 2019/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

2. Dietl, M & Skrok & Benalcazar, P & Gątkowski, M & Rockett, K, 2017. "Pendency and Thickets," Economics Discussion Papers 19979, University of Essex, Department of Economics.

   Cited by:

   1. Gątkowski, Mateusz & Dietl, Marek & Skrok, Łukasz & Whalen, Ryan & Rockett, Katharine, 2020. "Semantically-based patent thicket identification," Research Policy, Elsevier, vol. 49(2).

Articles

1. Gątkowski, Mateusz & Dietl, Marek & Skrok, Łukasz & Whalen, Ryan & Rockett, Katharine, 2020. "Semantically-based patent thicket identification," Research Policy, Elsevier, vol. 49(2).

   Cited by:

   1. Telg, Nina & Lokshin, Boris & Letterie, Wilko, 2023. "How formal and informal intellectual property protection matters for firms' decision to engage in coopetition: The role of environmental dynamism and competition intensity," Technovation, Elsevier, vol. 124(C).
   2. Wei Du & Yibo Wang & Wei Xu & Jian Ma, 2021. "A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9369-9391, December.
   3. Lorenz Brachtendorf & Fabian Gaessler & Dietmar Harhoff, 2023. "Truly standard‐essential patents? A semantics‐based analysis," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 132-157, January.
   4. Yawen Qin & Xiaozhen Qin & Haohui Chen & Xun Li & Wei Lang, 2021. "Measuring cognitive proximity using semantic analysis: A case study of China's ICT industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6059-6084, July.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-INO: Innovation (2) 2017-07-02 2018-09-10
2. NEP-IPR: Intellectual Property Rights (2) 2017-07-02 2018-09-10

Corrections

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