Panos Desyllas

967 total citations
20 papers, 685 citations indexed

About

Panos Desyllas is a scholar working on Strategy and Management, Economics and Econometrics and Accounting. According to data from OpenAlex, Panos Desyllas has authored 20 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Strategy and Management, 10 papers in Economics and Econometrics and 10 papers in Accounting. Recurrent topics in Panos Desyllas's work include Innovation and Knowledge Management (11 papers), Corporate Finance and Governance (7 papers) and Private Equity and Venture Capital (6 papers). Panos Desyllas is often cited by papers focused on Innovation and Knowledge Management (11 papers), Corporate Finance and Governance (7 papers) and Private Equity and Venture Capital (6 papers). Panos Desyllas collaborates with scholars based in United Kingdom, United States and Netherlands. Panos Desyllas's co-authors include Mari Sako, Alan Hughes, Marcela Miozzo, Ian Miles, Hsing‐fen Lee, Lori DiVito, Ammon Salter, Oliver Alexy, Christos Pitelis and Martin C. Goossen and has published in prestigious journals such as Research Policy, Journal of Management Studies and Long Range Planning.

In The Last Decade

Panos Desyllas

18 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Panos Desyllas United Kingdom	10	418	260	153	150	103	20	685
Jojo Jacob Netherlands	14	387 0.9×	213 0.8×	160 1.0×	167 1.1×	84 0.8×	31	627
Yue Maggie Zhou United States	10	330 0.8×	127 0.5×	86 0.6×	50 0.3×	101 1.0×	38	551
Jens Frøslev Christensen Denmark	9	678 1.6×	234 0.9×	90 0.6×	258 1.7×	66 0.6×	15	915
Marc Sosna Spain	4	516 1.2×	88 0.3×	71 0.5×	186 1.2×	172 1.7×	7	729
George A. Shinkle Australia	12	503 1.2×	169 0.7×	279 1.8×	125 0.8×	97 0.9×	30	884
Sebastian Firk Germany	13	344 0.8×	167 0.6×	168 1.1×	132 0.9×	87 0.8×	36	719
Henry Chesbrough United States	10	535 1.3×	217 0.8×	84 0.5×	250 1.7×	96 0.9×	17	803
Shu Han United States	10	415 1.0×	152 0.6×	95 0.6×	90 0.6×	57 0.6×	31	749
Ainurul Rosli United Kingdom	10	296 0.7×	123 0.5×	42 0.3×	273 1.8×	79 0.8×	19	602

Countries citing papers authored by Panos Desyllas

Since Specialization

Citations

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

Fields of papers citing papers by Panos Desyllas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panos Desyllas

This figure shows the co-authorship network connecting the top 25 collaborators of Panos Desyllas. A scholar is included among the top collaborators of Panos Desyllas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Panos Desyllas. Panos Desyllas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Desyllas, Panos, Martin C. Goossen, & Corey Phelps. (2023). Investors’ Reactions to Alliance‐Engendered Acquisition Ambiguity: Evidence from U.S. Technology Deals. Journal of Management Studies. 61(4). 1618–1653. 4 indexed citations

Desyllas, Panos, et al.. (2023). Customization, Innovation and the Particularization Trap: Evidence from Knowledge-intensive Firms. Academy of Management Proceedings. 2023(1).

Desyllas, Panos, Ammon Salter, & Oliver Alexy. (2020). The breadth of business model reconfiguration and firm performance. Strategic Organization. 20(2). 231–269. 27 indexed citations

Desyllas, Panos, Marcela Miozzo, Hsing‐fen Lee, & Ian Miles. (2018). Capturing Value from Innovation in Knowledge‐Intensive Business Service Firms: The Role of Competitive Strategy. British Journal of Management. 29(4). 769–795. 44 indexed citations

Pitelis, Christos, et al.. (2017). Profiting from Innovation through Cross‐Border Market co‐Creation and co‐Opetition: The Case of Global Pharmaceuticals. European Management Review. 15(4). 491–504. 14 indexed citations

Miozzo, Marcela, Panos Desyllas, Hsing‐fen Lee, & Ian Miles. (2016). Innovation collaboration and appropriability by knowledge-intensive business services firms. Research Policy. 45(7). 1337–1351. 125 indexed citations

Miozzo, Marcela, Lori DiVito, & Panos Desyllas. (2015). When do Acquirers Invest in the R&D Assets of Acquired Science-based Firms in Cross-border Acquisitions? The Role of Technology and Capabilities Similarity and Complementarity. Long Range Planning. 49(2). 221–240. 23 indexed citations

Miozzo, Marcela, et al.. (2015). Combining Appropriability Mechanisms for Innovation Collaboration: Evidence from a Survey of Knowledge-intensive Service Firms. 1 indexed citations

Desyllas, Panos, et al.. (2014). International Collaboration Through Market Co-creation as an Alternative to Competition: Strategies for Emerging Country Pharmaceutical Firms. 1 indexed citations

10.

Desyllas, Panos, Mari Sako, & Bruce Tether. (2013). Business Model Innovation and IP Protection: Profitable Strategies for Incumbents and Entrants. Academy of Management Proceedings. 2013(1). 16200–16200.

11.

Desyllas, Panos & Mari Sako. (2012). Profiting from business model innovation: Evidence from Pay-As-You-Drive auto insurance. Research Policy. 42(1). 101–116. 247 indexed citations

12.

Desyllas, Panos & Mari Sako. (2011). Profiting from Business Model Innovation: Evidence from Pay-as-You-Drive Auto Insurance. SSRN Electronic Journal. 1 indexed citations

13.

Miozzo, Marcela, Lori DiVito, & Panos Desyllas. (2011). Cross-border acquisitions of science-based firms: their effect on innovation in the acquired firm and the local science and technology system. Research Explorer (The University of Manchester). 4 indexed citations

14.

Desyllas, Panos & Alan Hughes. (2010). Do high technology acquirers become more innovative?. Research Policy. 39(8). 1105–1121. 91 indexed citations

15.

Desyllas, Panos & Alan Hughes. (2009). The revealed preferences of high technology acquirers: An analysis of the innovation characteristics of their targets. Cambridge Journal of Economics. 33(6). 1089–1111. 30 indexed citations

16.

Desyllas, Panos. (2008). Improving performance through vertical disintegration: evidence from UK manufacturing firms. Managerial and Decision Economics. 30(5). 307–324. 5 indexed citations

17.

Desyllas, Panos & Alan Hughes. (2008). Sourcing Technological Knowledge Through Corporate Acquisition: Evidence from an International Sample of High Technology Firms. SSRN Electronic Journal. 5 indexed citations

18.

Desyllas, Panos. (2008). Improving Performance Through Vertical Disintegration: Evidence from U.K. Manufacturing Firms. SSRN Electronic Journal. 1 indexed citations

19.

Desyllas, Panos & Alan Hughes. (2008). Sourcing technological knowledge through corporate acquisition: Evidence from an international sample of high technology firms. The Journal of High Technology Management Research. 18(2). 157–172. 48 indexed citations

20.

Desyllas, Panos & Alan Hughes. (2005). R&D and Patenting Activity and the Propensity to Acquire in High Technology Industries. 14 indexed citations

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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