Jadranka Švarc

142 total papers · 878 total citations
47 papers, 569 citations indexed

About

Jadranka Švarc is a scholar working on Political Science and International Relations, Management of Technology and Innovation and Economics and Econometrics. According to data from OpenAlex, Jadranka Švarc has authored 47 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Political Science and International Relations, 18 papers in Management of Technology and Innovation and 17 papers in Economics and Econometrics. Recurrent topics in Jadranka Švarc's work include Regional Development and Policy (17 papers), University-Industry-Government Innovation Models (11 papers) and Innovation Policy and R&D (9 papers). Jadranka Švarc is often cited by papers focused on Regional Development and Policy (17 papers), University-Industry-Government Innovation Models (11 papers) and Innovation Policy and R&D (9 papers). Jadranka Švarc collaborates with scholars based in Croatia, United Kingdom and Russia. Jadranka Švarc's co-authors include Marina Dabić, Jasminka Lažnjak, David Smallbone, Jane Maley, Miguel González‐Loureiro, Tuğrul Daim and Božidar Vlačić and has published in prestigious journals such as Research Policy, Journal of Intellectual Capital and Technology in Society.

In The Last Decade

Jadranka Švarc

41 papers receiving 527 citations

Hit Papers

Future of digital work: C... 2023 2026 2024 2023 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jadranka Švarc 209 191 134 88 75 47 569
Ruxandra Bejinaru 199 1.0× 89 0.5× 126 0.9× 59 0.7× 99 1.3× 50 694
Ahmed Bounfour 419 2.0× 149 0.8× 91 0.7× 59 0.7× 49 0.7× 40 655
Soogwan Doh 181 0.9× 280 1.5× 182 1.4× 53 0.6× 136 1.8× 25 676
Antonio Lerro 440 2.1× 121 0.6× 135 1.0× 55 0.6× 44 0.6× 36 677
Jannika Mattes 196 0.9× 168 0.9× 132 1.0× 80 0.9× 209 2.8× 29 629
Baiba Rivža 87 0.4× 110 0.6× 116 0.9× 114 1.3× 66 0.9× 85 517
Giulio Pedrini 143 0.7× 133 0.7× 114 0.9× 38 0.4× 73 1.0× 38 556
Håkan Ylinenpää 236 1.1× 163 0.9× 340 2.5× 56 0.6× 82 1.1× 66 680
Keith Dickson 338 1.6× 155 0.8× 173 1.3× 41 0.5× 97 1.3× 41 641
Heidi Armbruster 333 1.6× 109 0.6× 104 0.8× 61 0.7× 140 1.9× 21 631

Countries citing papers authored by Jadranka Švarc

Since Specialization
Citations

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

Fields of papers citing papers by Jadranka Švarc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jadranka Švarc

This figure shows the co-authorship network connecting the top 25 collaborators of Jadranka Švarc. A scholar is included among the top collaborators of Jadranka Švarc 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 Jadranka Švarc. Jadranka Švarc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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