Mario Dobrovnik

12 total papers · 560 total citations
9 papers, 371 citations indexed

About

Mario Dobrovnik is a scholar working on Strategy and Management, Information Systems and Management Information Systems. According to data from OpenAlex, Mario Dobrovnik has authored 9 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Strategy and Management, 3 papers in Information Systems and 2 papers in Management Information Systems. Recurrent topics in Mario Dobrovnik's work include Sustainable Supply Chain Management (5 papers), Supply Chain Resilience and Risk Management (3 papers) and Blockchain Technology Applications and Security (3 papers). Mario Dobrovnik is often cited by papers focused on Sustainable Supply Chain Management (5 papers), Supply Chain Resilience and Risk Management (3 papers) and Blockchain Technology Applications and Security (3 papers). Mario Dobrovnik collaborates with scholars based in Austria, Australia and Vietnam. Mario Dobrovnik's co-authors include Sebastian Kummer, David M. Herold, Elmar Fürst, Nicole Schäfer and Stefan Schoenfelder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Internet and Transportation Research Interdisciplinary Perspectives.

In The Last Decade

Mario Dobrovnik

9 papers receiving 340 citations

Hit Papers

Blockchain for and in Log... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Mario Dobrovnik 242 177 133 39 33 9 371
Niels Hackius 326 1.3× 136 0.8× 131 1.0× 43 1.1× 36 1.1× 4 375
Stefan Tönnissen 264 1.1× 149 0.8× 136 1.0× 18 0.5× 34 1.0× 7 332
Justin Sunny 284 1.2× 136 0.8× 114 0.9× 30 0.8× 48 1.5× 4 409
Ming-Fang Lu 354 1.5× 165 0.9× 168 1.3× 48 1.2× 52 1.6× 3 436
Jestin Johny 191 0.8× 224 1.3× 128 1.0× 34 0.9× 37 1.1× 5 375
Maximilian Klöckner 191 0.8× 204 1.2× 134 1.0× 72 1.8× 27 0.8× 9 393
Arim Park 148 0.6× 119 0.7× 67 0.5× 30 0.8× 29 0.9× 16 333
Mladen Jardas 265 1.1× 100 0.6× 97 0.7× 106 2.7× 45 1.4× 15 408
Soumaya Ben Dhaou 218 0.9× 80 0.5× 91 0.7× 36 0.9× 47 1.4× 20 425
Suling Jia 172 0.7× 126 0.7× 105 0.8× 50 1.3× 59 1.8× 32 398

Countries citing papers authored by Mario Dobrovnik

Since Specialization
Citations

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

Fields of papers citing papers by Mario Dobrovnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Dobrovnik

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Dobrovnik. A scholar is included among the top collaborators of Mario Dobrovnik 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 Mario Dobrovnik. Mario Dobrovnik 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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