Miklós Pakurár

32 total papers · 973 total citations
15 papers, 615 citations indexed

About

Miklós Pakurár is a scholar working on Strategy and Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Miklós Pakurár has authored 15 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Strategy and Management, 3 papers in Sociology and Political Science and 3 papers in Marketing. Recurrent topics in Miklós Pakurár's work include Organizational and Employee Performance (3 papers), Vehicle Routing Optimization Methods (2 papers) and Supply Chain Resilience and Risk Management (2 papers). Miklós Pakurár is often cited by papers focused on Organizational and Employee Performance (3 papers), Vehicle Routing Optimization Methods (2 papers) and Supply Chain Resilience and Risk Management (2 papers). Miklós Pakurár collaborates with scholars based in Hungary, South Africa and Vietnam. Miklós Pakurár's co-authors include Judit Oláh, József Popp, Hossam Haddad, János Nagy, Domícián Máté, János Nagy, Tehmina Khan, Muhammad Asif Khan, Duy Nguyen and Serhii Kozlovskyi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Journal of Business Economics and Management.

In The Last Decade

Miklós Pakurár

15 papers receiving 562 citations

Hit Papers

The Service Quality Dimen... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Miklós Pakurár 188 168 166 112 88 15 615
Rizwan Ullah Khan 190 1.0× 178 1.1× 181 1.1× 103 0.9× 51 0.6× 22 639
Sherine Farouk 106 0.6× 241 1.4× 155 0.9× 82 0.7× 65 0.7× 24 649
Matti Jaakkola 149 0.8× 239 1.4× 133 0.8× 168 1.5× 64 0.7× 18 523
Kojo Saffu 194 1.0× 183 1.1× 142 0.9× 200 1.8× 53 0.6× 23 666
Ahmad Adnan Al-Tit 165 0.9× 137 0.8× 173 1.0× 152 1.4× 54 0.6× 28 678
Shatha M. Obeidat 184 1.0× 241 1.4× 267 1.6× 93 0.8× 48 0.5× 16 603
Wen-Jung Chang 152 0.8× 269 1.6× 185 1.1× 151 1.3× 59 0.7× 24 671
Deepali Singh 135 0.7× 178 1.1× 170 1.0× 110 1.0× 64 0.7× 32 613
Lanita Winata 297 1.6× 263 1.6× 153 0.9× 122 1.1× 113 1.3× 18 675
Mahmoud Abdulai Mahmoud 265 1.4× 210 1.3× 212 1.3× 234 2.1× 59 0.7× 32 697

Countries citing papers authored by Miklós Pakurár

Since Specialization
Citations

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

Fields of papers citing papers by Miklós Pakurár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miklós Pakurár

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