Nadja Damij

85 total papers · 898 total citations
37 papers, 484 citations indexed

About

Nadja Damij is a scholar working on Management Information Systems, Information Systems and Strategy and Management. According to data from OpenAlex, Nadja Damij has authored 37 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Information Systems, 9 papers in Information Systems and 7 papers in Strategy and Management. Recurrent topics in Nadja Damij's work include Business Process Modeling and Analysis (7 papers), Big Data and Business Intelligence (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Nadja Damij is often cited by papers focused on Business Process Modeling and Analysis (7 papers), Big Data and Business Intelligence (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Nadja Damij collaborates with scholars based in Slovenia, United Kingdom and Norway. Nadja Damij's co-authors include Femi Olan, Jana Suklan, Franklin Nakpodia, Uchitha Jayawickrama, Emmanuel Ogiemwonyi Arakpogun, James A. Cunningham, Zoran Levnajić, S. D. Bhattacharya, Luka Čehovin Zajc and Biljana Mileva Boshkoska and has published in prestigious journals such as PLoS ONE, Journal of Business Research and Industrial Marketing Management.

In The Last Decade

Nadja Damij

36 papers receiving 442 citations

Hit Papers

Artificial intelligence a... 2022 2026 2023 2024 2022 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
Nadja Damij 163 100 77 76 71 37 484
Eleni Aravopoulou 156 1.0× 109 1.1× 72 0.9× 76 1.0× 49 0.7× 31 502
Yen Cheung 220 1.3× 78 0.8× 78 1.0× 80 1.1× 43 0.6× 43 510
Thomas Grisold 220 1.3× 115 1.1× 76 1.0× 38 0.5× 52 0.7× 39 436
Haili Zhang 141 0.9× 137 1.4× 79 1.0× 41 0.5× 46 0.6× 32 441
Anthony Marshall 168 1.0× 182 1.8× 46 0.6× 36 0.5× 64 0.9× 46 504
Stephan Kudyba 160 1.0× 142 1.4× 72 0.9× 49 0.6× 31 0.4× 31 503
Guido Capaldo 130 0.8× 159 1.6× 113 1.5× 39 0.5× 98 1.4× 39 541
José Braga de Vasconcelos 164 1.0× 113 1.1× 52 0.7× 69 0.9× 38 0.5× 32 487
Jonny Holmström 196 1.2× 142 1.4× 57 0.7× 36 0.5× 73 1.0× 20 482
Khuram Shahzad 131 0.8× 211 2.1× 38 0.5× 43 0.6× 65 0.9× 37 504

Countries citing papers authored by Nadja Damij

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Damij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Damij

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