Artur Rot
Impact in
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- Big Data and Business Intelligence
- Information Systems top 10%
- Information and Cyber Security
- Blockchain Technology Applications and Security
Papers in
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- Big Data and Business Intelligence 4
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- Information and Cyber Security 5
- Cloud Computing and Resource Management 4
- Blockchain Technology Applications and Security 4
Artur Rot
45 papers receiving 244 citations
Peers
Comparison fields: 5 of 77
- Management Information Systems 33
- Information Systems 78
- Management of Technology and Innovation 20
- Management Science and Operations Research 33
- Marketing 21
Countries citing papers authored by Artur Rot
This map shows the geographic impact of Artur Rot'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 Artur Rot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artur Rot more than expected).
Fields of papers citing papers by Artur Rot
This network shows the impact of papers produced by Artur Rot. 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 Artur Rot. The network helps show where Artur Rot may publish in the future.
Co-authors
The 10 scholars most cited alongside Artur Rot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 1 | |
| 10 | The Applications of the Internet of Things in the Context of the Smart City. Selected Security Issues | 2017 | 2 |
| 11 | Bezpieczeństwo jako najważniejsze wyzwanie koncepcji Internetu rzeczy | 2017 | 0 |
| 12 | Cloud computing jako nowy model biznesu : korzyści, zagrożenia i wyzwania dla zarządzania | 2017 | 2 |
| 13 | 2017 | 2 | |
| 14 | 2017 | 0 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 1 | |
| 18 | IT security threats in cloud computing sourcing model | 2013 | 14 |
| 19 | IT Security Risks in Modern Sourcing Models - Cloud Computing. An example | 2013 | 1 |
| 20 | Computer Support of Risk Analysis in Information Technology Environment. | 2009 | 2 |
About Artur Rot
Artur Rot is a scholar working on Management Information Systems, Information Systems, Management of Technology and Innovation, Artificial Intelligence and Marketing, having authored 53 papers that have together received 267 indexed citations. Recurring topics across this work include Information and Cyber Security (5 papers), Cloud Computing and Resource Management (4 papers), Blockchain Technology Applications and Security (4 papers), Big Data and Business Intelligence (4 papers), Statistical and Computational Modeling (4 papers), Scientific Research Methodologies and Applications (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Data Processing Techniques (3 papers). The work is most often cited by research in Management Information Systems (33 citations), Information Systems (78 citations), Management of Technology and Innovation (20 citations), Management Science and Operations Research (33 citations) and Marketing (21 citations). Artur Rot has collaborated with scholars based in Poland, Ukraine and Russia. Frequent co-authors include Marcin Hernes, Mykola Dyvak, Andriy Pukas, Dorota Jelonek, Andriy Melnyk, Natalia Porplytsya, Adrianna Kozierkiewicz, Paweł Stefaniak, Peter Busch and Bogdan Franczyk. Their work appears in journals such as Sustainability, Applied Sciences, Complexity, Sensors and Mathematics.
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.