Mateusz Dolata
- Management Information Systems top 5%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Safety Research top 5%
- Co-authors
- Gerhard SchwabeLiudmila ZavolokinaStefan FeuerriegelKevin CrowstonAlexander RichterIngrid BauerFalk UebernickelRaffaele Ciriello
- Topics
- Information Systems Theories and Implementation (9 papers)Knowledge Management and Sharing (9 papers)Service and Product Innovation (5 papers)
- Journals
- IEEE Transactions on Software EngineeringJournal of Medical Internet ResearchJournal of Management Information Systems
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Mateusz Dolata
38 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Management Information Systems 207
- Sociology and Political Science 158
- Information Systems 139
- Artificial Intelligence 128
- Safety Research 108
Countries citing papers authored by Mateusz Dolata
This map shows the geographic impact of Mateusz Dolata'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 Mateusz Dolata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Dolata more than expected).
Fields of papers citing papers by Mateusz Dolata
This network shows the impact of papers produced by Mateusz Dolata. 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 Mateusz Dolata. The network helps show where Mateusz Dolata may publish in the future.
Co-authorship network of co-authors of Mateusz Dolata
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Dolata. A scholar is included among the top collaborators of Mateusz Dolata 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 Mateusz Dolata. Mateusz Dolata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | What is the Metaverse and who seeks to define it? Mapping the site of social constructionbreakdown → | 95 |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 39 | |
| 19 | 13 | |
| 20 | 1 |
About Mateusz Dolata
Mateusz Dolata is a scholar working on Human-Computer Interaction, Communication and Information Systems and Management, having authored 47 papers that have together received 688 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (9 papers), Knowledge Management and Sharing (9 papers) and Service and Product Innovation (5 papers). The work is most often cited by research in Management Information Systems (207 citations), Health Informatics (29 citations) and Human-Computer Interaction (104 citations). Mateusz Dolata has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Gerhard Schwabe, Liudmila Zavolokina, Stefan Feuerriegel, Kevin Crowston, Alexander Richter, Ingrid Bauer, Falk Uebernickel, Raffaele Ciriello, Mario Angst and Xinran Wang. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Medical Internet Research and Journal of Management Information Systems.
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.