Dan‐Andrei Sitar‐Tăut
Impact in
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- Technology Adoption and User Behaviour
- Health Informatics top 10%
Papers in
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- Digital Marketing and Social Media 10
- Impact of Technology on Adolescents 5
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- Technology Adoption and User Behaviour 10
- Co-authors
- Daniel Mican (16 shared papers)Adela Sitar-Tăut (8 shared papers)Ovidiu Ioan Moisescu (2 shared papers)Dana Pop (4 shared papers)Ahmad Samed Al‐Adwan (1 shared paper)Rana Muhammad Sohail Jafar (1 shared paper)Mihnea Zdrenghea (1 shared paper)Angela Cozma (4 shared papers)
In The Last Decade
Dan‐Andrei Sitar‐Tăut
27 papers receiving 486 citations
Peers
Comparison fields: 5 of 89
- Information Systems and Management 151
- Health Informatics 12
- Health Information Management 32
- Marketing 54
- Computer Science Applications 27
Countries citing papers authored by Dan‐Andrei Sitar‐Tăut
This map shows the geographic impact of Dan‐Andrei Sitar‐Tăut'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 Dan‐Andrei Sitar‐Tăut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan‐Andrei Sitar‐Tăut more than expected).
Fields of papers citing papers by Dan‐Andrei Sitar‐Tăut
This network shows the impact of papers produced by Dan‐Andrei Sitar‐Tăut. 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 Dan‐Andrei Sitar‐Tăut. The network helps show where Dan‐Andrei Sitar‐Tăut may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan‐Andrei Sitar‐Tăut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2021 | 78 | |
| 3 | 2020 | 48 | |
| 4 | Using Machine Learning Algorithms in Cardiovascular Disease Risk Evaluation | 2009 | 33 |
| 5 | 2010 | 33 | |
| 6 | 2024 | 27 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 17 | |
| 10 | 2009 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2018 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 6 |
About Dan‐Andrei Sitar‐Tăut
Dan‐Andrei Sitar‐Tăut is a scholar working on Sociology and Political Science, Information Systems and Management, Marketing, Artificial Intelligence and Management Information Systems, having authored 29 papers that have together received 506 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (10 papers), Technology Adoption and User Behaviour (10 papers), Impact of Technology on Adolescents (5 papers), Infrastructure Maintenance and Monitoring (2 papers), COVID-19 and Mental Health (2 papers), Big Data and Business Intelligence (2 papers), Artificial Intelligence in Healthcare (2 papers) and Consumer Retail Behavior Studies (2 papers). The work is most often cited by research in Information Systems and Management (151 citations), Health Informatics (12 citations), Health Information Management (32 citations), Marketing (54 citations) and Computer Science Applications (27 citations). Dan‐Andrei Sitar‐Tăut has collaborated with scholars based in Romania, Germany and Jordan. Frequent co-authors include Daniel Mican, Adela Sitar-Tăut, Ovidiu Ioan Moisescu, Dana Pop, Ahmad Samed Al‐Adwan, Rana Muhammad Sohail Jafar, Mihnea Zdrenghea, Angela Cozma, Olga Orășan and Lucia Maria Procopciuc. Their work appears in journals such as Online Information Review, Technological Forecasting and Social Change, Information Technology and Management, Biomedicines and European Journal of Clinical Investigation.
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.