Dan‐Andrei Sitar‐Tăut

750 total citations
29 papers, 483 citations indexed

About

Dan‐Andrei Sitar‐Tăut is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Dan‐Andrei Sitar‐Tăut has authored 29 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 10 papers in Information Systems and Management and 5 papers in Marketing. Recurrent topics in Dan‐Andrei Sitar‐Tăut's work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (10 papers) and Impact of Technology on Adolescents (5 papers). Dan‐Andrei Sitar‐Tăut is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (10 papers) and Impact of Technology on Adolescents (5 papers). Dan‐Andrei Sitar‐Tăut collaborates with scholars based in Romania, Jordan and Germany. Dan‐Andrei Sitar‐Tăut's co-authors include Daniel Mican, Adela Sitar-Tăut, Dana Pop, Ovidiu Ioan Moisescu, Rana Muhammad Sohail Jafar, Ahmad Samed Al‐Adwan, Mihnea Zdrenghea, Lucia Maria Procopciuc, Angela Cozma and Olga Orășan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

Dan‐Andrei Sitar‐Tăut

27 papers receiving 459 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan‐Andrei Sitar‐Tăut Romania 12 152 128 116 79 52 29 483
Carmen Lewis United States 8 111 0.7× 158 1.2× 44 0.4× 66 0.8× 23 0.4× 34 375
Gül Tokdemir Türkiye 10 141 0.9× 94 0.7× 83 0.7× 69 0.9× 11 0.2× 26 428
N. D. Oye Nigeria 10 166 1.1× 89 0.7× 103 0.9× 109 1.4× 13 0.3× 25 494
Yuanyuan Feng United States 13 56 0.4× 252 2.0× 105 0.9× 111 1.4× 9 0.2× 28 519
Nicholas Frick Germany 11 35 0.2× 95 0.7× 188 1.6× 41 0.5× 5 0.1× 16 607
Sharon Swee-Lin Tan Singapore 8 97 0.6× 98 0.8× 48 0.4× 40 0.5× 7 0.1× 18 469
Sigmund Akselsen Norway 8 93 0.6× 167 1.3× 31 0.3× 38 0.5× 9 0.2× 20 354
Natasha Moorhouse United Kingdom 10 116 0.8× 256 2.0× 36 0.3× 51 0.6× 10 0.2× 12 685
Na Yu China 9 139 0.9× 100 0.8× 43 0.4× 29 0.4× 3 0.1× 20 434
Robert G. Brookshire United States 11 190 1.3× 268 2.1× 53 0.5× 81 1.0× 3 0.1× 28 531

Countries citing papers authored by Dan‐Andrei Sitar‐Tăut

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan‐Andrei Sitar‐Tăut

This figure shows the co-authorship network connecting the top 25 collaborators of Dan‐Andrei Sitar‐Tăut. A scholar is included among the top collaborators of Dan‐Andrei Sitar‐Tăut 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 Dan‐Andrei Sitar‐Tăut. Dan‐Andrei Sitar‐Tăut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bunduchi, Raluca, Dan‐Andrei Sitar‐Tăut, & Daniel Mican. (2025). A legitimacy-based explanation for user acceptance of controversial technologies: The case of Generative AI. Technological Forecasting and Social Change. 215. 124095–124095. 4 indexed citations
2.
Sitar‐Tăut, Dan‐Andrei, et al.. (2025). Influence of short-form video advertising on purchase intention in social commerce: the power of word-of-mouth and flow experience. Online Information Review. 50(1). 77–96.
3.
Al‐Adwan, Ahmad Samed, Rana Muhammad Sohail Jafar, & Dan‐Andrei Sitar‐Tăut. (2024). Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory. Asia Pacific Management Review. 29(4). 477–498. 23 indexed citations
4.
Sitar‐Tăut, Dan‐Andrei & Daniel Mican. (2022). Social media exposure assessment: influence on attitudes toward generic vaccination during the COVID-19 pandemic. Online Information Review. 47(1). 138–161. 14 indexed citations
6.
Sitar‐Tăut, Dan‐Andrei & Daniel Mican. (2021). Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2. Online Information Review. 45(5). 1000–1019. 83 indexed citations
7.
Mican, Daniel, et al.. (2021). ONLINE EDUCATION: EVALUATION OF STUDENTS PERCEPTION DURING THE COVID-19 PANDEMIC. 14(2). 99–110. 1 indexed citations
8.
Sitar‐Tăut, Dan‐Andrei, Daniel Mican, & Robert Andrei Buchmann. (2021). A knowledge-driven digital nudging approach to recommender systems built on a modified Onicescu method. Expert Systems with Applications. 181. 115170–115170. 10 indexed citations
9.
Sitar‐Tăut, Dan‐Andrei. (2021). Mobile learning acceptance in social distancing during the COVID ‐19 outbreak: The mediation effect of hedonic motivation. Human Behavior and Emerging Technologies. 3(3). 366–378. 76 indexed citations
10.
Orășan, Olga, Adela Sitar-Tăut, Raluca Tomoaia, et al.. (2020). Assessment of subclinical diabetic cardiomyopathy by speckle‐tracking imaging. European Journal of Clinical Investigation. 51(4). e13475–e13475. 22 indexed citations
11.
Mican, Daniel & Dan‐Andrei Sitar‐Tăut. (2020). Analysis of the Factors Impacting the Online Shopping Decision-Making Process. 65(1). 54–66. 13 indexed citations
12.
Sitar‐Tăut, Dan‐Andrei, Daniel Mican, & Codruța Mare. (2020). Customer Behavior in the Prior Purchase Stage – Information Search Versus Recommender Systems. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 54(3/2020). 59–76. 6 indexed citations
13.
Sitar‐Tăut, Dan‐Andrei & Daniel Mican. (2019). MRS OZ: managerial recommender system for electronic commerce based on Onicescu method and Zipf’s law. Information Technology and Management. 21(2). 131–143. 7 indexed citations
14.
Cramariuc, Bogdan, et al.. (2019). ROAD MAINTENANCE USING IMAGE ACQUISITION PROTOTYPE FOR NON-SPECIALIZED VEHICLE. Environmental Engineering and Management Journal. 18(8). 1849–1857. 1 indexed citations
15.
Sitar-Tăut, Adela, Dan‐Andrei Sitar‐Tăut, Oana Cramariuc, et al.. (2018). Smart homes for older people involved in rehabilitation activities - reality or dream, acceptance or rejection?. SHILAP Revista de lepidopterología. 9(3). 291–298. 9 indexed citations
16.
Sitar‐Tăut, Dan‐Andrei, et al.. (2011). Initiatives in the Romanian eHealth Landscape. 15(2). 38–45. 1 indexed citations
17.
Sitar‐Tăut, Dan‐Andrei & Adela Sitar-Tăut. (2010). Overview on How Data Mining Tools May Support Cardiovascular Disease Prediction. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Procopciuc, Lucia Maria, et al.. (2010). Renin angiotensin system polymorphisms in patients with metabolic syndrome (MetS). European Journal of Internal Medicine. 21(5). 414–418. 34 indexed citations
19.
Sitar‐Tăut, Dan‐Andrei, Dana Pop, Mihnea Zdrenghea, & Adela Sitar-Tăut. (2009). Using Machine Learning Algorithms in Cardiovascular Disease Risk Evaluation. SHILAP Revista de lepidopterología. 33 indexed citations
20.
Breşfelean, Vasile Paul, et al.. (2009). Towards the development of decision support in academic environments. 343–348. 16 indexed citations

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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