Cristian Uţă

788 total citations
11 papers, 517 citations indexed

About

Cristian Uţă is a scholar working on Management Information Systems, Strategy and Management and Information Systems. According to data from OpenAlex, Cristian Uţă has authored 11 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Information Systems, 2 papers in Strategy and Management and 2 papers in Information Systems. Recurrent topics in Cristian Uţă's work include Digital Transformation in Industry (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Big Data and Business Intelligence (1 paper). Cristian Uţă is often cited by papers focused on Digital Transformation in Industry (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Big Data and Business Intelligence (1 paper). Cristian Uţă collaborates with scholars based in Romania, Slovakia and Australia. Cristian Uţă's co-authors include Mihai Andronie, George Lăzăroiu, Iulian Hurloiu, Irina Dijmărescu, Roxana Ștefănescu, Mariana Iatagan, Luminiţa Ionescu, Daniel Adrian Gârdan, Mária Kováčová and Lucia Michalkova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Frontiers in Public Health.

In The Last Decade

Cristian Uţă

11 papers receiving 489 citations

Peers

Cristian Uţă

MARKE

IME

MSOR

Iulian Hurloiu Romania

Ioannis Passas Greece

Mohammad Hossein Ronaghi Iran

Konstantina Ragazou Greece

Mohammad Nurul Hassan Reza Malaysia

Jiaqin Yang United States

Zacharoula Andreopoulou Greece

Alexandros Garefalakis Greece

Kamran Mahroof United Kingdom

Marcelo Werneck Barbosa Brazil

Iulian Hurloiu Romania

Cristian Uţă

116 ×1.0

112 ×1.0

MARKE

46 ×0.6

IME

64 ×0.9

MSOR

74 ×1.1

Citations per year, relative to Cristian Uţă Cristian Uţă (= 1×) peers Iulian Hurloiu

Countries citing papers authored by Cristian Uţă

Since Specialization

Citations

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

Fields of papers citing papers by Cristian Uţă

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristian Uţă

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

All Works

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11 of 11 papers shown

Lăzăroiu, George, Tom Gedeon, Elżbieta Rogalska, et al.. (2024). The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals. Oeconomia Copernicana. 15(1). 27–58. 17 indexed citations

Andronie, Mihai, Roman Blažek, Cristian Uţă, et al.. (2024). Generative artificial intelligence algorithms in Internet of Things blockchain-based fintech management. Oeconomia Copernicana. 15(4). 1349–1381. 6 indexed citations

Andronie, Mihai, et al.. (2023). Big data management algorithms in artificial Internet of Things-based fintech. Oeconomia Copernicana. 14(3). 769–793. 45 indexed citations

Ștefănescu, Roxana, Mariana Iatagan, & Cristian Uţă. (2021). The Management of Teaching in Online and Blended Learning Applied in the Project “Modern Competences of Academic Teachers – the Key to Modern Higher Education Institutions” – Acronym MOCAT. 29(4). 390–401. 1 indexed citations

Andronie, Mihai, George Lăzăroiu, Roxana Ștefănescu, Cristian Uţă, & Irina Dijmărescu. (2021). Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review. Sustainability. 13(10). 5495–5495. 65 indexed citations

Andronie, Mihai, et al.. (2021). Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems. Electronics. 10(20). 2497–2497. 114 indexed citations

Lăzăroiu, George, Luminiţa Ionescu, Cristian Uţă, et al.. (2020). Environmentally Responsible Behavior and Sustainability Policy Adoption in Green Public Procurement. Sustainability. 12(5). 2110–2110. 123 indexed citations

Lăzăroiu, George, Mihai Andronie, Cristian Uţă, & Iulian Hurloiu. (2019). Trust Management in Organic Agriculture: Sustainable Consumption Behavior, Environmentally Conscious Purchase Intention, and Healthy Food Choices. Frontiers in Public Health. 7. 340–340. 125 indexed citations

Andronie, Mihai, et al.. (2019). Integrating the Principles of Green Marketing by Using Big Data. Good Practices. Amfiteatru Economic. 21(50). 258–258. 18 indexed citations

10.

Uţă, Cristian. (2018). Quality of employment in small firms. SHILAP Revista de lepidopterología. 7(2). 56–56. 1 indexed citations

11.

Uţă, Cristian. (2009). Restructuring Of The Institutional Training Of Adults. RePEc: Research Papers in Economics. 1(1). 125–130. 2 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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