Vasile-Daniel Păvăloaia
- Artificial Intelligence
- Sociology and Political Science
- Information Systems top 10%
- Management Information Systems top 10%
- Marketing
- Topics
- Digital Marketing and Social Media (3 papers)Big Data and Business Intelligence (2 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in PsychologySustainability
- Partner nations
- RomaniaUnited StatesRussia
In The Last Decade
Vasile-Daniel Păvăloaia
17 papers receiving 230 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 76
- Sociology and Political Science 54
- Information Systems 50
- Management Information Systems 41
- Marketing 27
Countries citing papers authored by Vasile-Daniel Păvăloaia
This map shows the geographic impact of Vasile-Daniel Păvăloaia'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 Vasile-Daniel Păvăloaia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasile-Daniel Păvăloaia more than expected).
Fields of papers citing papers by Vasile-Daniel Păvăloaia
This network shows the impact of papers produced by Vasile-Daniel Păvăloaia. 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 Vasile-Daniel Păvăloaia. The network helps show where Vasile-Daniel Păvăloaia may publish in the future.
Co-authorship network of co-authors of Vasile-Daniel Păvăloaia
This figure shows the co-authorship network connecting the top 25 collaborators of Vasile-Daniel Păvăloaia. A scholar is included among the top collaborators of Vasile-Daniel Păvăloaia 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 Vasile-Daniel Păvăloaia. Vasile-Daniel Păvăloaia 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 | 0 | |
| 3 | Artificial Intelligence as a Disruptive Technology—A Systematic Literature Reviewbreakdown → | 92 |
| 4 | 34 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | Modern Business Information Systems | 1 |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | Comparative analysis using bankruptcy prediction models: an online computer-based system | 3 |
| 19 | Integration Possibilities in Exsys Corvid | 1 |
About Vasile-Daniel Păvăloaia
Vasile-Daniel Păvăloaia is a scholar working on Management Information Systems, Discrete Mathematics and Combinatorics and Information Systems, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Big Data and Business Intelligence (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Health Informatics (18 citations), Management Information Systems (41 citations) and Business and International Management (8 citations). Vasile-Daniel Păvăloaia has collaborated with scholars based in Romania, United States and Russia. Frequent co-authors include Sabina-Cristiana Necula, Mircea Georgescu, Octavian Dospinescu and Rodrigo Martín‐Rojas. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Sustainability.
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.