Adriana Albu
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Health Information Management top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Teodor-Adrian TebanRadu‐Emil PrecupEmil M. PetriuAlexandra-Bianca BorleaIuliu Alexandru ZamfiracheConstantin VoloşencuDaniel-Ioan CuriacGabriel Vasile
- Topics
- Artificial Intelligence in Healthcare (8 papers)Muscle activation and electromyography studies (7 papers)Physical Education and Training Studies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaHuman GeneticsIEEE Transactions on Instrumentation and Measurement
In The Last Decade
Adriana Albu
41 papers receiving 423 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 155
- Control and Systems Engineering 95
- Biomedical Engineering 75
- Health Information Management 50
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Adriana Albu
This map shows the geographic impact of Adriana Albu'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 Adriana Albu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Albu more than expected).
Fields of papers citing papers by Adriana Albu
This network shows the impact of papers produced by Adriana Albu. 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 Adriana Albu. The network helps show where Adriana Albu may publish in the future.
Co-authorship network of co-authors of Adriana Albu
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Albu. A scholar is included among the top collaborators of Adriana Albu 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 Adriana Albu. Adriana Albu 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 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 132 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 15 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | TOOL MANAGEMENT DECISION-MAKING SYSTEM FOR CNC WORKSHOPS | 2 |
| 18 | 5 | |
| 19 | [Alcohol intake in young adults]. | 2 |
| 20 | [Assessment of food intake in rural area school children]. | 3 |
About Adriana Albu
Adriana Albu is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Health Information Management and Medical Laboratory Technology, having authored 47 papers that have together received 454 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), Muscle activation and electromyography studies (7 papers) and Physical Education and Training Studies (7 papers). The work is most often cited by research in Health Information Management (50 citations), Artificial Intelligence (155 citations) and Control and Systems Engineering (95 citations). Adriana Albu has collaborated with scholars based in Romania, Canada and Mexico. Frequent co-authors include Teodor-Adrian Teban, Radu‐Emil Precup, Emil M. Petriu, Alexandra-Bianca Borlea, Iuliu Alexandru Zamfirache, Constantin Voloşencu, Daniel-Ioan Curiac, Gabriel Vasile, Claudiu Pozna and Raul‐Cristian Roman. Their work appears in journals such as SHILAP Revista de lepidopterología, Human Genetics and IEEE Transactions on Instrumentation and Measurement.
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.