Lidia Bãjenaru
- Computer Vision and Pattern Recognition top 10%
- Demography top 5%
- Computer Networks and Communications top 10%
- General Health Professions
- Biomedical Engineering
- Co-authors
- Ciprian DobreRadu‐Ioan CiobanuAlexandru BalogGabriel Ioan PradaMarilena IanculescuConstandinos X. MavromoustakisCostas S. ConstantinouHoracio González–Vélez
- Topics
- Technology Use by Older Adults (13 papers)Context-Aware Activity Recognition Systems (12 papers)IoT and Edge/Fog Computing (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Lidia Bãjenaru
43 papers receiving 367 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 130
- Demography 72
- Computer Networks and Communications 70
- General Health Professions 53
- Biomedical Engineering 48
Countries citing papers authored by Lidia Bãjenaru
This map shows the geographic impact of Lidia Bãjenaru'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 Lidia Bãjenaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Bãjenaru more than expected).
Fields of papers citing papers by Lidia Bãjenaru
This network shows the impact of papers produced by Lidia Bãjenaru. 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 Lidia Bãjenaru. The network helps show where Lidia Bãjenaru may publish in the future.
Co-authorship network of co-authors of Lidia Bãjenaru
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Bãjenaru. A scholar is included among the top collaborators of Lidia Bãjenaru 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 Lidia Bãjenaru. Lidia Bãjenaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 44 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 6 | |
| 19 | 9 | |
| 20 | Multicriteria Decision Making software products a comparison and ranking in terms of. | 1 |
About Lidia Bãjenaru
Lidia Bãjenaru is a scholar working on Demography, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 378 indexed citations. Recurring topics across this work include Technology Use by Older Adults (13 papers), Context-Aware Activity Recognition Systems (12 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Demography (72 citations) and Human-Computer Interaction (17 citations). Lidia Bãjenaru has collaborated with scholars based in Romania, Cyprus and Italy. Frequent co-authors include Ciprian Dobre, Radu‐Ioan Ciobanu, Alexandru Balog, Gabriel Ioan Prada, Marilena Ianculescu, Constandinos X. Mavromoustakis, Costas S. Constantinou, Horacio González–Vélez, Jordi Mongay Batalla and Susanna Spinsante. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.