Ciprian Dobre
- Computer Networks and Communications top 0.5%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Co-authors
- Radu‐Ioan CiobanuFatos XhafaFlorin PopValentin CristeaNik BessisLidia BãjenaruConstandinos X. MavromoustakisGeorge Mastorakis
- Topics
- Opportunistic and Delay-Tolerant Networks (64 papers)Distributed and Parallel Computing Systems (51 papers)IoT and Edge/Fog Computing (41 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Ciprian Dobre
234 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 149
- Computer Networks and Communications 1.6k
- Information Systems 763
- Electrical and Electronic Engineering 417
- Computer Vision and Pattern Recognition 402
- Artificial Intelligence 334
Countries citing papers authored by Ciprian Dobre
This map shows the geographic impact of Ciprian Dobre'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 Ciprian Dobre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciprian Dobre more than expected).
Fields of papers citing papers by Ciprian Dobre
This network shows the impact of papers produced by Ciprian Dobre. 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 Ciprian Dobre. The network helps show where Ciprian Dobre may publish in the future.
Co-authorship network of co-authors of Ciprian Dobre
This figure shows the co-authorship network connecting the top 25 collaborators of Ciprian Dobre. A scholar is included among the top collaborators of Ciprian Dobre 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 Ciprian Dobre. Ciprian Dobre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | Ambient assisted living and enhanced living environments | 18 |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | Collaborative selfish node detection with an incentive mechanism for opportunistic networks | 14 |
| 12 | 1 | |
| 13 | 36 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 0 | |
| 19 | MonALISA: An agent based, dynamic service system to monitor, control and optimize grid base applications | 1 |
| 20 | 2 |
About Ciprian Dobre
Ciprian Dobre is a scholar working on Computer Networks and Communications, Transportation and Information Systems, having authored 254 papers that have together received 2.7k indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (64 papers), Distributed and Parallel Computing Systems (51 papers) and IoT and Edge/Fog Computing (41 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Information Systems (763 citations) and Transportation (225 citations). Ciprian Dobre has collaborated with scholars based in Romania, Cyprus and Spain. Frequent co-authors include Radu‐Ioan Ciobanu, Fatos Xhafa, Florin Pop, Valentin Cristea, Nik Bessis, Lidia Bãjenaru, Constandinos X. Mavromoustakis, George Mastorakis, Horacio González–Vélez and Sergey Andreev. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.