Adrienn Dineva
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Civil and Structural Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Amirhosein MosaviBahram ChoubinFarzaneh Sajedi HosseiniElham Rafiei SardooiSaeid JanizadehMohammad GolshanAmir MosaviFereshteh Taromideh
- Topics
- Image and Signal Denoising Methods (4 papers)Blind Source Separation Techniques (3 papers)Machine Fault Diagnosis Techniques (3 papers)
In The Last Decade
Adrienn Dineva
16 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Environmental Engineering 336
- Water Science and Technology 257
- Global and Planetary Change 224
- Civil and Structural Engineering 115
- Artificial Intelligence 101
Countries citing papers authored by Adrienn Dineva
This map shows the geographic impact of Adrienn Dineva'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 Adrienn Dineva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrienn Dineva more than expected).
Fields of papers citing papers by Adrienn Dineva
This network shows the impact of papers produced by Adrienn Dineva. 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 Adrienn Dineva. The network helps show where Adrienn Dineva may publish in the future.
Co-authorship network of co-authors of Adrienn Dineva
This figure shows the co-authorship network connecting the top 25 collaborators of Adrienn Dineva. A scholar is included among the top collaborators of Adrienn Dineva 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 Adrienn Dineva. Adrienn Dineva 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 | 4 | |
| 4 | 35 | |
| 5 | 98 | |
| 6 | 104 | |
| 7 | 130 | |
| 8 | Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Predictionbreakdown → | 206 |
| 9 | 77 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 45 | |
| 15 | 49 | |
| 16 | 45 | |
| 17 | 0 | |
| 18 | 15 | |
| 19 | 2 |
About Adrienn Dineva
Adrienn Dineva is a scholar working on Environmental Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 834 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Blind Source Separation Techniques (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Environmental Engineering (336 citations), Water Science and Technology (257 citations) and Global and Planetary Change (224 citations). Adrienn Dineva has collaborated with scholars based in Hungary, Vietnam and Iran. Frequent co-authors include Amirhosein Mosavi, Bahram Choubin, Farzaneh Sajedi Hosseini, Elham Rafiei Sardooi, Saeid Janizadeh, Mohammad Golshan, Amir Mosavi, Fereshteh Taromideh, Assefa M. Melesse and Narjes Nabipour. Their work appears in journals such as Scientific Reports, Energies and Applied Sciences.
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.