Магдалена Гарванова
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Ivan GarvanovChristo KabakchievDaniela BorissovaVera BeharBoris ShishkovГеорги ДимитровVladimir JotsovMárta Juhász
- Topics
- GNSS positioning and interference (5 papers)Electromagnetic Fields and Biological Effects (3 papers)Radar Systems and Signal Processing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesIFAC-PapersOnLine
- Partner nations
- BulgariaKazakhstanGermany
In The Last Decade
Магдалена Гарванова
38 papers receiving 146 citations
Peers
Comparison fields: 5 of 68
- Aerospace Engineering 45
- Computer Vision and Pattern Recognition 25
- Electrical and Electronic Engineering 23
- Artificial Intelligence 17
- Computer Networks and Communications 14
Countries citing papers authored by Магдалена Гарванова
This map shows the geographic impact of Магдалена Гарванова'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 Магдалена Гарванова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Магдалена Гарванова more than expected).
Fields of papers citing papers by Магдалена Гарванова
This network shows the impact of papers produced by Магдалена Гарванова. 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 Магдалена Гарванова. The network helps show where Магдалена Гарванова may publish in the future.
Co-authorship network of co-authors of Магдалена Гарванова
This figure shows the co-authorship network connecting the top 25 collaborators of Магдалена Гарванова. A scholar is included among the top collaborators of Магдалена Гарванова 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 Магдалена Гарванова. Магдалена Гарванова 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | VEHICLE CLASSIFICATION BASED ON THEIR GPS SIGNAL SHADOWS | 1 |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 0 |
About Магдалена Гарванова
Магдалена Гарванова is a scholar working on Biophysics, Information Systems and Media Technology, having authored 48 papers that have together received 151 indexed citations. Recurring topics across this work include GNSS positioning and interference (5 papers), Electromagnetic Fields and Biological Effects (3 papers) and Radar Systems and Signal Processing (3 papers). The work is most often cited by research in Biophysics (11 citations), Aerospace Engineering (45 citations) and Computer Vision and Pattern Recognition (25 citations). Магдалена Гарванова has collaborated with scholars based in Bulgaria, Kazakhstan and Germany. Frequent co-authors include Ivan Garvanov, Christo Kabakchiev, Daniela Borissova, Vera Behar, Boris Shishkov, Георги Димитров, Vladimir Jotsov, Márta Juhász, Dorina Kabakchieva and Nurassyl Kerimbayev. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and IFAC-PapersOnLine.
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.