Begüm Demir
- Media Technology top 0.1%
- Remote-Sensing Image Classification 89
-
- Advanced Image and Video Retrieval Techniques 69
- Image Retrieval and Classification Techniques 50
- Advanced Data Compression Techniques 10
- Atmospheric Science top 5%
- Remote Sensing and Land Use 29
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 14
- Text and Document Classification Technologies 10
- Ecology top 5%
-
- Spectroscopy and Chemometric Analyses 18
Begüm Demir
146 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Media Technology 1.8k
- Computer Vision and Pattern Recognition 1.6k
- Atmospheric Science 630
- Artificial Intelligence 768
- Ecology 477
Countries citing papers authored by Begüm Demir
This map shows the geographic impact of Begüm Demir'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 Begüm Demir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Begüm Demir more than expected).
Fields of papers citing papers by Begüm Demir
This network shows the impact of papers produced by Begüm Demir. 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 Begüm Demir. The network helps show where Begüm Demir may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Begüm Demir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 49 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 26 | |
| 13 | BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets] | 2021 | 4 |
| 14 | 2020 | 15 | |
| 15 | 2020 | 20 | |
| 16 | Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understandingbreakdown → | 2019 | 338 |
| 17 | 2018 | 49 | |
| 18 | 2018 | 22 | |
| 19 | 2017 | 40 | |
| 20 | 2017 | 166 |
About Begüm Demir
Begüm Demir is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 156 papers that have together received 3.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (89 papers), Advanced Image and Video Retrieval Techniques (69 papers), Image Retrieval and Classification Techniques (50 papers), Remote Sensing and Land Use (29 papers), Spectroscopy and Chemometric Analyses (18 papers), Domain Adaptation and Few-Shot Learning (14 papers), Advanced Data Compression Techniques (10 papers) and Text and Document Classification Technologies (10 papers). The work is most often cited by research in Media Technology (1.8k citations), Computer Vision and Pattern Recognition (1.6k citations) and Atmospheric Science (630 citations). Begüm Demir has collaborated with scholars based in Germany, Italy and Türkiye. Frequent co-authors include Lorenzo Bruzzone, Gencer Sumbül, Sarp Ertürk, Francesca Bovolo, Volker Markl, Marcela Charfuelàn, Claudio Persello, Subhasis Chaudhuri, Bindita Chaudhuri and Mahdyar Ravanbakhsh. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing 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.