Marian-Daniel Iordache
- Media Technology top 0.1%
- Atmospheric Science top 2%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Ecology top 5%
- Co-authors
- Antonio PlazaJosé M. Bioucas‐DiasAlp ErtürkBen SomersVasco MantasN. LewyckyjKlaas PaulyKoen Meuleman
- Topics
- Remote-Sensing Image Classification (27 papers)Sparse and Compressive Sensing Techniques (14 papers)Advanced Image Fusion Techniques (13 papers)
In The Last Decade
Marian-Daniel Iordache
37 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Media Technology 2.1k
- Atmospheric Science 1.2k
- Computational Mechanics 544
- Computer Vision and Pattern Recognition 464
- Ecology 416
Countries citing papers authored by Marian-Daniel Iordache
This map shows the geographic impact of Marian-Daniel Iordache'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 Marian-Daniel Iordache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian-Daniel Iordache more than expected).
Fields of papers citing papers by Marian-Daniel Iordache
This network shows the impact of papers produced by Marian-Daniel Iordache. 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 Marian-Daniel Iordache. The network helps show where Marian-Daniel Iordache may publish in the future.
Co-authorship network of co-authors of Marian-Daniel Iordache
This figure shows the co-authorship network connecting the top 25 collaborators of Marian-Daniel Iordache. A scholar is included among the top collaborators of Marian-Daniel Iordache 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 Marian-Daniel Iordache. Marian-Daniel Iordache 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 | 18 | |
| 3 | 42 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 32 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 3 | |
| 12 | A multi-measurement vector approach for endmember extraction in urban environments | 4 |
| 13 | 2 | |
| 14 | 20 | |
| 15 | Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint | 17 |
| 16 | Collaborative Sparse Regression for Hyperspectral Unmixingbreakdown → | 377 |
| 17 | 120 | |
| 18 | 12 | |
| 19 | Sparse Unmixing of Hyperspectral Databreakdown → | 811 |
| 20 | 24 |
About Marian-Daniel Iordache
Marian-Daniel Iordache is a scholar working on Media Technology, Computational Mechanics and Atmospheric Science, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (27 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Image Fusion Techniques (13 papers). The work is most often cited by research in Media Technology (2.1k citations), Atmospheric Science (1.2k citations) and Computational Mathematics (17 citations). Marian-Daniel Iordache has collaborated with scholars based in Belgium, Portugal and Spain. Frequent co-authors include Antonio Plaza, José M. Bioucas‐Dias, Alp Ertürk, Ben Somers, Vasco Mantas, N. Lewyckyj, Klaas Pauly, Koen Meuleman, Kristin Vreys and Frederik Tack. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing 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.