Seyed Majid Azimi

1.1k total citations
24 papers, 549 citations indexed

About

Seyed Majid Azimi is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Seyed Majid Azimi has authored 24 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Ocean Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Seyed Majid Azimi's work include Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Automated Road and Building Extraction (7 papers). Seyed Majid Azimi is often cited by papers focused on Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Automated Road and Building Extraction (7 papers). Seyed Majid Azimi collaborates with scholars based in Germany, Iran and Italy. Seyed Majid Azimi's co-authors include Corentin Henry, Nina Merkle, Dominik Britz, Michael Engstler, Frank Mücklich, Mario Fritz, Franz Kurz, Reza Bahmanyar, Eleonora Vig and Lars Sommer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Seyed Majid Azimi

21 papers receiving 524 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seyed Majid Azimi Germany 11 179 140 136 129 112 24 549
Chun Du China 11 127 0.7× 136 1.0× 114 0.8× 139 1.1× 24 0.2× 28 399
Jun Ni China 17 50 0.3× 95 0.7× 89 0.7× 69 0.5× 215 1.9× 70 768
Xiaoming Mei China 7 263 1.5× 302 2.2× 110 0.8× 316 2.4× 30 0.3× 12 734
Zhong Liu China 13 164 0.9× 23 0.2× 46 0.3× 57 0.4× 38 0.3× 55 541
John Mashford Australia 10 113 0.6× 69 0.5× 61 0.4× 31 0.2× 55 0.5× 28 496
Xiaolu Li China 18 240 1.3× 77 0.6× 520 3.8× 31 0.2× 48 0.4× 98 960
Yong Hu China 14 243 1.4× 511 3.6× 163 1.2× 209 1.6× 53 0.5× 45 1.1k
He Li China 17 296 1.7× 355 2.5× 40 0.3× 46 0.4× 110 1.0× 79 813
Yingchao Feng China 16 495 2.8× 83 0.6× 112 0.8× 405 3.1× 37 0.3× 45 909

Countries citing papers authored by Seyed Majid Azimi

Since Specialization
Citations

This map shows the geographic impact of Seyed Majid Azimi'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 Seyed Majid Azimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seyed Majid Azimi more than expected).

Fields of papers citing papers by Seyed Majid Azimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seyed Majid Azimi. 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 Seyed Majid Azimi. The network helps show where Seyed Majid Azimi may publish in the future.

Co-authorship network of co-authors of Seyed Majid Azimi

This figure shows the co-authorship network connecting the top 25 collaborators of Seyed Majid Azimi. A scholar is included among the top collaborators of Seyed Majid Azimi 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 Seyed Majid Azimi. Seyed Majid Azimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wieland, Marc, Nina Merkle, Corentin Henry, et al.. (2023). AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods. elib (German Aerospace Center). 1166–1169. 1 indexed citations
2.
Kurz, Franz, et al.. (2023). VEHICLE CLASSIFICATION IN URBAN REGIONS OF THE GLOBAL SOUTH FROM AERIAL IMAGERY. SHILAP Revista de lepidopterología. X-1/W1-2023. 371–378.
3.
Azimi, Seyed Majid, et al.. (2021). Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network. Remote Sensing. 13(10). 1953–1953. 13 indexed citations
4.
Henry, Corentin, et al.. (2021). CITYWIDE ESTIMATION OF PARKING SPACE USING AERIAL IMAGERY AND OSM DATA FUSION WITH DEEP LEARNING AND FINE-GRAINED ANNOTATION. SHILAP Revista de lepidopterología. XLIII-B2-2021. 479–485. 10 indexed citations
5.
Azimi, Seyed Majid, Corentin Henry, Veronika Gstaiger, et al.. (2021). AUTOMATED BUILDING SEGMENTATION AND DAMAGE ASSESSMENT FROM SATELLITE IMAGES FOR DISASTER RELIEF. SHILAP Revista de lepidopterología. XLIII-B3-2021. 741–748. 10 indexed citations
6.
Azimi, Seyed Majid, Reza Bahmanyar, Corentin Henry, & Franz Kurz. (2021). EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery. elib (German Aerospace Center). 6920–6927. 32 indexed citations
7.
Merkle, Nina, et al.. (2020). REAL-TIME AERIAL IMAGERY FOR CRISIS MANAGEMENT: LESSONS LEARNED FROM AN EUROPEAN CIVIL PROTECTION EXERCISE. SHILAP Revista de lepidopterología. XLIII-B3-2020. 1243–1249. 2 indexed citations
8.
Chen, Hongyu, Manhui Lin, Hongyan Zhang, et al.. (2020). Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest—Part A. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 922–935. 25 indexed citations
9.
Bahmanyar, Reza, Seyed Majid Azimi, & Peter Reinartz. (2019). MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS. SHILAP Revista de lepidopterología. XLII-4/W18. 163–170. 1 indexed citations
10.
Kurz, Franz, et al.. (2019). Deep Learning Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery. ISPRS International Journal of Geo-Information. 8(1). 47–47. 12 indexed citations
11.
d’Angelo, Pablo, Ksenia Bittner, Thomas Krauß, et al.. (2019). 3D Semantic Segmentation from Multi-View Optical Satellite Images. elib (German Aerospace Center). 5053–5056. 9 indexed citations
12.
Bahmanyar, Reza, et al.. (2019). SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS. SHILAP Revista de lepidopterología. XLII-4/W18. 687–692.
13.
Merkle, Nina, et al.. (2019). Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks. elib (German Aerospace Center). 34. 5045–5048. 3 indexed citations
14.
Azimi, Seyed Majid, Corentin Henry, Lars Sommer, Arne Schumann, & Eleonora Vig. (2019). SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes. elib (German Aerospace Center). 7392–7402. 47 indexed citations
15.
Azimi, Seyed Majid, Dominik Britz, Michael Engstler, Mario Fritz, & Frank Mücklich. (2018). Advanced Steel Microstructure Classification by Deep Learning Methods. Max Planck Digital Library. 169 indexed citations
16.
Azimi, Seyed Majid, et al.. (2018). Emergence of Convolutional Neural Network in Future Medicine: Why and How. A Review on Brain Tumor Segmentation. Polish Journal of Medical Physics And Engineering. 24(1). 43–53. 4 indexed citations
17.
Azimi, Seyed Majid, et al.. (2018). Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm. Biomedizinische Technik/Biomedical Engineering. 64(2). 195–205. 26 indexed citations
18.
Henry, Corentin, Seyed Majid Azimi, & Nina Merkle. (2018). Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters. 15(12). 1867–1871. 151 indexed citations
19.
Fischer, Peter, et al.. (2018). Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery. ISPRS International Journal of Geo-Information. 7(12). 458–458. 12 indexed citations
20.
Cerra, Daniele, Miguel Pato, E. Carmona, et al.. (2018). Combining Deep and Shallow Neural Networks with Ad Hoc Detectors for the Classification of Complex Multi-Modal Urban Scenes. elib (German Aerospace Center). 3856–3859. 12 indexed citations

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.

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