Sudipan Saha

1.8k total citations · 1 hit paper
60 papers, 1.3k citations indexed

About

Sudipan Saha is a scholar working on Media Technology, Artificial Intelligence and Ecology. According to data from OpenAlex, Sudipan Saha has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Media Technology, 23 papers in Artificial Intelligence and 19 papers in Ecology. Recurrent topics in Sudipan Saha's work include Remote-Sensing Image Classification (33 papers), Remote Sensing in Agriculture (18 papers) and Remote Sensing and Land Use (12 papers). Sudipan Saha is often cited by papers focused on Remote-Sensing Image Classification (33 papers), Remote Sensing in Agriculture (18 papers) and Remote Sensing and Land Use (12 papers). Sudipan Saha collaborates with scholars based in Germany, Italy and India. Sudipan Saha's co-authors include Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu, Lichao Mou, Yady Tatiana Solano‐Correa, Jakob Gawlikowski, Muhammad Shahzad, Qian Song, Anna Kruspe and Biplab Banerjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Applied Sciences.

In The Last Decade

Sudipan Saha

51 papers receiving 1.2k citations

Hit Papers

Unsupervised Deep Change Vector Analysis for Multiple-Cha... 2019 2026 2021 2023 2019 100 200 300

Peers

Sudipan Saha
Comparison fields: 5 of 79
  • Media Technology 877
  • Atmospheric Science 574
  • Ecology 388
  • Computer Vision and Pattern Recognition 252
  • Artificial Intelligence 245
Replace Tao Zhan with:
Tao Zhan China
Boyi Shangguan China
Andrea Marinoni Italy
Tongfei Liu China
Daifeng Peng China
Hongruixuan Chen Japan
Li Wei China
Yann Gousseau France
Tao Zhan China View profile →
Citations per field, relative to Sudipan Saha
Sudipan Saha · 1×
Citations per year, relative to Sudipan Saha
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Countries citing papers authored by Sudipan Saha

Since Specialization
Citations

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

Fields of papers citing papers by Sudipan Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudipan Saha. 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 Sudipan Saha. The network helps show where Sudipan Saha may publish in the future.

Co-authorship network of co-authors of Sudipan Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sudipan Saha. A scholar is included among the top collaborators of Sudipan Saha 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 Sudipan Saha. Sudipan Saha 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
# Work Indexed citations
1 4
2 9
3 0
4 1
5 7
6 5
7 5
8 8
9 0
10 1
11 27
12 4
13 0
14 9
15 45
16 139
17 49
18 46
19 12
20
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images breakdown →
386

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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