Mohammad Awrangjeb

2.6k citations
104 papers · 2.1k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Mohammad Awrangjeb

93 papers receiving 2.0k citations

Hit Papers

Transfer learning in agriculture: a review 2025 · 16 citations
162025202651015

Peers

Mohammad Awrangjeb
Comparison fields: 5 of 83
  • Geology 928
  • Environmental Engineering 1.3k
  • Ocean Engineering 643
  • Media Technology 337
  • Computer Vision and Pattern Recognition 600
Replace Claus Brenner with:
Claus Brenner Germany
Wei Yao China
Florent Lafarge France
Wanshou Jiang China
Nicolas Paparoditis France
Xiangguo Lin China
Ruofei Zhong China
Lingfei Ma China
Jaewook Jung Canada
Norbert Haala Germany
Mohammad Awrangjeb relative to Claus Brenner Germany Claus Brenner's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Mohammad Awrangjeb

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Awrangjeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mohammad Awrangjeb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Awrangjeb Line = papers co-authored together Mohammad Awrangjeb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Transfer learning in agriculture: a review
Hit paper breakdown →
202516
3 20244
4 20249
5 20241
6 20240
7 20240
8 20230
9 202311
10 20231
11 202216
12 20220
13 20214
14 20215
15 202123
16 202024
17 20198
18 201616
19 201264
20 20123

About Mohammad Awrangjeb

Mohammad Awrangjeb is a scholar working on Geology, Environmental Engineering, Ocean Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (66 papers), 3D Surveying and Cultural Heritage (49 papers), Automated Road and Building Extraction (34 papers), Remote Sensing in Agriculture (20 papers), Remote-Sensing Image Classification (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and Land Use (10 papers). The work is most often cited by research in Geology (928 citations), Environmental Engineering (1.3k citations), Ocean Engineering (643 citations), Media Technology (337 citations) and Computer Vision and Pattern Recognition (600 citations). Mohammad Awrangjeb has collaborated with scholars based in Australia, China and Bangladesh. Frequent co-authors include Clive S. Fraser, Guojun Lu, Mehdi Ravanbakhsh, Chunsun Zhang, Syed Gilani, Bela Stantić, Fayez Tarsha Kurdi, Cameron Fraser, Emon Kumar Dey and Manzur Murshed. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, IEEE Transactions on Image Processing and ISPRS Journal of Photogrammetry and Remote Sensing.

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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