Sourav Bhadra

893 total citations · 2 hit papers
16 papers, 584 citations indexed

About

Sourav Bhadra is a scholar working on Ecology, Plant Science and Analytical Chemistry. According to data from OpenAlex, Sourav Bhadra has authored 16 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 9 papers in Plant Science and 4 papers in Analytical Chemistry. Recurrent topics in Sourav Bhadra's work include Remote Sensing in Agriculture (13 papers), Smart Agriculture and AI (7 papers) and Leaf Properties and Growth Measurement (4 papers). Sourav Bhadra is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Smart Agriculture and AI (7 papers) and Leaf Properties and Growth Measurement (4 papers). Sourav Bhadra collaborates with scholars based in United States, United Kingdom and Bangladesh. Sourav Bhadra's co-authors include Vasit Sagan, Maitiniyazi Maimaitijiang, Matthew Maimaitiyiming, Canh Nguyen, Misha T. Kwasniewski, Nadia Shakoor, Felix Fritschi, Todd C. Mockler, Paheding Sidike and Maria Newcomb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sourav Bhadra

16 papers receiving 568 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

2021 180 citations Canh Nguyen, Vasit Sagan et al. Sensors profile →
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

2024 46 citations Sourav Bhadra, Nurzaman Ahmed et al. SHILAP Revista de lepidopterología profile →

Peers

Countries citing papers authored by Sourav Bhadra

Since Specialization

Citations

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

Fields of papers citing papers by Sourav Bhadra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Bhadra

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

All Works

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16 of 16 papers shown

#	Title	Journal	Authors	Indexed citations
1	PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images	ISPRS Journal of Photogrammetry and Remote Sensing	Sourav Bhadra, Vasit Sagan et al.	36
2	Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition	Scientific Reports	Vasit Sagan, Sourav Bhadra et al.	1
3	Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review breakdown →	SHILAP Revista de lepidopterología	Sourav Bhadra, Nurzaman Ahmed et al.	46
4	Hyperfidelis: A Software Toolkit to Empower Precision Agriculture with GeoAI	Remote Sensing	Vasit Sagan, Sourav Bhadra et al.	1
5	End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images	Precision Agriculture	Sourav Bhadra, Vasit Sagan et al.	24
6	UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping	Sensors	Canh Nguyen, Vasit Sagan et al.	35
7	Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning	ISPRS Journal of Photogrammetry and Remote Sensing	Vasit Sagan, Sourav Bhadra et al.	13
8	AUTOMATIC EXTRACTION OF SOLAR AND SENSOR IMAGING GEOMETRY FROM UAV-BORNE PUSH-BROOM HYPERSPECTRAL CAMERA	SHILAP Revista de lepidopterología	Sourav Bhadra, Vasit Sagan et al.	3
9	An integrated machine learning and remote sensing approach for monitoring forest degradation due to Rohingya refugee influx in Bangladesh	Remote Sensing Applications Society and Environment	Sourav Bhadra et al.	5
10	Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data	IEEE Transactions on Geoscience and Remote Sensing	Vasit Sagan, Maitiniyazi Maimaitijiang et al.	31
11	Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning breakdown →	Sensors	Canh Nguyen, Vasit Sagan et al.	180
12	Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models	Transactions in GIS	Sourav Bhadra, Ruopu Li et al.	7
13	Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning	ISPRS Journal of Photogrammetry and Remote Sensing	Vasit Sagan, Maitiniyazi Maimaitijiang et al.	125
14	A FULLY AUTOMATED AND FAST APPROACH FOR CANOPY COVER ESTIMATION USING SUPER HIGH-RESOLUTION REMOTE SENSING IMAGERY	SHILAP Revista de lepidopterología	Maitiniyazi Maimaitijiang, Vasit Sagan et al.	7
15	Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning	Remote Sensing	Sourav Bhadra, Vasit Sagan et al.	67
16	An objective assessment of walkability in Khulna City: A GIS based approach		Sourav Bhadra et al.	3

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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