P. Manjusree

410 total citations
11 papers, 278 citations indexed

About

P. Manjusree is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, P. Manjusree has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 4 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in P. Manjusree's work include Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (4 papers) and Precipitation Measurement and Analysis (3 papers). P. Manjusree is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (4 papers) and Precipitation Measurement and Analysis (3 papers). P. Manjusree collaborates with scholars based in India and United States. P. Manjusree's co-authors include V. Bhanumurthy, C. M. Bhatt, Goru Srinivasa Rao, G. Srinivasa Rao, Majid Farooq, P. G. Diwakar, V. K. Dadhwal, Swati Sharma, P. V. Nagamani and Cathleen E. Jones and has published in prestigious journals such as Geomatics Natural Hazards and Risk, SN Applied Sciences and International Journal of Disaster Risk Science.

In The Last Decade

P. Manjusree

10 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Manjusree India	6	239	106	92	72	25	11	278
Goru Srinivasa Rao India	5	263 1.1×	120 1.1×	92 1.0×	70 1.0×	19 0.8×	8	292
Filsa Bioresita Indonesia	6	210 0.9×	92 0.9×	83 0.9×	85 1.2×	18 0.7×	36	300
Praveen Kumar Gupta India	13	240 1.0×	181 1.7×	98 1.1×	80 1.1×	9 0.4×	34	321
K. Fellah France	5	245 1.0×	101 1.0×	113 1.2×	82 1.1×	74 3.0×	10	312
Yuanyuan Jia China	7	161 0.7×	75 0.7×	85 0.9×	95 1.3×	25 1.0×	14	244
Arpit Chouksey India	12	159 0.7×	88 0.8×	127 1.4×	91 1.3×	20 0.8×	30	309
Raquel Angela Speck Brazil	4	195 0.8×	72 0.7×	105 1.1×	65 0.9×	69 2.8×	14	263
Dominik Rains Belgium	6	114 0.5×	86 0.8×	83 0.9×	106 1.5×	23 0.9×	10	220
Arjen Haag Netherlands	9	232 1.0×	124 1.2×	112 1.2×	62 0.9×	6 0.2×	11	303
Nishan Kumar Biswas United States	10	183 0.8×	131 1.2×	78 0.8×	60 0.8×	6 0.2×	23	267

Countries citing papers authored by P. Manjusree

Since Specialization

Citations

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

Fields of papers citing papers by P. Manjusree

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Manjusree

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

All Works

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11 of 11 papers shown

Manjusree, P., et al.. (2025). Graph residual U-Net: Automated deep learning-based road extraction using DeepGlobe dataset, cartosat-2 and sentinel-2 imagery. International Journal of Innovative Research and Scientific Studies. 8(2). 2047–2064.

Manjusree, P., et al.. (2021). The NISAR Mission for Enhanced Disaster Monitoring. 7. 332–335. 1 indexed citations

Manjusree, P.. (2021). Potential of NISAR Mission for Improved Flood Disaster Studies. 10. 336–339. 1 indexed citations

Jones, Cathleen E., et al.. (2021). The NISAR Mission's Capabilities for Natural Hazards Monitoring. 1711–1714. 2 indexed citations

Manjusree, P., et al.. (2020). Development of algorithms for evaluating performance of flood simulation models with satellite-derived flood. H2Open Journal. 3(1). 222–235. 3 indexed citations

Manjusree, P., et al.. (2020). Development of an Automated Tool for Delineation of Flood Footprints from SAR Imagery for Rapid Disaster Response: A Case Study. Journal of the Indian Society of Remote Sensing. 48(6). 935–944. 13 indexed citations

Manjusree, P., et al.. (2019). Novel technique for developing flood hazard map by using AHP: a study on part of Mahanadi River in Odisha. SN Applied Sciences. 1(10). 9 indexed citations

Bhatt, C. M., G. Srinivasa Rao, Majid Farooq, et al.. (2016). Satellite-based assessment of the catastrophic Jhelum floods of September 2014, Jammu & Kashmir, India. Geomatics Natural Hazards and Risk. 8(2). 309–327. 73 indexed citations

Manjusree, P., et al.. (2015). A decadal historical satellite data analysis for flood hazard evaluation: A case study of Bihar (North India). Singapore Journal of Tropical Geography. 36(3). 308–323. 13 indexed citations

10.

Manjusree, P., et al.. (2012). Optimization of threshold ranges for rapid flood inundation mapping by evaluating backscatter profiles of high incidence angle SAR images. International Journal of Disaster Risk Science. 3(2). 113–122. 151 indexed citations

11.

Bhatt, C. M., G. Srinivasa Rao, P. Manjusree, & V. Bhanumurthy. (2011). Potential of high resolution satellite data for disaster management: a case study of Leh, Jammu & Kashmir (India) flash floods, 2010. Geomatics Natural Hazards and Risk. 2(4). 365–375. 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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