Prashanth Marpu

4.8k total citations · 2 hit papers
119 papers, 3.8k citations indexed

About

Prashanth Marpu is a scholar working on Media Technology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Prashanth Marpu has authored 119 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Media Technology, 39 papers in Atmospheric Science and 29 papers in Environmental Engineering. Recurrent topics in Prashanth Marpu's work include Remote-Sensing Image Classification (47 papers), Remote Sensing and Land Use (30 papers) and Remote Sensing in Agriculture (18 papers). Prashanth Marpu is often cited by papers focused on Remote-Sensing Image Classification (47 papers), Remote Sensing and Land Use (30 papers) and Remote Sensing in Agriculture (18 papers). Prashanth Marpu collaborates with scholars based in United Arab Emirates, Iceland and Italy. Prashanth Marpu's co-authors include Jón Atli Benediktsson, Mauro Dalla Mura, Rasha Alshehhi, Hosni Ghedira, Taha B. M. J. Ouarda, Antonio Plaza, Jun Li, José M. Bioucas‐Dias, Wei Lee Woon and Michele Lazzarini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Prashanth Marpu

116 papers receiving 3.7k citations

Hit Papers

Generalized Composite Kernel Framework for Hyperspectral ... 2013 2026 2017 2021 2013 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Marpu United Arab Emirates 28 1.9k 1.4k 1.1k 621 589 119 3.8k
Qian Shi China 34 1.9k 1.0× 1.1k 0.8× 788 0.7× 612 1.0× 895 1.5× 131 3.8k
Lei Ma China 27 1.6k 0.9× 997 0.7× 1.3k 1.2× 1.4k 2.3× 598 1.0× 88 4.4k
Shihong Du China 34 2.3k 1.2× 1.6k 1.1× 1.0k 0.9× 1.6k 2.6× 768 1.3× 138 4.7k
Meng Lü Netherlands 23 1.6k 0.8× 840 0.6× 674 0.6× 326 0.5× 710 1.2× 58 2.7k
Gang Yang China 33 1.7k 0.9× 1.0k 0.7× 671 0.6× 734 1.2× 930 1.6× 176 4.1k
Fabio Del Frate Italy 33 1.2k 0.6× 1.1k 0.8× 1.2k 1.1× 799 1.3× 233 0.4× 218 3.5k
Alim Samat China 29 1.2k 0.6× 869 0.6× 504 0.5× 563 0.9× 496 0.8× 131 2.9k
Mattia Marconcini Germany 27 2.5k 1.4× 1.9k 1.4× 915 0.8× 1.6k 2.6× 864 1.5× 106 5.2k
Pingxiang Li China 31 2.3k 1.2× 1.5k 1.1× 1.7k 1.5× 1.2k 1.9× 1.3k 2.3× 168 5.1k
Björn Waske Germany 29 2.3k 1.3× 1.6k 1.1× 1.1k 1.0× 1.1k 1.8× 548 0.9× 76 4.5k

Countries citing papers authored by Prashanth Marpu

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Marpu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Marpu

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Marpu. A scholar is included among the top collaborators of Prashanth Marpu 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 Prashanth Marpu. Prashanth Marpu 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.
Alshehhi, Rasha & Prashanth Marpu. (2023). Change detection using multi-scale convolutional feature maps of bi-temporal satellite high-resolution images. European Journal of Remote Sensing. 56(1). 4 indexed citations
2.
Takruri, Maen, et al.. (2022). Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters. IEEE Access. 10. 23489–23496. 3 indexed citations
3.
Awad, Mohammed, et al.. (2021). A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites. IEEE Access. 9. 107791–107803. 7 indexed citations
4.
Marpu, Prashanth, et al.. (2021). Modeling directional distributions of wind data in the United Arab Emirates at different elevations. Arabian Journal of Geosciences. 14(9). 2 indexed citations
5.
Alshehhi, Rasha & Prashanth Marpu. (2021). Detection of Coronal Mass Ejections Using Unsupervised Deep Clustering. Solar Physics. 296(6). 7 indexed citations
6.
Afshari, Afshin, et al.. (2019). Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements. Sustainability. 11(16). 4378–4378. 62 indexed citations
7.
Manandhar, Prajowal, Prashanth Marpu, Zeyar Aung, & Farid Melgani. (2019). Towards Automatic Extraction and Updating of VGI-Based Road Networks Using Deep Learning. Remote Sensing. 11(9). 1012–1012. 21 indexed citations
8.
Marpu, Prashanth, et al.. (2018). MeznSat: A CubeSat for Greenhouse Gases Monitoring and Algal Blooms Prediction. Digital Commons - USU (Utah State University). 1 indexed citations
9.
Manandhar, Prajowal, Prashanth Marpu, & Zeyar Aung. (2018). Deep Learning Approach To Update Road Network using VGI Data. 1–4. 2 indexed citations
10.
Marpu, Prashanth, et al.. (2016). Corals & benthic habitat mapping using DubaiSat-2: a spectral-spatial approach applied to Dalma Island, UAE (Arabian Gulf). Remote Sensing Letters. 7(8). 781–789. 6 indexed citations
11.
Zhao, Jun, Marouane Temimi, Muchamad Al Azhar, Hosni Ghedira, & Prashanth Marpu. (2015). Multi-sensor based approach for detection of oil pollution in the Arabian Gulf and the Sea of Oman. 4 indexed citations
12.
Lazzarini, Michele, Prashanth Marpu, Annalisa Molini, Taha B. M. J. Ouarda, & Hosni Ghedira. (2014). Urban heat island and land cover-temperature interactions in desert cities. EGU General Assembly Conference Abstracts. 13696. 1 indexed citations
13.
Lazzarini, Michele, et al.. (2014). Toward a Near Real-Time Product of Air Temperature Maps from Satellite Data and In Situ Measurements in Arid Environments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(7). 3093–3104. 16 indexed citations
14.
Marpu, Prashanth, Michele Lazzarini, Annalisa Molini, & Hosni Ghedira. (2013). Temperature trends in desert cities: how vegetation and urbanization affect the urban heat island dynamics in hyper-arid climates. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Pedergnana, Mattia, Prashanth Marpu, Mauro Dalla Mura, Jón Atli Benediktsson, & Lorenzo Bruzzone. (2013). A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms. IEEE Transactions on Geoscience and Remote Sensing. 51(6). 3514–3528. 108 indexed citations
17.
Lazzarini, Michele, Prashanth Marpu, & Hosni Ghedira. (2012). Land cover and Land Surface Temperature interactions in desert areas: A case study of Abu Dhabi (UAE). 6325–6328. 1 indexed citations
18.
Licciardi, Giorgio, Prashanth Marpu, Jocelyn Chanussot, & Jón Atli Benediktsson. (2011). Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles. IEEE Geoscience and Remote Sensing Letters. 9(3). 447–451. 312 indexed citations
19.
Bernabé, Sergio, Antonio Plaza, Prashanth Marpu, & Jón Atli Benediktsson. (2011). A new parallel tool for classification of remotely sensed imagery. Computers & Geosciences. 46. 208–218. 19 indexed citations
20.
Marpu, Prashanth, Giorgio Licciardi, Paolo Gamba, & Fabio Del Frate. (2010). Comparison of advanced neural network architectures for hyperspectral data classification. Cineca Institutional Research Information System (Tor Vergata University). 6. 1–4. 2 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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