Srinivasu Pappula

439 total citations
50 papers, 294 citations indexed

About

Srinivasu Pappula is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Srinivasu Pappula has authored 50 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 23 papers in Ecology and 13 papers in Environmental Engineering. Recurrent topics in Srinivasu Pappula's work include Remote Sensing in Agriculture (22 papers), Smart Agriculture and AI (22 papers) and Spectroscopy and Chemometric Analyses (11 papers). Srinivasu Pappula is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Smart Agriculture and AI (22 papers) and Spectroscopy and Chemometric Analyses (11 papers). Srinivasu Pappula collaborates with scholars based in India, Canada and Russia. Srinivasu Pappula's co-authors include Sanat Sarangi, Ankur Pandit, Sanjay D. Sawant, Sandip Hingmire, Navin K. C. Twarakavi, Rishabh Agrawal, Swati Mittal, Abhishek Kumar, Ajay Mittal and Rahul Agrawal and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Geocarto International.

In The Last Decade

Srinivasu Pappula

44 papers receiving 281 citations

Peers

Srinivasu Pappula
Nik Norasma Che’Ya Malaysia
Hongbao Ye China
Shenglian Lu China
Hema Duddu Canada
Cristiano Zerbato Brazil
Tianle Yang China
Saeed Khaki United States
Ruohao Guo China
Alwaseela Abdalla China
Hongbo Yuan China
Nik Norasma Che’Ya Malaysia
Srinivasu Pappula
Citations per year, relative to Srinivasu Pappula Srinivasu Pappula (= 1×) peers Nik Norasma Che’Ya

Countries citing papers authored by Srinivasu Pappula

Since Specialization
Citations

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

Fields of papers citing papers by Srinivasu Pappula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasu Pappula

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivasu Pappula. A scholar is included among the top collaborators of Srinivasu Pappula 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 Srinivasu Pappula. Srinivasu Pappula 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
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Pandit, Ankur, et al.. (2023). SOYBEAN CROP YIELD PREDICTION BY INTEGRATION OF REMOTE SENSING AND WEATHER OBSERVATIONS. SHILAP Revista de lepidopterología. XLVIII-M-1-2023. 197–202. 5 indexed citations
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Pandit, Ankur, et al.. (2023). CAN RADAR BACKSCATTER RATIO BE USED TO ESTIMATE NDVI AND ACT AS ITS SUBSTITUTE? – A STUDY OVER WINTER WHEAT CROP IN INDIA. SHILAP Revista de lepidopterología. X-1/W1-2023. 857–862. 1 indexed citations
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Mittal, Swati, et al.. (2023). Monitoring Sustainability Practices in Dry-Land Crops with Farm Digital Twins. 1–6. 1 indexed citations
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Pandit, Ankur, et al.. (2022). Spatial Downscaling of Vegetation Optical Depth Using the Modis and Srtm Observations. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5870–5873. 1 indexed citations
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Pandit, Ankur, et al.. (2022). DEVELOPMENT OF AUTOMATED SATELLITE DATA DOWNLOADING AND PROCESSING PIPELINE ON AWS CLOUD FOR NEAR-REAL-TIME AGRICULTURE APPLICATIONS. SHILAP Revista de lepidopterología. V-4-2022. 189–196. 2 indexed citations
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Sarangi, Sanat, et al.. (2022). UAV-assisted Multi-modal Detection and Severity Assessment for Red Spider Mites in Tea. 63. 373–376. 1 indexed citations
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Sarangi, Sanat, et al.. (2019). Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting. 894–899. 31 indexed citations
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Pappula, Srinivasu, et al.. (2019). WHEAT AREA MAPPING AND PHENOLOGY DETECTION USING SYNTHETIC APERTURE RADAR AND MULTI MULTI-SPECTRAL REMOTE SENSING OBSERVATIONS. SHILAP Revista de lepidopterología. XLII-3/W6. 123–127. 3 indexed citations
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Pappula, Srinivasu, et al.. (2019). Near Real Time Crop Loss Estimation using Remote Sensing Observations. 1–5. 10 indexed citations
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Sarangi, Sanat, et al.. (2019). Unsupervised Image Segmentation using Convolutional Neural Networks for Automated Crop Monitoring. 887–893. 4 indexed citations
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Pappula, Srinivasu, et al.. (2018). OPERATIONAL NEAR REAL TIME RICE AREA MAPPING USING MULTI-TEMPORAL SENTINEL-1 SAR OBSERVATIONS. SHILAP Revista de lepidopterología. XLII-4. 433–438. 17 indexed citations
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Sarangi, Sanat, et al.. (2018). Development of an Energy-efficient Adaptive IoT Gateway Model for Precision Agriculture. 37. 1–6. 7 indexed citations
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Sarangi, Sanat & Srinivasu Pappula. (2016). Adaptive Data-Centric Clustering with Sensor Networks for Energy Efficient IoT Applications. 398–405. 3 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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