P. L. N. Raju

635 total citations
39 papers, 470 citations indexed

About

P. L. N. Raju is a scholar working on Ecology, Media Technology and Plant Science. According to data from OpenAlex, P. L. N. Raju has authored 39 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 10 papers in Media Technology and 9 papers in Plant Science. Recurrent topics in P. L. N. Raju's work include Remote Sensing in Agriculture (15 papers), Remote-Sensing Image Classification (8 papers) and Remote Sensing and LiDAR Applications (5 papers). P. L. N. Raju is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Remote-Sensing Image Classification (8 papers) and Remote Sensing and LiDAR Applications (5 papers). P. L. N. Raju collaborates with scholars based in India, Netherlands and United Kingdom. P. L. N. Raju's co-authors include Sandip Mukherjee, C. Jeganathan, V. K. Dadhwal, Nicholas Hamm, Peter M. Atkinson, Jonali Goswami, Rahul Garg, Ashutosh Bhardwaj, Himanshu Chaudhary and Ashutosh Kumar Jha and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

P. L. N. Raju

38 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. L. N. Raju India 11 231 156 143 129 70 39 470
Rémi Cresson France 10 288 1.2× 124 0.8× 228 1.6× 143 1.1× 138 2.0× 18 643
Damir Medak Croatia 13 150 0.6× 174 1.1× 237 1.7× 101 0.8× 102 1.5× 68 534
László Mucsi Hungary 15 238 1.0× 206 1.3× 226 1.6× 156 1.2× 142 2.0× 41 655
Ghali Abdullahi Abubakar China 12 119 0.5× 307 2.0× 154 1.1× 77 0.6× 40 0.6× 18 450
Leila Hashemi-Beni United States 13 200 0.9× 343 2.2× 107 0.7× 146 1.1× 52 0.7× 39 624
Asmamaw Gebrehiwot United States 9 162 0.7× 256 1.6× 80 0.6× 107 0.8× 41 0.6× 10 443
Silvia Maria Alfieri Netherlands 11 130 0.6× 230 1.5× 82 0.6× 97 0.8× 31 0.4× 19 381
Hamid Ebrahimy Iran 12 183 0.8× 171 1.1× 134 0.9× 120 0.9× 54 0.8× 20 436
Hengliang Guo China 13 129 0.6× 127 0.8× 92 0.6× 58 0.4× 34 0.5× 48 401

Countries citing papers authored by P. L. N. Raju

Since Specialization
Citations

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

Fields of papers citing papers by P. L. N. Raju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. L. N. Raju

This figure shows the co-authorship network connecting the top 25 collaborators of P. L. N. Raju. A scholar is included among the top collaborators of P. L. N. Raju 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. L. N. Raju. P. L. N. Raju 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.
Goswami, Chandan, et al.. (2020). HIERARCHICAL CLASSIFICATION FOR ASSESSMENT OF HORTICULTURAL CROPS IN MIXED CROPPING PATTERN USING UAV-BORNE MULTI-SPECTRAL SENSOR. SHILAP Revista de lepidopterología. XLIII-B3-2020. 67–74. 10 indexed citations
2.
Chutia, Dibyajyoti, et al.. (2020). Investigation on the COVID-19 Outbreak in India: Lockdown Impact and Vulnerability Analysis. Journal of Geographic Information System. 12(4). 334–347. 2 indexed citations
4.
Goswami, Jonali, et al.. (2019). RAPID IDENTIFICATION OF ABIOTIC STRESS (FROST) IN IN-FILED MAIZE CROP USING UAV REMOTE SENSING. SHILAP Revista de lepidopterología. XLII-3/W6. 467–471. 17 indexed citations
5.
Choudhury, Burhan U., et al.. (2019). Frost damage to maize in northeast India: assessment and estimated loss of yield by hyperspectral proximal remote sensing. Journal of Applied Remote Sensing. 13(4). 1–1. 19 indexed citations
6.
Raju, P. L. N., et al.. (2017). Characterization of parents and F1 seeds of rice hybrid KRH-4 using different chemical tests and seed image analyzer. AGRICULTURE UPDATE. 12(Special-5). 1261–1265. 1 indexed citations
7.
Khan, Ahmad, et al.. (2017). Crop Discrimination Using Multispectral Sensor Onboard Unmanned Aerial Vehicle. Proceedings of the National Academy of Sciences India Section A Physical Sciences. 87(4). 713–719. 22 indexed citations
8.
Goswami, Jonali, et al.. (2016). Rapid Assessment of Boro Paddy Infestation by Brown Planthopper in Morigaon District, Assam, India Using Unmanned Aerial Vehicle. Current Science. 111(10). 1604–1606. 3 indexed citations
9.
Sinha, Satish, et al.. (2016). Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers. Journal of Applied Remote Sensing. 10(1). 16016–16016. 7 indexed citations
10.
Sinha, Satish, et al.. (2015). Markov random field-based method for super-resolution mapping of forest encroachment from remotely sensed ASTER image. Geocarto International. 31(4). 428–445. 10 indexed citations
11.
Karnatak, Harish Chandra, P. L. N. Raju, Y. V. N. Krishna Murthy, S. K. Srivastav, & Prasun Kumar Gupta. (2014). E-learning based distance education programme on Remote Sensing and Geoinformation Science – An initiative of IIRS. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1237–1241. 1 indexed citations
12.
Aggarwal, R.K., Anil Kumar, P. L. N. Raju, & Y. V. N. Krishna Murthy. (2014). Gaussian Kernel Based Classification Approach for Wheat Identification. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 671–676. 9 indexed citations
13.
Rao, K. Ram Mohan, et al.. (2013). Application of Mobile Mapping and Location Based Services for Dehradun Health Services. 2(2). 1 indexed citations
14.
Sengar, Sandeep Singh, Anil Kumar, Sanjay Kumar Ghosh, et al.. (2013). Earthquake-induced built-up damage identification using fuzzy approach. Geomatics Natural Hazards and Risk. 4(4). 320–338. 5 indexed citations
15.
Mukherjee, Sandip, et al.. (2013). Evaluation of topographic index in relation to terrain roughness and DEM grid spacing. Journal of Earth System Science. 122(3). 869–886. 56 indexed citations
16.
Shankar, Hari, P. L. N. Raju, & K. Ram Mohan Rao. (2012). Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic. Journal of Transportation Technologies. 2(1). 50–62. 19 indexed citations
17.
Raju, P. L. N. & Prasun Kumar Gupta. (2012). SATELLITE BASED EDUCATION AND TRAINING IN REMOTE SENSING AND GEO-INFORMATION: AN E-LEARNING APPROACH TO MEET THE GROWING DEMANDS IN INDIA. SHILAP Revista de lepidopterología. XXXIX-B6. 25–29. 4 indexed citations
18.
Jeganathan, C., Nicholas Hamm, Sandip Mukherjee, et al.. (2010). Evaluating a thermal image sharpening model over a mixed agricultural landscape in India. International Journal of Applied Earth Observation and Geoinformation. 13(2). 178–191. 118 indexed citations
19.
Jeganathan, C., et al.. (2001). Characterisation of malaria vector habitats using Remote sensing and GIS. Journal of the Indian Society of Remote Sensing. 29(1-2). 31–36. 6 indexed citations
20.
Raju, P. L. N., et al.. (2001). A Geographic Information System approach to evaluation of groundwater potentiality of Shamri micro-watershed in the Shimla Taluk, Himachal Pradesh. Journal of the Indian Society of Remote Sensing. 29(3). 151–164. 31 indexed citations

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