Rajeev Ranjan

575 total citations
45 papers, 328 citations indexed

About

Rajeev Ranjan is a scholar working on Plant Science, Ecology and Agronomy and Crop Science. According to data from OpenAlex, Rajeev Ranjan has authored 45 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 14 papers in Ecology and 10 papers in Agronomy and Crop Science. Recurrent topics in Rajeev Ranjan's work include Remote Sensing in Agriculture (14 papers), Smart Agriculture and AI (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Rajeev Ranjan is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Smart Agriculture and AI (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Rajeev Ranjan collaborates with scholars based in India, Spain and Egypt. Rajeev Ranjan's co-authors include Sanatan Pradhan, Ajay Singh, Usha Kiran Chopra, Manoj Khanna, Arti Bhatia, Susama Sudhishri, D. K. Singh, Rabi Narayan Sahoo, Joydeep Mukherjee and Sudhir Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemosphere.

In The Last Decade

Rajeev Ranjan

40 papers receiving 312 citations

Peers

Rajeev Ranjan

ECOLO

Francelino A. Rodrigues Mexico

Xinlei Wang China

Mario Alberto Vázquez Peña Mexico

Maosong Li China

Zhaopeng Fu China

Brian Krienke United States

Luan Pierre Pott Brazil

Yumiko Kanke United States

Jingbo Li China

Yogesh Anand Rajwade India

Francelino A. Rodrigues Mexico

Rajeev Ranjan

263 ×1.3

204 ×1.4

ECOLO

144 ×2.1

54 ×0.9

49 ×1.1

Citations per year, relative to Rajeev Ranjan Rajeev Ranjan (= 1×) peers Francelino A. Rodrigues

Countries citing papers authored by Rajeev Ranjan

Since Specialization

Citations

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

Fields of papers citing papers by Rajeev Ranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Ranjan

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

All Works

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20 of 20 papers shown

Varsha, Varsha, et al.. (2025). Microplastics assessment in the lower stretch of the Ganga River sediment from East Indian region: Influence of land use and rainfall patterns. Chemosphere. 385. 144530–144530. 1 indexed citations

Ranjan, Rajeev, Rabi Narayan Sahoo, Joydeep Mukherjee, et al.. (2025). Drone thermal imaging for assessing water status response of variable nitrogen and water application in wheat. Plant Physiology Reports. 30(2). 224–235. 1 indexed citations

Sahoo, Rabi Narayan, R. G. Rejith, Rajeev Ranjan, et al.. (2025). Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model. International Journal of Remote Sensing. 46(23). 8990–9014.

Biswal, Jitendra K., Rajeev Ranjan, Jajati K. Mohapatra, Nihar Ranjan Sahoo, & Rabindra Prasad Singh. (2025). Pan-serotype reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay targeting 2B-NSP coding region for colorimetric detection of foot-and-mouth disease virus in clinical samples. Virus Genes. 61(4). 490–497. 1 indexed citations

Rejith, R. G., et al.. (2025). Estimating Leaf Area Index of Wheat Using UAV-Hyperspectral Remote Sensing and Machine Learning. SHILAP Revista de lepidopterología. 11–11.

Patel, N. R., et al.. (2024). Evaluating rice crop phenology and crop yield in hilly region using satellite imagery and Google Earth Engine. Journal of Agrometeorology. 26(4). 395–400. 1 indexed citations

Danodia, Abhishek, Salwan Ali Abed, Ajeet Singh Nain, et al.. (2024). Estimation of the crop evapotranspiration for Udham Singh Nagar district using modified Priestley-Taylor model and Landsat imagery. Scientific Reports. 14(1). 21463–21463. 3 indexed citations

Sahoo, Rabi Narayan, et al.. (2024). Monitoring cropland LAI using Gaussian Process Regression and sentinel – 2 surface reflectance data in Google Earth Engine. International Journal of Remote Sensing. 45(15). 5008–5027. 3 indexed citations

Ranjan, Rajeev, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, et al.. (2024). Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India. Computers and Electronics in Agriculture. 229. 109667–109667. 7 indexed citations

10.

Ranjan, Rajeev, et al.. (2023). An Overview and Future Reflection of Battery Management Systems in Electric Vehicles. 1–6. 2 indexed citations

11.

Rejith, R. G., Rabi Narayan Sahoo, Jochem Verrelst, et al.. (2023). UAV-Based Retrieval Of Wheat Canopy Chlorophyll Content Using A Hybrid Machine Learning Approach. 1–4. 2 indexed citations

12.

Rana, Maneet, et al.. (2019). Genetic architecture and population structure of Oat Landraces (Avena sativa L.) using molecular and morphological descriptors. 18(3). 439–450. 5 indexed citations

13.

Ranjan, Rajeev, Jitendra K. Biswal, Gaurav Kumar Sharma, et al.. (2016). Use of nucleic acid recognition methods (m-PCR and RT-LAMP) for the detection of foot-and-mouth disease virus excreted in cow milk. The Indian Journal of Animal Sciences. 86(8). 4 indexed citations

14.

Ranjan, Rajeev, et al.. (2016). Dynamics of soil physical and chemical properties under wheat (Triticum aestivum L.) - poplar (Populus deltoides M.) based agroforestry system. 18(2). 41–46. 3 indexed citations

15.

Ranjan, Rajeev, et al.. (2016). Management of foot and mouth disease in a dairy farm: By ethnoveterinary practice. The Indian Journal of Animal Sciences. 86(3). 5 indexed citations

16.

Ranjan, Rajeev, et al.. (2015). Resource conservation in wheat (Triticum aestivum L.) under different waterand nitrogen stress levels. Indian Journal of Soil Conservation. 43(2). 159–165. 1 indexed citations

17.

Ranjan, Rajeev, et al.. (2015). AN ANALYTICAL OVERVIEW OF MSMED ACT 2006 IN ALLEVIATING THE PROBLEMS OF MICRO, SMALL AND MEDIUM ENTERPRISES. 5(1).

18.

Kumar, Sudhir, et al.. (2015). Variability, heritability and character association studies for growth and seed yield in Jatropha Curcas crosses. Range Management and Agroforestry. 36(2). 229–232. 1 indexed citations

19.

Upadhyay, R. G. & Rajeev Ranjan. (2015). Effect of growth hormones on morphological parameters, yield and quality of soybean (Glycine max L.) during changing scenario of climate under mid hill conditions of Uttarakhand.. International journal of tropical agriculture. 33. 1899–1904. 4 indexed citations

20.

Ahlawat, S. P., et al.. (2012). Assessment of genetic variability in growth, reproductive phenology, seed characters and yield in Jatropha curcas (L.) genetic resources.. Range Management and Agroforestry. 33(1). 53–56. 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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