Prasenjit Acharya

538 total citations
20 papers, 390 citations indexed

About

Prasenjit Acharya is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Prasenjit Acharya has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Prasenjit Acharya's work include Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (6 papers) and Atmospheric aerosols and clouds (5 papers). Prasenjit Acharya is often cited by papers focused on Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (6 papers) and Atmospheric aerosols and clouds (5 papers). Prasenjit Acharya collaborates with scholars based in India, United States and Sri Lanka. Prasenjit Acharya's co-authors include Rajesh Kumar, Pritam Chand, S. Sreekesh, Somnath Bar, Surajit Ghosh, Nilanjana Das Chatterjee, Kousik Das, Raj Kumar Bhattacharya, Ashis Sarkar and G. Roberts and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Remote Sensing.

In The Last Decade

Prasenjit Acharya

20 papers receiving 378 citations

Peers

Prasenjit Acharya
Prasenjit Acharya
Citations per year, relative to Prasenjit Acharya Prasenjit Acharya (= 1×) peers Qinghuan Qian

Countries citing papers authored by Prasenjit Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Prasenjit Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasenjit Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Prasenjit Acharya. A scholar is included among the top collaborators of Prasenjit Acharya 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 Prasenjit Acharya. Prasenjit Acharya 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
2.
Bar, Somnath, et al.. (2024). Investigation of fire regime dynamics and modeling of burn area over India for the twenty-first century. Environmental Science and Pollution Research. 31(41). 53839–53855. 4 indexed citations
3.
Acharya, Prasenjit, et al.. (2023). Energy inequality and air pollution nexus in India. The Science of The Total Environment. 876. 162805–162805. 6 indexed citations
4.
Acharya, Prasenjit, et al.. (2023). Estimation of high-resolution aerosol optical depth (AOD) from Landsat and Sentinel images using SEMARA model over selected locations in South Asia. Atmospheric Research. 298. 107141–107141. 1 indexed citations
5.
Acharya, Prasenjit, et al.. (2022). Exploring the effect of waterbodies coupled with other environmental parameters to model PM2.5 over Delhi-NCT in northwest India. Atmospheric Pollution Research. 13(12). 101614–101614. 7 indexed citations
6.
Acharya, Prasenjit, Srikanta Sannigrahi, Qi Zhang, et al.. (2022). Mapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plain. Geocarto International. 37(25). 10254–10277. 14 indexed citations
7.
Bar, Somnath, Bikash Ranjan Parida, G. Roberts, et al.. (2021). Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India. GIScience & Remote Sensing. 58(2). 281–299. 34 indexed citations
8.
Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, Prasenjit Acharya, & Kousik Das. (2021). Morphometric analysis to characterize the soil erosion susceptibility in the western part of lower Gangetic River basin, India. Arabian Journal of Geosciences. 14(6). 26 indexed citations
9.
Rani, Seema, et al.. (2021). Assessing the spatial distribution of aerosols and air quality over the Ganga River basin during COVID-19 lockdown phase-1. Remote Sensing Applications Society and Environment. 23. 100546–100546. 1 indexed citations
10.
Acharya, Prasenjit, et al.. (2020). Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations. Environmental Research. 193. 110514–110514. 41 indexed citations
11.
Acharya, Prasenjit, et al.. (2020). A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent. Journal of Atmospheric and Solar-Terrestrial Physics. 211. 105478–105478. 14 indexed citations
12.
Acharya, Prasenjit, Çhandrashekhar Biradar, Mounir Louhaichi, et al.. (2019). Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus-indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India. Sustainability. 11(21). 5897–5897. 15 indexed citations
13.
Acharya, Prasenjit, et al.. (2018). Characterisation of emission from open-field burning of crop residue during harvesting period in north-west India. Environmental Monitoring and Assessment. 190(11). 663–663. 11 indexed citations
14.
Acharya, Prasenjit, et al.. (2018). MAPPING RICE CROPPING SYSTEM IN THE LOWER GANGETIC PLAIN USING LANDASAT 8 (OLI) AND MODIS IMAGERY. SHILAP Revista de lepidopterología. XLII-5. 271–274. 1 indexed citations
15.
Sharma, Milap Chand, et al.. (2017). Seasonal characteristics of black carbon aerosol mass concentrations and influence of meteorology, New Delhi (India). Urban Climate. 24. 968–981. 19 indexed citations
16.
Acharya, Prasenjit, S. Sreekesh, & Umesh Chandra Kulshrestha. (2016). GHG AND AEROSOL EMISSION FROM FIRE PIXEL DURING CROP RESIDUE BURNING UNDER RICE AND WHEAT CROPPING SYSTEMS IN NORTH-WEST INDIA. SHILAP Revista de lepidopterología. XLI-B2. 753–760. 5 indexed citations
17.
Kumar, Rajesh & Prasenjit Acharya. (2016). Flood hazard and risk assessment of 2014 floods in Kashmir Valley: a space-based multisensor approach. Natural Hazards. 84(1). 437–464. 79 indexed citations
18.
Acharya, Prasenjit & Milap Punia. (2013). Comparison of MODIS derived land use and land cover with Ministry of Agriculture reported statistics for India. Journal of Applied Remote Sensing. 7(1). 73524–73524. 3 indexed citations
19.
Acharya, Prasenjit & S. Sreekesh. (2013). Seasonal variability in aerosol optical depth over India: a spatio-temporal analysis using the MODIS aerosol product. International Journal of Remote Sensing. 34(13). 4832–4849. 32 indexed citations
20.
Chand, Pritam & Prasenjit Acharya. (2010). Shoreline change and sea level rise along coast of Bhitarkanika wildlife sanctuary, Orissa: an analytical approach of remote sensing and statistical techniques.. International journal of Geomatics and Geosciences. 1(3). 436–455. 72 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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