Ritika Srinet

812 total citations
23 papers, 596 citations indexed

About

Ritika Srinet is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ritika Srinet has authored 23 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 13 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Ritika Srinet's work include Remote Sensing in Agriculture (17 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Remote Sensing and LiDAR Applications (9 papers). Ritika Srinet is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Remote Sensing and LiDAR Applications (9 papers). Ritika Srinet collaborates with scholars based in India, Sri Lanka and Netherlands. Ritika Srinet's co-authors include Subrata Nandy, Hitendra Padalia, N. R. Patel, Surajit Ghosh, Prakash Chauhan, An T. N. Dang, Taibanganba Watham, N. R. Patel, Sanjiv K. Sinha and Ashesh Kumar Das and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Ritika Srinet

23 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritika Srinet India 12 393 352 274 180 86 23 596
Asim Banskota United States 9 446 1.1× 358 1.0× 351 1.3× 154 0.9× 53 0.6× 9 664
Paweł Hawryło Poland 13 281 0.7× 312 0.9× 225 0.8× 203 1.1× 58 0.7× 43 552
Titta Majasalmi Finland 12 418 1.1× 278 0.8× 324 1.2× 120 0.7× 113 1.3× 22 564
Eduarda Martiniano de Oliveira Silveira Brazil 14 385 1.0× 229 0.7× 251 0.9× 186 1.0× 33 0.4× 42 581
Ewa Grabska‐Szwagrzyk Poland 11 384 1.0× 303 0.9× 259 0.9× 143 0.8× 58 0.7× 16 620
Bianca N.I. Eskelson Canada 13 230 0.6× 254 0.7× 296 1.1× 303 1.7× 30 0.3× 54 601
Akash Anand India 13 323 0.8× 135 0.4× 237 0.9× 81 0.5× 35 0.4× 37 545
Hrvoje Marjanović Croatia 13 265 0.7× 145 0.4× 299 1.1× 172 1.0× 142 1.7× 44 629
She Guang-hui China 12 300 0.8× 503 1.4× 149 0.5× 330 1.8× 38 0.4× 33 653
Anders Siggins Australia 7 181 0.5× 357 1.0× 204 0.7× 316 1.8× 27 0.3× 9 547

Countries citing papers authored by Ritika Srinet

Since Specialization
Citations

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

Fields of papers citing papers by Ritika Srinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritika Srinet

This figure shows the co-authorship network connecting the top 25 collaborators of Ritika Srinet. A scholar is included among the top collaborators of Ritika Srinet 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 Ritika Srinet. Ritika Srinet 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.
Srinet, Ritika, et al.. (2025). Impact of anthropogenic disturbance and climate on bamboo distribution in shifting cultivation landscapes of Northeast India. Scientific Reports. 15(1). 28290–28290. 2 indexed citations
2.
Nandy, Subrata, et al.. (2023). Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements. Forest Ecology and Management. 548. 121385–121385. 2 indexed citations
3.
Srinet, Ritika, et al.. (2023). Forest Height and Aboveground Biomass Mapping by synergistic use of GEDI and Sentinel Data using Random Forest Algorithm in the Indian Himalayan Region. Journal of the Indian Society of Remote Sensing. 52(4). 857–869. 9 indexed citations
4.
Srinet, Ritika, Subrata Nandy, N. R. Patel, et al.. (2022). Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model. Ecological Modelling. 475. 110185–110185. 17 indexed citations
5.
Srinet, Ritika, Subrata Nandy, Taibanganba Watham, et al.. (2022). Measuring evapotranspiration by eddy covariance method and understanding its biophysical controls in moist deciduous forest of northwest Himalayan foothills of India. Tropical Ecology. 63(3). 387–397. 5 indexed citations
6.
Nandy, Subrata, et al.. (2022). Bamboo Mapping Using Earth Observation Data: A Systematic Review. Journal of the Indian Society of Remote Sensing. 50(11). 2055–2072. 16 indexed citations
7.
8.
Nandy, Subrata, et al.. (2021). Spatio-temporal variability of water use efficiency and its drivers in major forest formations in India. Remote Sensing of Environment. 269. 112791–112791. 43 indexed citations
9.
Srinet, Ritika, Subrata Nandy, Taibanganba Watham, Hitendra Padalia, & N. R. Patel. (2021). Coupling Earth observation and eddy covariance data in light-use efficiency based model for estimation of forest productivity. Geocarto International. 37(25). 7716–7732. 4 indexed citations
10.
Nandy, Subrata, Ritika Srinet, & Hitendra Padalia. (2021). Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India. Geophysical Research Letters. 48(14). 137 indexed citations
11.
Pandey, Sanjay, et al.. (2020). High-Resolution Mapping of Forest Carbon Stock Using Object-Based Image Analysis (OBIA) Technique. Journal of the Indian Society of Remote Sensing. 48(6). 865–875. 5 indexed citations
12.
Padalia, Hitendra, et al.. (2020). Above-ground biomass estimation of Indian tropical forests using X band Pol-InSAR and Random Forest. Remote Sensing Applications Society and Environment. 21. 100462–100462. 20 indexed citations
13.
Srinet, Ritika, Subrata Nandy, Hitendra Padalia, et al.. (2020). Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine. International Journal of Remote Sensing. 41(18). 7296–7309. 31 indexed citations
14.
Watham, Taibanganba, Ritika Srinet, Subrata Nandy, et al.. (2020). Environmental control on carbon exchange of natural and planted forests in Western Himalayan foothills of India. Biogeochemistry. 151(2-3). 291–311. 19 indexed citations
15.
Nandy, Subrata, et al.. (2020). Mapping spatial variability of foliar nitrogen and carbon in Indian tropical moist deciduous sal (Shorea robusta) forest using machine learning algorithms and Sentinel-2 data. International Journal of Remote Sensing. 42(3). 1139–1159. 11 indexed citations
16.
Srinet, Ritika, Subrata Nandy, Taibanganba Watham, et al.. (2020). Spatio-temporal variability of gross primary productivity in moist and dry deciduous plant functional types of Northwest Himalayan foothills of India using temperature-greenness model. Geocarto International. 37(7). 2055–2067. 10 indexed citations
17.
18.
Srinet, Ritika, Subrata Nandy, & N. R. Patel. (2019). Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India. Ecological Informatics. 52. 94–102. 81 indexed citations
19.
Srinet, Ritika, Subrata Nandy, & N. R. Patel. (2018). Remote sensing based estimation of forest biophysical variables using machine learning algorithm. Common Library Network (Der Gemeinsame Bibliotheksverbund). 1 indexed citations
20.
Dang, An T. N., et al.. (2018). Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam. Ecological Informatics. 50. 24–32. 133 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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