G. Rajashekar

633 total citations
21 papers, 449 citations indexed

About

G. Rajashekar is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Ecology. According to data from OpenAlex, G. Rajashekar has authored 21 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 12 papers in Environmental Engineering and 10 papers in Ecology. Recurrent topics in G. Rajashekar's work include Forest ecology and management (13 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote Sensing in Agriculture (10 papers). G. Rajashekar is often cited by papers focused on Forest ecology and management (13 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote Sensing in Agriculture (10 papers). G. Rajashekar collaborates with scholars based in India, France and United States. G. Rajashekar's co-authors include V. K. Dadhwal, C. S. Jha, C. Sudhakar Reddy, P. G. Diwakar, P. Hari Krishna, K. V. Satish, K. R. L. Saranya, S. Vazeed Pasha, Tara Chand and Raphaël Pélissier and has published in prestigious journals such as Forest Ecology and Management, Remote Sensing and Ecological Indicators.

In The Last Decade

G. Rajashekar

20 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Rajashekar India 12 250 230 200 199 54 21 449
Sarnam Singh India 12 284 1.1× 252 1.1× 133 0.7× 137 0.7× 65 1.2× 45 491
Zhaoju Zheng China 12 295 1.2× 202 0.9× 114 0.6× 181 0.9× 65 1.2× 24 451
Christopher R. Hakkenberg United States 13 201 0.8× 187 0.8× 148 0.7× 156 0.8× 66 1.2× 29 393
Khaldoun Rishmawi United States 11 353 1.4× 331 1.4× 126 0.6× 207 1.0× 42 0.8× 13 525
Samuel Hislop Australia 14 412 1.6× 471 2.0× 183 0.9× 253 1.3× 56 1.0× 27 645
Irene Chrysafis Greece 8 282 1.1× 143 0.6× 146 0.7× 240 1.2× 68 1.3× 18 391
Laura M. Burkett United States 8 270 1.1× 209 0.9× 148 0.7× 71 0.4× 39 0.7× 13 438
Cynthia S.A. Wallace United States 14 312 1.2× 256 1.1× 152 0.8× 95 0.5× 83 1.5× 29 495
Christina Eisfelder Germany 11 302 1.2× 249 1.1× 87 0.4× 155 0.8× 40 0.7× 21 477
Rebecca K. Gibson Australia 10 269 1.1× 423 1.8× 87 0.4× 107 0.5× 45 0.8× 17 510

Countries citing papers authored by G. Rajashekar

Since Specialization
Citations

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

Fields of papers citing papers by G. Rajashekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Rajashekar

This figure shows the co-authorship network connecting the top 25 collaborators of G. Rajashekar. A scholar is included among the top collaborators of G. Rajashekar 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 G. Rajashekar. G. Rajashekar 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.
Das, Anup, et al.. (2024). Estimation of above-ground biomass and delineation of vegetation of tropical forests using EOS-04 data. Current Science. 126(9). 1088–1088. 1 indexed citations
2.
3.
Rodda, Suraj Reddy, et al.. (2023). Non-Destructive Allometric Modeling for Tree Volume Estimation in Tropical Dry Deciduous Forests of India Using Terrestrial Laser Scanner. Journal of the Indian Society of Remote Sensing. 52(4). 825–839. 7 indexed citations
4.
Das, Prabir Kumar, et al.. (2023). Forest Characterization Using C-band SAR Data—Initial Results of EOS-04 Data. Journal of the Indian Society of Remote Sensing. 52(4). 787–800. 1 indexed citations
5.
Rodda, Suraj Reddy, et al.. (2023). Evaluation of Height Metrics and Above-Ground Biomass Density from GEDI and ICESat-2 Over Indian Tropical Dry Forests using Airborne LiDAR Data. Journal of the Indian Society of Remote Sensing. 52(4). 841–856. 20 indexed citations
6.
Schmitt, Sylvain, Valérie Raevel, Maxime Réjou‐Méchain, et al.. (2021). Canopy and understorey tree guilds respond differently to the environment in an Indian rain forest. Journal of Vegetation Science. 32(5). 3 indexed citations
7.
Srivastava, Gaurav, et al.. (2021). Assessment of Carbon Stock at Tree Level Using Terrestrial Laser Scanning Vs. Traditional Methods in Tropical Forest, India. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 5064–5071. 8 indexed citations
8.
Rajashekar, G., et al.. (2021). Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm. Ecological Informatics. 65. 101392–101392. 54 indexed citations
9.
Das, Arundhati, et al.. (2021). Expansion of pine into mid-elevation Himalayan oak forests: Patterns and drivers in a multiple-use landscape. Forest Ecology and Management. 497. 119491–119491. 7 indexed citations
10.
Das, Anup, Praveen Kumar Gupta, Dharmendra Kumar Pandey, et al.. (2021). Ecosystem Applications Opportunities with NISAR. 277–280. 1 indexed citations
11.
Thumaty, Kiran Chand, et al.. (2020). Quantifying the influence of plot-level uncertainty in above ground biomass up scaling using remote sensing data in central Indian dry deciduous forest. Geocarto International. 37(12). 3489–3503. 14 indexed citations
12.
Reddy, C. Sudhakar, Gaurav Srivastava, Hitendra Padalia, et al.. (2020). Remote sensing enabled essential biodiversity variables for biodiversity assessment and monitoring: technological advancement and potentials. Biodiversity and Conservation. 30(1). 1–14. 38 indexed citations
13.
Jha, C. S., C. Sudhakar Reddy, G. Rajashekar, et al.. (2019). Characterization of Species Diversity and Forest Health using AVIRIS-NG Hyperspectral Remote Sensing Data. Current Science. 116(7). 1124–1124. 24 indexed citations
14.
Rajashekar, G., Natesan Balachandran, Maxime Réjou‐Méchain, et al.. (2017). Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. Remote Sensing. 9(3). 228–228. 21 indexed citations
15.
Rajashekar, G., et al.. (2017). Spatial distribution of forest biomass carbon (Above and below ground) in Indian forests. Ecological Indicators. 85. 742–752. 42 indexed citations
16.
Rajashekar, G., et al.. (2016). Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Forests of Western Ghats, India. Journal of the Indian Society of Remote Sensing. 45(4). 657–665. 13 indexed citations
17.
Reddy, C. Sudhakar, C. S. Jha, Sonali Singh, et al.. (2016). Geospatial assessment of long-term changes in carbon stocks and fluxes in forests of India (1930–2013). Global and Planetary Change. 143. 50–65. 24 indexed citations
18.
Vega, Cédric, Udayalakshmi Vepakomma, G. Rajashekar, et al.. (2015). Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar. Remote Sensing. 7(8). 10607–10625. 27 indexed citations
19.
Reddy, C. Sudhakar, C. S. Jha, V. K. Dadhwal, et al.. (2015). Quantification and monitoring of deforestation in India over eight decades (1930–2013). Biodiversity and Conservation. 25(1). 93–116. 111 indexed citations
20.
Amarnath, Giriraj, M. S. R. Murthy, S. John Britto, G. Rajashekar, & C. B. S. Dutt. (2003). Diagnostic analysis of conservation zones using remote sensing and GIS techniques in wet evergreen forests of the Western Ghats – An ecological hotspot, Tamil Nadu, India. Biodiversity and Conservation. 12(12). 2331–2359. 22 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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