S. S. Ray

2.1k total citations
72 papers, 1.6k citations indexed

About

S. S. Ray is a scholar working on Ecology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, S. S. Ray has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Ecology, 30 papers in Plant Science and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in S. S. Ray's work include Remote Sensing in Agriculture (36 papers), Climate change impacts on agriculture (15 papers) and Leaf Properties and Growth Measurement (15 papers). S. S. Ray is often cited by papers focused on Remote Sensing in Agriculture (36 papers), Climate change impacts on agriculture (15 papers) and Leaf Properties and Growth Measurement (15 papers). S. S. Ray collaborates with scholars based in India, United States and Tanzania. S. S. Ray's co-authors include Sushma Panigrahy, K. R. Manjunath, V. K. Dadhwal, S. Panigrahy, Rabi Narayan Sahoo, Namrata Jaın, S.K. Jalota, Anil K. Sood, J. P. Singh and Jai Singh Parihar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and International Journal of Remote Sensing.

In The Last Decade

S. S. Ray

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. S. Ray India 23 723 586 412 297 296 72 1.6k
Eddy De Pauw Syria 15 1.0k 1.4× 724 1.2× 394 1.0× 460 1.5× 185 0.6× 33 1.7k
Simone Pascucci Italy 25 1.0k 1.4× 524 0.9× 368 0.9× 895 3.0× 241 0.8× 79 2.1k
Yaping Cai United States 11 932 1.3× 624 1.1× 537 1.3× 415 1.4× 223 0.8× 15 1.5k
Taifeng Dong Canada 23 1.3k 1.8× 687 1.2× 712 1.7× 629 2.1× 318 1.1× 64 1.8k
Paolo Villa Italy 20 861 1.2× 651 1.1× 542 1.3× 361 1.2× 192 0.6× 53 2.0k
Sushma Panigrahy India 21 567 0.8× 246 0.4× 314 0.8× 222 0.7× 222 0.8× 51 1.0k
Anthony L. Nguy-Robertson United States 16 1.4k 1.9× 959 1.6× 718 1.7× 638 2.1× 213 0.7× 25 1.9k
Tobias Hank Germany 25 1.6k 2.3× 1.0k 1.7× 727 1.8× 762 2.6× 234 0.8× 57 2.4k
S. Panigrahy India 17 478 0.7× 292 0.5× 261 0.6× 309 1.0× 274 0.9× 56 988
Hongyuan Ma China 9 1.1k 1.5× 656 1.1× 709 1.7× 446 1.5× 303 1.0× 16 1.6k

Countries citing papers authored by S. S. Ray

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Ray

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Ray. A scholar is included among the top collaborators of S. S. Ray 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 S. S. Ray. S. S. Ray 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.
Vadrevu, Krishna Prasad, Thuy Le Toan, S. S. Ray, & Chris Justice. (2022). Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. 18 indexed citations
2.
Neetu, Neetu, et al.. (2021). Field-Level Crop Classification Using an Optimal Dataset of Multi-temporal Sentinel-1 and Polarimetric RADARSAT-2 SAR Data with Machine Learning Algorithms. Journal of the Indian Society of Remote Sensing. 49(12). 2945–2958. 7 indexed citations
3.
Gumma, Murali Krishna, M. D. M. Kadiyala, S. S. Ray, et al.. (2021). Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing. 50(2). 257–270. 33 indexed citations
4.
Rawat, Kishan Singh, Vinay Kumar Sehgal, Sudhir Kumar Singh, & S. S. Ray. (2021). Soil moisture estimation using triangular method at higher resolution from MODIS products. Physics and Chemistry of the Earth Parts A/B/C. 126. 103051–103051. 18 indexed citations
5.
Dubey, S. K., et al.. (2019). RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT. SHILAP Revista de lepidopterología. XLII-3/W6. 99–107. 8 indexed citations
6.
Rawat, Kishan Singh, Vinay Kumar Sehgal, Sanatan Pradhan, & S. S. Ray. (2017). Retrieval and validation of soil moisture from FRS-1 data set of radar imaging satellite (RISAT-1). Arabian Journal of Geosciences. 10(20). 16 indexed citations
7.
Das, Bhabani S., Priyabrata Santra, Rabi Narayan Sahoo, et al.. (2015). Hyperspectral remote sensing: opportunities, status and challenges for rapid soil assessment in India. Current Science. 108(5). 860–868. 31 indexed citations
8.
Sahoo, Rabi Narayan, S. S. Ray, & K. R. Manjunath. (2015). Hyperspectral Remote Sensing of Agriculture. Current Science. 108(5). 848–859. 104 indexed citations
9.
Ray, S. S., et al.. (2012). Crop Residue Discrimination Using Ground-Based Hyperspectral Data. Journal of the Indian Society of Remote Sensing. 10 indexed citations
10.
Jalota, S.K., et al.. (2012). Mitigating future climate change effects by shifting planting dates of crops in rice–wheat cropping system. Regional Environmental Change. 12(4). 913–922. 49 indexed citations
11.
Ray, S. S., et al.. (2011). Comparison of Two Data Smoothing Techniques for Vegetation Spectra Derived From EO-1 Hyperion. Journal of the Indian Society of Remote Sensing. 39(4). 443–453. 10 indexed citations
12.
Sahoo, Rabi Narayan, et al.. (2010). QUANTITATIVE ASSESSMENT OF SOIL CHEMICAL PROPERTIES USING VISIBLE (VIS) AND NEAR-INFRARED (NIR) PROXIMAL HYPERSPECTRAL DATA. 158. 41–60. 5 indexed citations
13.
Ray, S. S., et al.. (2010). Defining optimum spectral narrow bands and bandwidths for agricultural applications.. Current Science. 98(10). 1365–1369. 15 indexed citations
14.
Vyas, Dhaval, N. S. R. Krishnayya, K. R. Manjunath, S. S. Ray, & Sushma Panigrahy. (2010). Evaluation of classifiers for processing Hyperion (EO-1) data of tropical vegetation. International Journal of Applied Earth Observation and Geoinformation. 13(2). 228–235. 48 indexed citations
15.
Vulimiri, Ashish, et al.. (2008). Unsupervised Hyperspectral Image Analysis with Projection Pursuit and MRF Segmentation Approach.. 120–127. 5 indexed citations
16.
17.
Ray, S. S., et al.. (2008). Evaluation of EO-1 hyperion data for agricultural applications. Journal of the Indian Society of Remote Sensing. 36(3). 255–266. 28 indexed citations
18.
Ray, S. S., Anil K. Sood, Gargi Das, et al.. (2005). Use of GIS and remote sensing for crop diversification — a case study for Punjab state. Journal of the Indian Society of Remote Sensing. 33(2). 181–188. 7 indexed citations
19.
Panigrahy, Sushma, et al.. (2004). Analysis of cropping pattern changes in Bathinda district, Punjab. Journal of the Indian Society of Remote Sensing. 32(2). 209–216. 5 indexed citations
20.
Ray, S. S., et al.. (2001). Effect of Green Manuring and Tillage Practices on Physical Properties of Puddled Loam Soil under Rice-Wheat Cropping System. Journal of the Indian Society of Soil Science. 49(4). 670–678. 18 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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