C. S. Murthy

1.4k total citations
55 papers, 911 citations indexed

About

C. S. Murthy is a scholar working on General Agricultural and Biological Sciences, Plant Science and Ecology. According to data from OpenAlex, C. S. Murthy has authored 55 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Agricultural and Biological Sciences, 17 papers in Plant Science and 15 papers in Ecology. Recurrent topics in C. S. Murthy's work include Agricultural Economics and Practices (19 papers), Remote Sensing in Agriculture (15 papers) and Hydrology and Drought Analysis (11 papers). C. S. Murthy is often cited by papers focused on Agricultural Economics and Practices (19 papers), Remote Sensing in Agriculture (15 papers) and Hydrology and Drought Analysis (11 papers). C. S. Murthy collaborates with scholars based in India, Australia and United States. C. S. Murthy's co-authors include M. V. R. Sesha Sai, M. Naresh Kumar, Prama Roy, P. S. Roy, Abhishek Chakraborty, K. Chandrasekar, Pavan Kumar, Manoj Kumar Yadav, R. S. Hooda and P. G. Diwakar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and International Journal of Remote Sensing.

In The Last Decade

C. S. Murthy

51 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. S. Murthy India 13 573 247 238 170 139 55 911
Rogério Bonifácio Italy 12 333 0.6× 201 0.8× 104 0.4× 232 1.4× 112 0.8× 19 672
Gohar Ghazaryan Germany 17 369 0.6× 279 1.1× 123 0.5× 91 0.5× 124 0.9× 45 763
N. R. Patel India 19 827 1.4× 538 2.2× 189 0.8× 192 1.1× 353 2.5× 71 1.3k
Liyan Tian United States 9 563 1.0× 544 2.2× 251 1.1× 164 1.0× 288 2.1× 14 975
Fuyou Tian China 19 385 0.7× 515 2.1× 99 0.4× 282 1.7× 245 1.8× 38 1.0k
Rishiraj Dutta India 10 307 0.5× 263 1.1× 76 0.3× 135 0.8× 72 0.5× 20 594
Wang Zhou United States 19 416 0.7× 313 1.3× 144 0.6× 215 1.3× 259 1.9× 52 1.2k
Diego de Abelleyra Argentina 12 280 0.5× 401 1.6× 94 0.4× 111 0.7× 213 1.5× 30 736
Bahram Daneshfar Canada 14 260 0.5× 344 1.4× 85 0.4× 127 0.7× 140 1.0× 33 700
Vijendra K. Boken United States 13 255 0.4× 153 0.6× 142 0.6× 81 0.5× 178 1.3× 26 567

Countries citing papers authored by C. S. Murthy

Since Specialization
Citations

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

Fields of papers citing papers by C. S. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. S. Murthy

This figure shows the co-authorship network connecting the top 25 collaborators of C. S. Murthy. A scholar is included among the top collaborators of C. S. Murthy 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 C. S. Murthy. C. S. Murthy 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.
Murthy, C. S., et al.. (2024). Constraints faced in production and marketing of arecanut in Karnataka. Journal of Farm Sciences. 37(1). 54–58.
2.
Gumma, Murali Krishna, S. K. Dubey, D. K. Ray, et al.. (2024). Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing. 16(15). 2733–2733. 4 indexed citations
3.
Murthy, C. S., et al.. (2023). Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index. Environmental Monitoring and Assessment. 195(8). 925–925. 11 indexed citations
4.
Murthy, C. S., et al.. (2022). Paddy crop insurance using satellite-based composite index of crop performance. Geomatics Natural Hazards and Risk. 13(1). 310–336. 12 indexed citations
5.
Murthy, C. S., et al.. (2022). Generating pre-harvest crop maps by applying convolutional neural network on multi-temporal Sentinel-1 data. International Journal of Remote Sensing. 43(15-16). 6078–6101. 15 indexed citations
6.
Barman, D., Abhishek Chakraborty, Prabir Kumar Das, et al.. (2022). Net ecosystem CO2 exchange from jute crop (Corchorus olitorius L.) and its environmental drivers in tropical Indo-Gangetic plain using open-path eddy covariance technique. Environmental Monitoring and Assessment. 194(4). 251–251. 7 indexed citations
7.
Murthy, C. S., et al.. (2022). Remote sensing based crop insurance for jute (Corchorus olitorius) crop in India. Remote Sensing Applications Society and Environment. 26. 100717–100717. 4 indexed citations
8.
Chakraborty, Abhishek, C. S. Murthy, M. V. R. Seshasai, et al.. (2022). Developing a spatial information system of biomass potential from crop residues over India: A decision support for planning and establishment of biofuel/biomass power plant. Renewable and Sustainable Energy Reviews. 165. 112575–112575. 12 indexed citations
9.
Kumar, Dhruv, et al.. (2021). Monitoring of Spectral Signatures of Maize Crop using Temporal SAR and Optical Remote Sensing data. International Journal of Bio-resource and Stress Management. 12(6). 745–750. 3 indexed citations
10.
Murthy, C. S., et al.. (2019). Study the trend in area, production and productivity of tamarind. Journal of Pharmacognosy and Phytochemistry. 8(5). 283–289. 1 indexed citations
11.
Murthy, C. S., et al.. (2016). GEOSPATIAL ANALYSIS OF NEAR-SURFACE SOIL MOISTURE TIME SERIES DATA OVER INDIAN REGION. SHILAP Revista de lepidopterología. XLI-B7. 631–637. 3 indexed citations
12.
Murthy, C. S., et al.. (2015). A study on agricultural drought vulnerability at disaggregated level in a highly irrigated and intensely cropped state of India. Environmental Monitoring and Assessment. 187(3). 140–140. 32 indexed citations
13.
Murthy, C. S., et al.. (2014). Growth trends in area, production, productivity and export of pomegranate in Karnataka : An economic analysis. 7(1). 11–15. 2 indexed citations
14.
Murthy, C. S., et al.. (2014). Analysing agricultural drought vulnerability at sub-district level through exposure, sensitivity and adaptive capacity based composite index. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 65–70. 6 indexed citations
15.
Singh, Ajay, et al.. (2013). Sanitary Management in Slaughter Houses in Madhya Pradesh. 6(1). 45–50.
16.
Murthy, C. S., et al.. (2012). Value addition and marketing efficiency in arecanut processing units. Journal of Farm Sciences. 25(1). 77–81. 2 indexed citations
17.
Murthy, C. S., et al.. (2009). Production and marketing of vermicompost in Dharwad district: an economic analysis.. Journal of Farm Sciences. 22(4). 850–853. 4 indexed citations
18.
Murthy, C. S., et al.. (2009). Profitability analysis of sugarcane based inter cropping systems in Belgaum district of Karnataka.. Journal of Farm Sciences. 22(4). 820–823. 4 indexed citations
19.
Kumar, M. Naresh, C. S. Murthy, M. V. R. Sesha Sai, & Prama Roy. (2009). On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Meteorological Applications. 16(3). 381–389. 291 indexed citations
20.
Roy, Pierre, P. C. Joshi, C. S. Murthy, et al.. (2006). Geoinformatics for drought assessment.. 23–60. 3 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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