C. S. Jha

650 total citations
19 papers, 473 citations indexed

About

C. S. Jha is a scholar working on Electrical and Electronic Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, C. S. Jha has authored 19 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Global and Planetary Change and 5 papers in Ecology. Recurrent topics in C. S. Jha's work include Electric Motor Design and Analysis (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Wind Turbine Control Systems (4 papers). C. S. Jha is often cited by papers focused on Electric Motor Design and Analysis (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Wind Turbine Control Systems (4 papers). C. S. Jha collaborates with scholars based in India, Canada and Nepal. C. S. Jha's co-authors include Bhim Singh, L. Shridhar, S. Srinivasa Murthy, B.P. Singh, C. Sudhakar Reddy, K. R. L. Saranya, S. Sreenivasa Murthy, Y. V. N. Krishna Murthy, S. Vazeed Pasha and K. V. Satish and has published in prestigious journals such as IEEE Transactions on Industry Applications, International Journal of Remote Sensing and IEEE Transactions on Energy Conversion.

In The Last Decade

C. S. Jha

19 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. S. Jha India	12	266	121	97	95	47	19	473
Xia Jing China	12	71 0.3×	131 1.1×	161 1.7×	101 1.1×	17 0.4×	44	473
Beth Ziniti United States	10	155 0.6×	26 0.2×	166 1.7×	83 0.9×	24 0.5×	13	603
Zhiyuan Zeng China	10	95 0.4×	40 0.3×	50 0.5×	37 0.4×	37 0.8×	54	301
Tom Key United States	8	180 0.7×	136 1.1×	163 1.7×	56 0.6×	30 0.6×	20	402
Gourav Misra India	12	151 0.6×	15 0.1×	236 2.4×	140 1.5×	39 0.8×	36	563
Philip Bailey United States	13	77 0.3×	32 0.3×	146 1.5×	48 0.5×	260 5.5×	34	535
Yuhong Tian China	7	126 0.5×	22 0.2×	99 1.0×	133 1.4×	11 0.2×	15	438
Artur Zolich Norway	12	82 0.3×	33 0.3×	40 0.4×	34 0.4×	3 0.1×	27	395
Spartacus Gomáriz Castro Spain	12	128 0.5×	103 0.9×	181 1.9×	40 0.4×	2 0.0×	61	574

Countries citing papers authored by C. S. Jha

Since Specialization

Citations

This map shows the geographic impact of C. S. Jha'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. Jha 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. Jha more than expected).

Fields of papers citing papers by C. S. Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of C. S. Jha. A scholar is included among the top collaborators of C. S. Jha 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. Jha. C. S. Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Jha, C. S., et al.. (2022). Assessment of Trees Outside Forest (TOF) in Urban Landscape Using High-Resolution Satellite Images and Deep Learning Techniques. Journal of the Indian Society of Remote Sensing. 51(3). 549–564. 5 indexed citations

Pandey, Ashish, Amar Kant Gautam, V. M. Chowdary, C. S. Jha, & Artemi Cerdà. (2021). Uncertainty Assessment in Soil Erosion Modelling Using RUSLE, Multisource and Multiresolution DEMs. Journal of the Indian Society of Remote Sensing. 49(7). 1689–1707. 19 indexed citations

Paul, Arati, et al.. (2021). Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising. Multimedia Tools and Applications. 81(2). 2529–2555. 19 indexed citations

Reddy, C. Sudhakar, et al.. (2018). Earth observation data for assessing biodiversity conservation priorities in South Asia. Biodiversity and Conservation. 28(8-9). 2197–2219. 16 indexed citations

Jha, C. S., et al.. (2018). Automatic Estimation of Tree Stem Attributes Using Terrestrial Laser Scanning in Central Indian Dry Deciduous Forests. Current Science. 114(1). 201–201. 14 indexed citations

Jha, C. S., et al.. (2018). Comparison of DEM generated from Cartosat-1 Stereo Pair with SRTM DEM: A case study of Betul (M.P), India. 68. 1–6. 1 indexed citations

Reddy, C. Sudhakar, S. Vazeed Pasha, K. V. Satish, et al.. (2017). Quantifying nationwide land cover and historical changes in forests of Nepal (1930–2014): implications on forest fragmentation. Biodiversity and Conservation. 27(1). 91–107. 45 indexed citations

Dadhwal, V. K., et al.. (2016). Geospatial Approach for National Level TOF Assessment Using IRS High Resolution Imaging: Early Results. Journal of the Indian Society of Remote Sensing. 44(3). 321–333. 5 indexed citations

Saranya, K. R. L., et al.. (2014). Decadal time-scale monitoring of forest fires in Similipal Biosphere Reserve, India using remote sensing and GIS. Environmental Monitoring and Assessment. 186(5). 3283–3296. 29 indexed citations

10.

Murthy, S. Srinivasa, et al.. (2003). Performance analysis of grid connected induction generators driven by hydro/wind turbines including grid abnormalities. 2045–2050. 8 indexed citations

11.

Badarinath, K. V. S., A. T. Jeyaseelan, C. S. Jha, Biswadip Gharai, & C. B. S. Dutt. (1995). AN ONSHORE GAS WELL BLOW-OUT AND ITS IMPACT OBSERVATIONS USING SATELLITE DATA. Current Science. 69(7). 604–607. 1 indexed citations

12.

Shridhar, L., Bhim Singh, C. S. Jha, B.P. Singh, & S. Srinivasa Murthy. (1995). Selection of capacitors for the self regulated short shunt self excited induction generator. IEEE Transactions on Energy Conversion. 10(1). 10–17. 100 indexed citations

13.

Jha, C. S., et al.. (1994). Digital change detection of forest conversion of a dry tropical Indian forest region. International Journal of Remote Sensing. 15(13). 2543–2552. 43 indexed citations

14.

Shridhar, L., Bhim Singh, & C. S. Jha. (1993). A step towards improvements in the characteristics of self excited induction generator. IEEE Transactions on Energy Conversion. 8(1). 40–46. 66 indexed citations

15.

Murthy, S. Srinivasa, et al.. (1990). Analysis of grid connected induction generators driven by hydro/wind turbines under realistic system constraints. IEEE Transactions on Energy Conversion. 5(1). 1–7. 41 indexed citations

16.

Murthy, S. Sreenivasa, et al.. (1984). A Novel Method of Multistage Dynamic Braking of Three-Phase Induction Motors. IEEE Transactions on Industry Applications. IA-20(2). 328–334. 31 indexed citations

17.

Tripathy, S. C., T. S. Bhatti, C. S. Jha, O.P. Malik, & G.S. Hope. (1984). Sampled Data Automatic Generation Control Analysis with Reheat Steam Turbines and Governor Dead-Band Effects. IEEE Power Engineering Review. PER-4(5). 40–40. 1 indexed citations

18.

Singh, Bhim, B.P. Singh, S. Srinivasa Murthy, & C. S. Jha. (1983). Experience in Design Optimization of Induction Motor Using 'SUMT' Algorithm. IEEE Power Engineering Review. PER-3(10). 34–34. 24 indexed citations

19.

Jha, C. S., et al.. (1979). Steady-State Investigations on a Multi-Phase Chopper-Motor System. IEEE Transactions on Power Apparatus and Systems. PAS-98(2). 379–386. 5 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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