Shiv Mohan

492 total citations
38 papers, 365 citations indexed

About

Shiv Mohan is a scholar working on Environmental Engineering, Aerospace Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Shiv Mohan has authored 38 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 18 papers in Aerospace Engineering and 9 papers in Astronomy and Astrophysics. Recurrent topics in Shiv Mohan's work include Synthetic Aperture Radar (SAR) Applications and Techniques (16 papers), Soil Moisture and Remote Sensing (13 papers) and Planetary Science and Exploration (9 papers). Shiv Mohan is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (16 papers), Soil Moisture and Remote Sensing (13 papers) and Planetary Science and Exploration (9 papers). Shiv Mohan collaborates with scholars based in India, United States and France. Shiv Mohan's co-authors include Anup Das, Mahendra Singh Nathawat, Manab Chakraborty, Dipanwita Haldar, L. K. Sharma, Suman Sinha, C. Jeganathan, Ritesh Agrawal, Y. S. Rao and R. S. Hooda and has published in prestigious journals such as International Journal of Remote Sensing, Remote Sensing and Planetary and Space Science.

In The Last Decade

Shiv Mohan

35 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Mohan India 12 169 153 130 79 75 38 365
Shefali Agrawal India 10 124 0.7× 107 0.7× 112 0.9× 52 0.7× 60 0.8× 36 344
Kazuo Isono Japan 5 275 1.6× 273 1.8× 156 1.2× 37 0.5× 83 1.1× 8 501
Claudia Pipitone Italy 9 104 0.6× 101 0.7× 110 0.8× 30 0.4× 43 0.6× 16 379
Wenxue Fu China 12 173 1.0× 109 0.7× 132 1.0× 22 0.3× 148 2.0× 33 535
L. Bourg France 10 99 0.6× 110 0.7× 202 1.6× 75 0.9× 211 2.8× 27 534
Shannon Franks United States 10 151 0.9× 60 0.4× 271 2.1× 79 1.0× 124 1.7× 22 485
Francesca Fratarcangeli Italy 12 110 0.7× 187 1.2× 46 0.4× 35 0.4× 46 0.6× 25 341
Ron Morfitt United States 8 129 0.8× 149 1.0× 200 1.5× 87 1.1× 144 1.9× 20 481
Karlis Zalite Estonia 10 230 1.4× 172 1.1× 172 1.3× 30 0.4× 105 1.4× 14 441
Esad Micijevic United States 9 88 0.5× 241 1.6× 137 1.1× 55 0.7× 201 2.7× 46 471

Countries citing papers authored by Shiv Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Mohan. A scholar is included among the top collaborators of Shiv Mohan 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 Shiv Mohan. Shiv Mohan 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.
Mohan, Shiv, et al.. (2024). Detection of Water Ice in Faustini Crater Floor Using DFSAR. 6096–6099.
2.
Singh, Chandra Prakash, et al.. (2021). Applicability of Smoothing Techniques in Generation of Phenological Metrics of Tectona grandis L. Using NDVI Time Series Data. Remote Sensing. 13(17). 3343–3343. 10 indexed citations
3.
Mohan, Shiv, et al.. (2020). Synergetic Use of Morphological and Radar Parameter for Lunar Water Ice Detection. 730–733. 1 indexed citations
4.
Sharma, Amit Kumar, Laurence Hubert‐Moy, M. Sekhar, et al.. (2019). Evaluation of Radarsat-2 quad-pol SAR time-series images for monitoring groundwater irrigation. International Journal of Digital Earth. 12(10). 1177–1197. 7 indexed citations
5.
Sinha, Suman, Abhisek Santra, Anup Das, et al.. (2019). Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock. Journal of the Indian Society of Remote Sensing. 47(9). 1599–1608. 9 indexed citations
6.
Sinha, Suman, C. Jeganathan, L. K. Sharma, et al.. (2016). Developing synergy regression models with space-borne ALOS PALSAR and Landsat TM sensors for retrieving tropical forest biomass. Journal of Earth System Science. 125(4). 725–735. 27 indexed citations
7.
Rathore, Virendra Singh, et al.. (2016). Combining ALOS PALSAR and AVNIR-2 data for effective land use/land cover classification in Jharia coalfields region. International Journal of Image and Data Fusion. 8(2). 130–147. 9 indexed citations
8.
Haldar, Dipanwita, et al.. (2015). Temporal Monitoring of SAR Polarimetric Parameters and Scattering Mechanism for Major Kharif Crops and Surrounding Land Use. International Journal of Scientific Research in Science Engineering and Technology. 1(4). 416–424. 4 indexed citations
9.
Sinha, Suman, L. K. Sharma, C. Jeganathan, et al.. (2015). EFFICACY OF INSAR COHERENCE IN TROPICAL FOREST REMOTE SENSING IN CONTEXT OF REDD. 2 indexed citations
10.
Mohan, Shiv, et al.. (2014). Lunar Crater Ejecta Distribution and Characterization Using Mini-RF and LROC-WAC Data. Current Science. 107(5). 824–831. 1 indexed citations
11.
Das, Alok, et al.. (2012). Scattering Properties of Jackson Crater in the Lunar Far Side. Lunar and Planetary Science Conference. 1234. 1 indexed citations
12.
Haldar, Dipanwita, et al.. (2012). JUTE AND TEA DISCRIMINATION THROUGH FUSION OF SAR AND OPTICAL DATA. Progress In Electromagnetics Research B. 39. 337–354. 13 indexed citations
13.
Singh, Dharmendra, Rıshı Prakash, Nagendra Prasad Pathak, Shiv Mohan, & K. P. Singh. (2011). SAR and optical data utilization for soil moisture retrieval in vegetated region. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 2 indexed citations
14.
Mohan, Shiv, et al.. (2011). Monitoring and retrieval of vegetation parameter using multi-frequency polarimetric SAR data. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 9 indexed citations
15.
Nathawat, Mahendra Singh, et al.. (2011). Accuracy assessment of DEMs derived from multi-frequency SAR images. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 3 indexed citations
16.
Haldar, Dipanwita, Anup Das, Shiv Mohan, et al.. (2011). ASSESSMENT OF L-BAND SAR DATA AT DIFFERENT POLARIZATION COMBINATIONS FOR CROP AND OTHER LANDUSE CLASSIFICATION. Progress In Electromagnetics Research B. 36. 303–321. 43 indexed citations
17.
Mohan, Shiv, et al.. (2008). Estimation of forest biophysical variables from Indian Earth Observation Satellite Cartosat‐1 stereo data. International Journal of Remote Sensing. 30(2). 451–461. 4 indexed citations
18.
Srivastava, Aruna, et al.. (2004). Malaria epidemicity of Mewat region, District Gurgaon, Haryana, India: a GIS-based study. Current Science. 86(9). 1297–1303. 11 indexed citations
19.
Mohan, Shiv, et al.. (1988). Combined Radar and Landsat data analysis for land use/cover studies over parts of the Punjab plains. Journal of the Indian Society of Remote Sensing. 16(4). 33–36. 3 indexed citations
20.
Mohan, Shiv. (1986). An approach for the relative calibration of radar imagery. International Journal of Remote Sensing. 7(4). 589–595. 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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