Sandeep Maithani

1.3k total citations
38 papers, 778 citations indexed

About

Sandeep Maithani is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Sandeep Maithani has authored 38 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 14 papers in Environmental Engineering. Recurrent topics in Sandeep Maithani's work include Land Use and Ecosystem Services (17 papers), Remote Sensing and Land Use (15 papers) and Remote-Sensing Image Classification (10 papers). Sandeep Maithani is often cited by papers focused on Land Use and Ecosystem Services (17 papers), Remote Sensing and Land Use (15 papers) and Remote-Sensing Image Classification (10 papers). Sandeep Maithani collaborates with scholars based in India and Germany. Sandeep Maithani's co-authors include Arijit Roy, Kshama Gupta, Archana Sharma, Pramod Kumar, Asfa Siddiqui, S. K. Srivastav, Ashutosh Kumar Jha, Anil Kumar, Shashi Kumar and Akshar Tripathi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Sandeep Maithani

35 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Maithani India 13 579 284 268 180 131 38 778
Shisong Cao China 19 435 0.8× 240 0.8× 385 1.4× 175 1.0× 77 0.6× 48 777
Andong Guo China 12 571 1.0× 396 1.4× 617 2.3× 240 1.3× 84 0.6× 15 1.0k
Jorge E. Patiño Colombia 13 499 0.9× 156 0.5× 133 0.5× 130 0.7× 100 0.8× 27 828
Kai Yin China 13 370 0.6× 114 0.4× 201 0.8× 134 0.7× 132 1.0× 22 533
Milap Punia India 15 515 0.9× 203 0.7× 298 1.1× 149 0.8× 161 1.2× 39 763
Maher Milad Aburas Malaysia 11 646 1.1× 107 0.4× 158 0.6× 162 0.9× 205 1.6× 15 833
Guoyin Cai China 12 337 0.6× 138 0.5× 182 0.7× 128 0.7× 56 0.4× 44 528
Huyan Fu China 12 370 0.6× 148 0.5× 390 1.5× 207 1.1× 82 0.6× 21 650
Yaolong Zhao China 17 705 1.2× 119 0.4× 364 1.4× 194 1.1× 172 1.3× 47 891
Yanqing Liang China 3 466 0.8× 94 0.3× 100 0.4× 184 1.0× 115 0.9× 6 588

Countries citing papers authored by Sandeep Maithani

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Maithani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Maithani

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Maithani. A scholar is included among the top collaborators of Sandeep Maithani 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 Sandeep Maithani. Sandeep Maithani 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.
Kumar, Anil, et al.. (2024). Fuzzy machine learning model to detect transition building footprints using multi-sensor multi-temporal images. Remote Sensing Applications Society and Environment. 34. 101173–101173. 1 indexed citations
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Maithani, Sandeep, et al.. (2024). Exploring effect of scale dependency in LST downscaling – using convolution neural network-extreme learning machine (CNN-ELM). Earth Science Informatics. 17(2). 1093–1104. 2 indexed citations
5.
Chandrasekaran, S., et al.. (2024). Probabilistic seismic hazard analysis of the Coimbatore region, Tamil Nadu using a logic-tree approach. Journal of Earth System Science. 133(3).
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Sharma, Surendra Kumar, et al.. (2023). OBJECT BASED APPROACH FOR IMAGE FEATURE EXTRACTION FROM UAV DATA. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 1907–1913. 1 indexed citations
8.
Tiwari, P. C., et al.. (2023). Analysis of the Spatial Patterns of Urban Growth in Rudrapur City. 12(2). 1–6. 1 indexed citations
9.
Maithani, Sandeep, et al.. (2023). Simulation of DEM Based on ICESat-2 Data Using Openly Accessible Topographic Datasets. SHILAP Revista de lepidopterología. 66–66. 1 indexed citations
10.
Maithani, Sandeep, et al.. (2022). Simulation of Land Surface Temperature Patterns Over Future Urban Areas—A Machine Learning Approach. Journal of the Indian Society of Remote Sensing. 50(11). 2145–2162. 12 indexed citations
11.
Maithani, Sandeep, et al.. (2022). A Deep Neural Network-Based Approach for Studying the Relationship Between Land Surface Temperature and Surface Air Temperature. Journal of the Indian Society of Remote Sensing. 50(3). 563–568. 6 indexed citations
12.
Maithani, Sandeep & Surendra Kumar Sharma. (2022). Trend Analysis of Nitrogen dioxide (NO2) in Northern Part of India During Paddy Residue Burning Using a Contextual Approach. Journal of the Indian Society of Remote Sensing. 51(1). 61–73. 2 indexed citations
13.
Siddiqui, Asfa, et al.. (2021). Spatio-Temporal Variations in Night Lights, Economy and Night Light Emissions in States of India. Journal of the Indian Society of Remote Sensing. 49(12). 2933–2943. 7 indexed citations
14.
Maithani, Sandeep, et al.. (2021). Exploring the Relationship Between Spatio-temporal Land Cover Dynamics and Surface Temperature Over Dehradun Urban Agglomeration, India. Journal of the Indian Society of Remote Sensing. 49(6). 1307–1318. 11 indexed citations
15.
Siddiqui, Asfa, et al.. (2020). Hyperspectral and multispectral data fusion using fast discrete curvelet transform for urban surface material characterization. Geocarto International. 37(7). 2018–2030. 4 indexed citations
16.
Maithani, Sandeep, et al.. (2020). Study of Urban Growth Dynamics Using Global Human Settlement Layer Data Set: Uttarakhand, India. Journal of the Indian Society of Remote Sensing. 48(5). 817–827. 8 indexed citations
17.
Maithani, Sandeep, et al.. (2020). Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India. Journal of the Indian Society of Remote Sensing. 48(9). 1297–1311. 48 indexed citations
18.
Maithani, Sandeep. (2020). A Quantitative Spatial Model of Urban Sprawl and its Application to Dehradun Urban Agglomeration, India. Journal of the Indian Society of Remote Sensing. 48(11). 1583–1592. 14 indexed citations
19.
Tripathi, Akshar, Sandeep Maithani, & Shashi Kumar. (2018). X-band persistent SAR interferometry for surface subsidence detection in Rudrapur City, India. 28–28. 11 indexed citations
20.
Siddiqui, Asfa, et al.. (2017). Urban growth dynamics of an Indian metropolitan using CA Markov and Logistic Regression. The Egyptian Journal of Remote Sensing and Space Science. 21(3). 229–236. 111 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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