Anshuman Bhardwaj

2.9k total citations · 1 hit paper
80 papers, 1.8k citations indexed

About

Anshuman Bhardwaj is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Global and Planetary Change. According to data from OpenAlex, Anshuman Bhardwaj has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atmospheric Science, 22 papers in Astronomy and Astrophysics and 13 papers in Global and Planetary Change. Recurrent topics in Anshuman Bhardwaj's work include Cryospheric studies and observations (37 papers), Climate change and permafrost (27 papers) and Planetary Science and Exploration (18 papers). Anshuman Bhardwaj is often cited by papers focused on Cryospheric studies and observations (37 papers), Climate change and permafrost (27 papers) and Planetary Science and Exploration (18 papers). Anshuman Bhardwaj collaborates with scholars based in India, United Kingdom and Sweden. Anshuman Bhardwaj's co-authors include Lydia Sam, Rajesh Kumar, Javier Martín‐Torres, Shaktiman Singh, Akanksha Akanksha, Snehmani, Mritunjay Kumar Singh, Atar Singh, María‐Paz Zorzano and R. D. Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Anshuman Bhardwaj

73 papers receiving 1.8k citations

Hit Papers

UAVs as remote sensing platform in glaciology: Present ap... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anshuman Bhardwaj India 23 982 351 316 292 203 80 1.8k
Lydia Sam United Kingdom 19 643 0.7× 170 0.5× 190 0.6× 169 0.6× 78 0.4× 48 1.2k
D. W. Hancock United States 17 1.1k 1.1× 521 1.5× 723 2.3× 146 0.5× 128 0.6× 42 2.3k
Franz J. Meyer United States 29 1.1k 1.1× 371 1.1× 462 1.5× 184 0.6× 97 0.5× 167 2.8k
Bernhard Rabus Canada 21 1.2k 1.2× 459 1.3× 633 2.0× 531 1.8× 248 1.2× 71 2.4k
Simon Loew Switzerland 34 1.2k 1.2× 301 0.9× 543 1.7× 2.2k 7.4× 54 0.3× 139 3.7k
Igor V. Florinsky Russia 21 362 0.4× 310 0.9× 975 3.1× 400 1.4× 314 1.5× 72 1.9k
Paola Rizzoli Germany 22 1.3k 1.4× 332 0.9× 715 2.3× 392 1.3× 80 0.4× 123 2.6k
Yves Bühler Switzerland 29 2.1k 2.1× 764 2.2× 408 1.3× 1.5k 5.3× 151 0.7× 125 2.6k
Xiaobing Zhou United States 26 965 1.0× 927 2.6× 616 1.9× 134 0.5× 297 1.5× 119 2.2k
Michele Martone Germany 16 774 0.8× 194 0.6× 633 2.0× 278 1.0× 76 0.4× 86 1.6k

Countries citing papers authored by Anshuman Bhardwaj

Since Specialization
Citations

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

Fields of papers citing papers by Anshuman Bhardwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anshuman Bhardwaj

This figure shows the co-authorship network connecting the top 25 collaborators of Anshuman Bhardwaj. A scholar is included among the top collaborators of Anshuman Bhardwaj 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 Anshuman Bhardwaj. Anshuman Bhardwaj 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.
Bhardwaj, Anshuman, et al.. (2025). A novel multi-scale deep learning framework for adaptive urban expansion simulation. Sustainable Cities and Society. 130. 106594–106594. 2 indexed citations
2.
Bhardwaj, Anshuman, et al.. (2025). Comparative analysis of different machine learning algorithms for urban footprint extraction in diverse urban contexts using high-resolution remote sensing imagery. Journal of Geographical Sciences. 35(3). 664–696. 2 indexed citations
3.
Sam, Lydia, et al.. (2025). SAGRNet: A novel object-based graph convolutional neural network for diverse vegetation cover classification in remotely-sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 99–124.
5.
Bhardwaj, Anshuman, et al.. (2024). A novel automated labelling algorithm for deep learning-based built-up areas extraction using nighttime lighting data. Knowledge-Based Systems. 306. 112702–112702. 4 indexed citations
6.
Azam, Mohd Farooq, Anshuman Bhardwaj, Arindan Mandal, et al.. (2024). Glacier area change (1993–2019) and its relationship to debris cover, proglacial lakes, and morphological parameters in the Chandra-Bhaga Basin, Western Himalaya, India. Journal of Mountain Science. 21(4). 1287–1306. 2 indexed citations
7.
Soheb, Mohd, AL. Ramanathan, Anshuman Bhardwaj, et al.. (2022). Multitemporal glacier inventory revealing four decades of glacier changes in the Ladakh region. Earth system science data. 14(9). 4171–4185. 18 indexed citations
9.
Martín‐Torres, Javier, et al.. (2021). Brine-Induced Tribocorrosion Accelerates Wear on Stainless Steel: Implications for Mars Exploration. Advances in Astronomy. 2021. 1–11. 1 indexed citations
10.
Khan, M.A., Shaktiman Singh, Pratima Pandey, et al.. (2021). Modelling Permafrost Distribution in Western Himalaya Using Remote Sensing and Field Observations. Remote Sensing. 13(21). 4403–4403. 21 indexed citations
11.
Sam, Lydia, et al.. (2020). Small Lava Caves as Possible Exploratory Targets on Mars: Analogies Drawn from UAV Imaging of an Icelandic Lava Field. Remote Sensing. 12(12). 1970–1970. 8 indexed citations
12.
Sarbadhikari, A. Basu, Y. Srivastava, Megha Bhatt, et al.. (2020). Significance of the Presence of Deep Crustal Na-Rich Rocks of the Moon. Lunar and Planetary Science Conference. 1893. 1 indexed citations
13.
Singh, Shaktiman, Anshuman Bhardwaj, Atar Singh, et al.. (2019). Quantifying the Congruence between Air and Land Surface Temperatures for Various Climatic and Elevation Zones of Western Himalaya. Remote Sensing. 11(24). 2889–2889. 15 indexed citations
14.
Rosenqvist, J., et al.. (2018). Platform for Conducting Experiments to Study the Long-Term Exposure Effects of Spacecraft Coating, Materials, and Components in a Deep-Space Environment. 2063. 3067.
15.
Mandal, Uttam Kumar, et al.. (2018). Trend of sea-level-rise in West Bengal coast.. 36(2). 64–73. 5 indexed citations
16.
Sam, Lydia, Anshuman Bhardwaj, Rajesh Kumar, Manfred F. Buchroithner, & Javier Martín‐Torres. (2018). Heterogeneity in topographic control on velocities of Western Himalayan glaciers. Scientific Reports. 8(1). 12843–12843. 42 indexed citations
17.
Shekhar, Mayank, Anshuman Bhardwaj, Shaktiman Singh, et al.. (2017). Himalayan glaciers experienced significant mass loss during later phases of little ice age. Scientific Reports. 7(1). 10305–10305. 65 indexed citations
18.
Bhardwaj, Anshuman, Shaktiman Singh, Lydia Sam, et al.. (2016). MODIS-based estimates of strong snow surface temperature anomaly related to high altitude earthquakes of 2015. Remote Sensing of Environment. 188. 1–8. 27 indexed citations
19.
Ali, Sheikh Nawaz, Mayank Shekhar, Pratima Pandey, Anshuman Bhardwaj, & Shaktiman Singh. (2014). Indian Himalayan Capacity and Adaptation Programme: Capacity-Building in Himalayan Glaciology. Current Science. 106(3). 346–346. 1 indexed citations
20.
Bhardwaj, Anshuman, et al.. (2001). Optical Emissions from the Atmosphere of Io due to Flux Tube Electron Interaction. DPS. 33. 1 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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