Shaurya Bajaj

414 total citations
9 papers, 229 citations indexed

About

Shaurya Bajaj is a scholar working on Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Shaurya Bajaj has authored 9 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 4 papers in Global and Planetary Change and 3 papers in Nature and Landscape Conservation. Recurrent topics in Shaurya Bajaj's work include Remote Sensing and LiDAR Applications (5 papers), Forest ecology and management (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Shaurya Bajaj is often cited by papers focused on Remote Sensing and LiDAR Applications (5 papers), Forest ecology and management (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Shaurya Bajaj collaborates with scholars based in United States, Spain and Malaysia. Shaurya Bajaj's co-authors include Midhun Mohan, Adrián Cardíl, Willie Doaemo, Rodrigo Vieira Leite, Eben N. Broadbent, Ana Paula Dalla Côrte, Wan Shafrina Wan Mohd Jaafar, Sergio de‐Miguel, G. A. Pabodha Galgamuwa and Pavithra S. Pitumpe Arachchige and has published in prestigious journals such as Journal of Environmental Management, Remote Sensing and Heliyon.

In The Last Decade

Shaurya Bajaj

9 papers receiving 217 citations

Peers

Shaurya Bajaj

EE

ECOLO

GPC

NLC

GEOLO

Willie Doaemo Papua New Guinea

Siti Nor Maizah Saad Malaysia

Aisyah Marliza Muhmad Kamarulzaman Malaysia

Yuanping Xia China

Paolo Zatelli Italy

Leonhard Blesius United States

Markéta Potůčková Czechia

Milutin Milenković Austria

Xuejun Ouyang China

Anton Kunneke South Africa

Willie Doaemo Papua New Guinea

Shaurya Bajaj

85 ×0.8

EE

87 ×1.0

ECOLO

70 ×1.1

GPC

31 ×0.9

NLC

25 ×0.9

GEOLO

Citations per year, relative to Shaurya Bajaj Shaurya Bajaj (= 1×) peers Willie Doaemo

Countries citing papers authored by Shaurya Bajaj

Since Specialization

Citations

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

Fields of papers citing papers by Shaurya Bajaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaurya Bajaj

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

All Works

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9 of 9 papers shown

1.

Bajaj, Shaurya, Shruthi Srinivasan, Sergio de‐Miguel, et al.. (2023). Influence of urban forests on residential property values: A systematic review of remote sensing-based studies. Heliyon. 9(10). e20408–e20408. 9 indexed citations

2.

Ramachandran, V., Wan Shafrina Wan Mohd Jaafar, Shaurya Bajaj, et al.. (2023). UAVs for monitoring responses of regenerating forests under increasing climate change-driven droughts - a review. IOP Conference Series Earth and Environmental Science. 1167(1). 12030–12030. 3 indexed citations

3.

Jaafar, Wan Shafrina Wan Mohd, Hamdan Omar, Shaurya Bajaj, et al.. (2022). Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR. Remote Sensing. 14(13). 3172–3172. 26 indexed citations

4.

Mohan, Midhun, Shaurya Bajaj, G. A. Pabodha Galgamuwa, et al.. (2021). Afforestation, reforestation and new challenges from COVID-19: Thirty-three recommendations to support civil society organizations (CSOs). Journal of Environmental Management. 287. 112277–112277. 21 indexed citations

5.

Mohan, Midhun, Rodrigo Vieira Leite, Eben N. Broadbent, et al.. (2021). Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners. Open Geosciences. 13(1). 1028–1039. 46 indexed citations

6.

Mohan, Midhun, Shaurya Bajaj, G. A. Pabodha Galgamuwa, et al.. (2021). UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications. Remote Sensing. 13(13). 2596–2596. 97 indexed citations

7.

Jaafar, Wan Shafrina Wan Mohd, Shaurya Bajaj, Hamdan Omar, et al.. (2021). Analyzing canopy height variations in secondary tropical forests of Malaysia using NASA GEDI. IOP Conference Series Earth and Environmental Science. 880(1). 12031–12031. 4 indexed citations

8.

Doaemo, Willie, et al.. (2020). Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea. Hydrology. 7(4). 77–77. 4 indexed citations

9.

Lavanya, K., et al.. (2017). Handwritten digit recognition using hoeffding tree, decision tree and random forests — A comparative approach. 1–6. 19 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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