Midhun Mohan

2.7k total citations · 1 hit paper
68 papers, 1.6k citations indexed

About

Midhun Mohan is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Midhun Mohan has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Environmental Engineering, 30 papers in Ecology and 29 papers in Global and Planetary Change. Recurrent topics in Midhun Mohan's work include Remote Sensing and LiDAR Applications (33 papers), Forest ecology and management (21 papers) and Forest Ecology and Biodiversity Studies (14 papers). Midhun Mohan is often cited by papers focused on Remote Sensing and LiDAR Applications (33 papers), Forest ecology and management (21 papers) and Forest Ecology and Biodiversity Studies (14 papers). Midhun Mohan collaborates with scholars based in United States, Brazil and Spain. Midhun Mohan's co-authors include Carlos Alberto Silva, Adrián Cardíl, Carine Klauberg, Andrew T. Hudak, Eben N. Broadbent, Wan Shafrina Wan Mohd Jaafar, Glenn P. Catts, Ana Paula Dalla Côrte, Mahendra Dia and Prahlad Jat and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Midhun Mohan

63 papers receiving 1.5k citations

Hit Papers

Individual Tree Detection from Unmanned Aerial Vehicle (U... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Midhun Mohan United States 21 1.1k 616 524 441 351 68 1.6k
Benjamin Brede Netherlands 16 1.1k 1.0× 609 1.0× 584 1.1× 284 0.6× 318 0.9× 33 1.3k
Francesca Giannetti Italy 24 990 0.9× 723 1.2× 556 1.1× 605 1.4× 306 0.9× 69 1.7k
Carine Klauberg United States 21 1.2k 1.1× 588 1.0× 690 1.3× 351 0.8× 421 1.2× 49 1.5k
Danilo Roberti Alves de Almeida Brazil 28 1.1k 1.0× 747 1.2× 820 1.6× 773 1.8× 382 1.1× 72 2.0k
Tristan R.H. Goodbody Canada 18 1.5k 1.4× 887 1.4× 731 1.4× 518 1.2× 464 1.3× 30 1.8k
Arne Nothdurft Austria 21 852 0.8× 339 0.6× 808 1.5× 388 0.9× 304 0.9× 62 1.4k
Sakari Tuominen Finland 25 1.6k 1.5× 1.1k 1.8× 817 1.6× 475 1.1× 424 1.2× 71 2.1k
Markus Holopainen Finland 20 1.4k 1.3× 631 1.0× 877 1.7× 284 0.6× 538 1.5× 47 1.6k
Rachel Gaulton United Kingdom 24 1.2k 1.1× 1.1k 1.7× 573 1.1× 549 1.2× 258 0.7× 49 1.9k
Stefano Puliti Norway 22 1.6k 1.5× 873 1.4× 567 1.1× 362 0.8× 479 1.4× 46 1.9k

Countries citing papers authored by Midhun Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Midhun Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Midhun Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Midhun Mohan. A scholar is included among the top collaborators of Midhun 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 Midhun Mohan. Midhun 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, Midhun, Emma Asbridge, Stacey M. Trevathan‐Tackett, et al.. (2025). Eco-friendly structures for sustainable mangrove restoration. The Science of The Total Environment. 978. 179393–179393. 2 indexed citations
2.
Abdullah, Meshal M., et al.. (2024). Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems. Journal of Arid Environments. 223. 105179–105179. 4 indexed citations
3.
Abdullah, Meshal M., et al.. (2024). Navigating water scarcity: rainfall considerations to optimize native vegetation growth in arid lands. Environment Development and Sustainability. 27(12). 29581–29601. 2 indexed citations
4.
Arachchige, Pavithra S. Pitumpe, M. Rondón, Michael S. Watt, et al.. (2024). Current status of mangrove conservation efforts in Qatar: A review. Regional Studies in Marine Science. 79. 103822–103822. 8 indexed citations
5.
Hendy, Ian, Michael S. Watt, Ruth Reef, et al.. (2024). Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States. Remote Sensing. 16(19). 3596–3596. 9 indexed citations
6.
Abdullah, Meshal M., Austin Blanton, Yassine Charabi, et al.. (2024). UAVs for improving seasonal vegetation assessment in arid environments. Frontiers in Environmental Science. 12. 4 indexed citations
8.
Saad, Siti Nor Maizah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, et al.. (2023). Modeling Carbon Emissions of Post-Selective Logging in the Production Forests of Ulu Jelai, Pahang, Malaysia. Remote Sensing. 15(4). 1016–1016. 4 indexed citations
9.
Kamarulzaman, Aisyah Marliza Muhmad, Wan Shafrina Wan Mohd Jaafar, Mohd Nizam Mohd Said, Siti Nor Maizah Saad, & Midhun Mohan. (2023). UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia. Remote Sensing. 15(11). 2845–2845. 31 indexed citations
11.
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
12.
Silva, Carlos Alberto, Andrew T. Hudak, Lee A. Vierling, et al.. (2022). treetop : A Shiny‐based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution. 13(6). 1164–1176. 19 indexed citations
13.
Côrte, Ana Paula Dalla, Franciel Eduardo Rex, Alexandre Behling, et al.. (2022). High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD). Drones. 6(2). 48–48. 17 indexed citations
14.
Kamarulzaman, Aisyah Marliza Muhmad, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, et al.. (2022). Integrated Segmentation Approach with Machine Learning Classifier in Detecting and Mapping Post Selective Logging Impacts Using UAV Imagery. Forests. 13(1). 48–48. 16 indexed citations
15.
Moura, Marks Melo, et al.. (2021). Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery. Remote Sensing. 13(13). 2627–2627. 29 indexed citations
16.
Jaafar, Wan Shafrina Wan Mohd, Khairul Nizam Abdul Maulud, Royston Uning, et al.. (2020). Carbon Emissions from Oil Palm Induced Forest and Peatland Conversion in Sabah and Sarawak, Malaysia. Forests. 11(12). 1285–1285. 27 indexed citations
18.
Leite, Rodrigo Vieira, Carlos Alberto Silva, Midhun Mohan, et al.. (2020). Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models. Remote Sensing. 12(21). 3599–3599. 32 indexed citations
19.
Jaafar, Wan Shafrina Wan Mohd, Iain Woodhouse, Carlos Alberto Silva, et al.. (2018). Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data. Forests. 9(12). 759–759. 58 indexed citations
20.
Silva, Carlos Alberto, Carine Klauberg, Andrew T. Hudak, et al.. (2017). Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forests. 8(7). 254–254. 45 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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