Midhun Mohan

63 papers receiving 1.5k citations

Midhun Mohan's Hit Papers

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest 2017 · 313 citations
3130+3+6Years since publication100200300

Peers

Midhun Mohan
Comparison fields: 5 of 92
  • Environmental Engineering 1.1k
  • Nature and Landscape Conservation 524
  • Geology 219
  • Insect Science 351
  • Ecology 616
Replace Carine Klauberg with:
Carine Klauberg United States
Ninni Saarinen Finland
Juan Carlos Pinilla Suárez United Kingdom
Benjamin Brede Netherlands
Francesca Giannetti Italy
Mika Karjalainen Finland
Arne Nothdurft Austria
Jan van Aardt United States
Stefano Puliti Norway
Eric Bastos Görgens Brazil
Midhun Mohan relative to Carine Klauberg United States Carine Klauberg's profile →
Citations per field
00.5×1.5×2.4×
Carine Klauberg · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Midhun Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Midhun Mohan Line = papers co-authored together Midhun Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
Hit paper breakdown →
2017313
2 2020146
3 202197
4 202092
5 201968
6 201858
7 202146
8 201745
9 201839
10 201938
11 202036
12 202032
13 202032
14 202331
15 202030
16 202129
17 202027
18 202226
19 202124
20 202323

About Midhun Mohan

Midhun Mohan is a scholar working on Environmental Engineering, Ecology, Global and Planetary Change, Nature and Landscape Conservation and Insect Science, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (33 papers), Forest ecology and management (21 papers), Forest Ecology and Biodiversity Studies (14 papers), Remote Sensing in Agriculture (11 papers), Coastal wetland ecosystem dynamics (10 papers), Land Use and Ecosystem Services (7 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Fire effects on ecosystems (6 papers). The work is most often cited by research in Environmental Engineering (1.1k citations), Nature and Landscape Conservation (524 citations), Geology (219 citations), Insect Science (351 citations) and Ecology (616 citations). Midhun Mohan has collaborated with scholars based in United States, Brazil and Spain. Frequent 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. Their work appears in journals such as Remote Sensing, Forests, Journal of Environmental Management, Methods in Ecology and Evolution and Journal of Arid Environments.

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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