Gen Takao

479 citations
27 papers · 381 indexed · h-index 10
Topics
Remote Sensing and LiDAR Applications (17 papers)Remote Sensing in Agriculture (13 papers)Forest ecology and management (13 papers)

In The Last Decade

Gen Takao

23 papers receiving 362 citations

Peers

Gen Takao
Comparison fields: 5 of 46
  • Environmental Engineering 255
  • Ecology 233
  • Nature and Landscape Conservation 146
  • Global and Planetary Change 106
  • Insect Science 66
Replace Daniel de Almeida Papa with:
Daniel de Almeida Papa Brazil
Keiko Ioki Japan
M. Schardt Austria
Russell Turner Australia
Reik Leiterer Switzerland
Katsuto Shimizu Japan
Petra Adler Germany
Nicolò Camarretta Germany
Doo-Ahn Kwak South Korea
Olga Brovkina Czechia
Gen Takao relative to Daniel de Almeida Papa Brazil Daniel de Almeida Papa's profile →
Citations per field
00.5×10×20×33×
Daniel de Almeida Papa · 1×
Citations per year

Countries citing papers authored by Gen Takao

Since Specialization
Citations

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

Fields of papers citing papers by Gen Takao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Takao

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Takao. A scholar is included among the top collaborators of Gen Takao 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 Gen Takao. Gen Takao 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
#WorkIndexed citations
1 0
2 6
3 2
4 14
5 94
6 21
7 60
8 3
9 0
10 0
11 1
12 3
13
Remote Sensing of Total and Surface Burn Ratios Following a Wildfire in East Siberia Using 30m-1 ㎞ Resolution Images
2
14
Contribution of forest fire and land covers to emissions of CO2, CH4 and N2O in Central Yakutia
2
15 22
16
Potential of Woody Carbon Stock Estimation Using High Spatial Resolution Imagery: A Case Study of Spruce Stands
1
17
An analysis of the forest edge environment preferred by goshawks in Ishikari Plain, Japan
1
18 3
19 7
20 62

About Gen Takao

Gen Takao is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology, having authored 27 papers that have together received 381 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (17 papers), Remote Sensing in Agriculture (13 papers) and Forest ecology and management (13 papers). The work is most often cited by research in Environmental Engineering (255 citations), Nature and Landscape Conservation (146 citations) and Ecology (233 citations). Gen Takao has collaborated with scholars based in Japan, Malaysia and United Kingdom. Frequent co-authors include Robert E. Kennedy, Warren B. Cohen, Yasumasa Hirata, Hideki Saito, Satoshi Tsuyuki, Keiko Ioki, Mui‐How Phua, Heng Sokh, Shigejiro Yoshida and Tsuyoshi Kajisa. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Forest Ecology and Management.

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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