Gen Takao

479 total citations
27 papers, 381 citations indexed

About

Gen Takao is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Gen Takao has authored 27 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 15 papers in Ecology and 14 papers in Nature and Landscape Conservation. Recurrent topics in Gen Takao's work include Remote Sensing and LiDAR Applications (17 papers), Remote Sensing in Agriculture (13 papers) and Forest ecology and management (13 papers). Gen Takao is often cited by papers focused on Remote Sensing and LiDAR Applications (17 papers), Remote Sensing in Agriculture (13 papers) and Forest ecology and management (13 papers). Gen Takao collaborates with scholars based in Japan, Malaysia and United Kingdom. Gen Takao's 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 and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Forest Ecology and Management.

In The Last Decade

Gen Takao

23 papers receiving 362 citations

Peers

Gen Takao

ECOLO

NLC

GPC

Reik Leiterer Switzerland

Petra Adler Germany

Russell Turner Australia

Keiko Ioki Japan

Daniel de Almeida Papa Brazil

Nicolò Camarretta Germany

Katsuto Shimizu Japan

M. Schardt Austria

Olga Brovkina Czechia

Radomir Bałazy Poland

Reik Leiterer Switzerland

Gen Takao

320 ×1.3

260 ×1.1

ECOLO

182 ×1.2

NLC

118 ×1.1

GPC

72 ×1.1

Citations per year, relative to Gen Takao Gen Takao (= 1×) peers Reik Leiterer

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

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20 of 20 papers shown

Hayashi, Masato, et al.. (2021). Advancement of Logging Detection Methodology Using ALOS-2/PALSAR-2 Data for Forest Cloud System. Journal of the Japanese Forest Society. 103(3). 215–223.

Phua, Mui‐How, David A. Coomes, Satoshi Tsuyuki, et al.. (2017). Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery. iForest - Biogeosciences and Forestry. 10(3). 625–634. 6 indexed citations

Tsuyuki, Satoshi, et al.. (2016). Performance of a photogrammetric digital elevation model in a tropical montane forest environment. Journal of Forest Planning. 21(2). 39–52. 2 indexed citations

Ota, Tetsuji, Tsuyoshi Kajisa, Nobuya Mizoue, et al.. (2015). Estimating aboveground carbon using airborne LiDAR in Cambodian tropical seasonal forests for REDD+ implementation. Journal of Forest Research. 20(6). 484–492. 14 indexed citations

Ota, Tetsuji, Katsuto Shimizu, Tsuyoshi Kajisa, et al.. (2015). Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest. Forests. 6(11). 3882–3898. 94 indexed citations

Hayashi, Masato, Nobuko Saigusa, Hiroyuki Oguma, Yoshiki Yamagata, & Gen Takao. (2014). Quantitative assessment of the impact of typhoon disturbance on a Japanese forest using satellite laser altimetry. Remote Sensing of Environment. 156. 216–225. 21 indexed citations

Ioki, Keiko, Satoshi Tsuyuki, Yasumasa Hirata, et al.. (2014). Estimating above-ground biomass of tropical rainforest of different degradation levels in Northern Borneo using airborne LiDAR. Forest Ecology and Management. 328. 335–341. 60 indexed citations

Shimizu, Katsuto, Tetsuji Ota, Tsuyoshi Kajisa, et al.. (2014). Estimation of Aboveground Biomass Using Manual Stereo Viewing of Digital Aerial Photographs in Tropical Seasonal Forest. Land. 3(4). 1270–1283. 3 indexed citations

Abe, Shinichi, Shigeo Kuramoto, Shigeo Iida, et al.. (2013). Early Responses of Floor Vegetation to the Selection Cutting in a Mixed Forest in Hokkaido, Northern Japan. Journal of the Japanese Forest Society. 95(2). 101–108.

10.

Hayashi, Masato, Nobuko Saigusa, Hiroyuki Oguma, et al.. (2012). Measuring forest canopy height using ICESat/GLAS data for applying to Japanese spaceborne lidar mission. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8526. 85260M–85260M.

11.

Takao, Gen, et al.. (2011). Long-term Dynamics of Stand Structure and Growth of Mixed Coniferous/Broad-leaved Forests in Northern Japan.. Journal of the Japanese Forest Society. 93(2). 64–72. 1 indexed citations

12.

Takao, Gen, et al.. (2010). The operational role of remote sensing in forest and landscape management: Focus group discussion proceedings. Center for International Forestry Research (CIFOR) eBooks. 3 indexed citations

13.

Kushida, Keiji, А. П. Исаев, Gen Takao, Trofim C. Maximov, & Masami Fukuda. (2007). Remote Sensing of Total and Surface Burn Ratios Following a Wildfire in East Siberia Using 30m-1 ㎞ Resolution Images. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 10(1). 105–114. 2 indexed citations

14.

Hatano, Ryusuke, Fumiaki Takakai, Tomoaki Morishita, Gen Takao, & Roman Desyatkin. (2006). Contribution of forest fire and land covers to emissions of CO2, CH4 and N2O in Central Yakutia. 2 indexed citations

15.

Ozaki, Kenichi, et al.. (2005). LANDSCAPE ANALYSIS OF NORTHERN GOSHAWK BREEDING HOME RANGE IN NORTHERN JAPAN. Journal of Wildlife Management. 69(3). 1229–1239. 22 indexed citations

16.

Awaya, Y., et al.. (2004). Potential of Woody Carbon Stock Estimation Using High Spatial Resolution Imagery: A Case Study of Spruce Stands. 1 indexed citations

17.

Takao, Gen, et al.. (2003). An analysis of the forest edge environment preferred by goshawks in Ishikari Plain, Japan. Medical Entomology and Zoology. 51. 86–88. 1 indexed citations

18.

Takao, Gen. (2003). Indices from snow-covered Landsat imagery for boreal forest change detection.. Journal of the Japan society of photogrammetry and remote sensing. 42(6). 52–66. 3 indexed citations

19.

Ozaki, Kenichi, et al.. (2003). Simultaneous outbreaks of three species of larch web-spinning sawflies: influences of weather and stand structure. Forest Ecology and Management. 187(1). 75–84. 7 indexed citations

20.

Kennedy, Robert E., Warren B. Cohen, & Gen Takao. (1997). Empirical methods to compensate for a view-angle-dependent brightness gradient in AVIRIS imagery. Remote Sensing of Environment. 62(3). 277–291. 62 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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