Gen Takao

47 total papers · 476 total citations
27 papers, 380 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 380 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), Forest ecology and management (13 papers) and Remote Sensing in Agriculture (13 papers). Gen Takao is often cited by papers focused on Remote Sensing and LiDAR Applications (17 papers), Forest ecology and management (13 papers) and Remote Sensing in Agriculture (13 papers). Gen Takao collaborates with scholars based in Japan, Malaysia and United Kingdom. Gen Takao's co-authors include Warren B. Cohen, Robert E. Kennedy, Yasumasa Hirata, Hideki Saito, Satoshi Tsuyuki, Mui‐How Phua, Keiko Ioki, Nobuya Mizoue, Tsuyoshi Kajisa and Tetsuji Ota 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 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gen Takao 254 232 146 106 66 27 380
Reik Leiterer 316 1.2× 259 1.1× 180 1.2× 115 1.1× 72 1.1× 25 423
Gang Shao 221 0.9× 170 0.7× 132 0.9× 145 1.4× 49 0.7× 23 429
Nicolò Camarretta 194 0.8× 193 0.8× 132 0.9× 190 1.8× 57 0.9× 27 402
Russell Turner 239 0.9× 174 0.8× 155 1.1× 85 0.8× 85 1.3× 17 353
Katsuto Shimizu 216 0.9× 228 1.0× 87 0.6× 223 2.1× 53 0.8× 25 417
Songqiu Deng 238 0.9× 147 0.6× 121 0.8× 116 1.1× 80 1.2× 18 364
Keiko Ioki 287 1.1× 202 0.9× 167 1.1× 88 0.8× 74 1.1× 22 346
Heng Sokh 174 0.7× 156 0.7× 96 0.7× 153 1.4× 51 0.8× 24 372
Daniel de Almeida Papa 319 1.3× 206 0.9× 177 1.2× 121 1.1× 81 1.2× 14 436
M. Schardt 235 0.9× 151 0.7× 70 0.5× 64 0.6× 37 0.6× 16 366

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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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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