Keitarou Hara

817 total citations
50 papers, 599 citations indexed

About

Keitarou Hara is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Keitarou Hara has authored 50 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 25 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in Keitarou Hara's work include Remote Sensing in Agriculture (23 papers), Land Use and Ecosystem Services (19 papers) and Remote Sensing and LiDAR Applications (13 papers). Keitarou Hara is often cited by papers focused on Remote Sensing in Agriculture (23 papers), Land Use and Ecosystem Services (19 papers) and Remote Sensing and LiDAR Applications (13 papers). Keitarou Hara collaborates with scholars based in Japan, China and Vietnam. Keitarou Hara's co-authors include Ram C. Sharma, Ryutaro Tateishi, Kotaro Iizuka, Mizuki Tomita, Luong Viet Nguyen, Koji Kajiwara, Junichi Susaki, Yoshiaki Honda, Liangjun Da and Yoshifumi Yasuoka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Keitarou Hara

49 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keitarou Hara Japan 13 321 256 182 122 83 50 599
Ram C. Sharma Japan 13 294 0.9× 248 1.0× 268 1.5× 125 1.0× 82 1.0× 40 581
Filiz Bektaş Balçık Türkiye 13 373 1.2× 318 1.2× 250 1.4× 144 1.2× 82 1.0× 37 703
Kotaro Iizuka Japan 14 329 1.0× 263 1.0× 321 1.8× 90 0.7× 90 1.1× 27 694
Christopher F. Brown United States 4 326 1.0× 291 1.1× 180 1.0× 145 1.2× 96 1.2× 5 615
Klaus Steinnocher Austria 15 308 1.0× 212 0.8× 141 0.8× 142 1.2× 172 2.1× 48 648
Wunian Yang China 14 599 1.9× 293 1.1× 149 0.8× 180 1.5× 60 0.7× 88 926
J. Latham Italy 6 402 1.3× 335 1.3× 196 1.1× 246 2.0× 92 1.1× 12 713
Eugene A. Fosnight United States 5 477 1.5× 401 1.6× 221 1.2× 127 1.0× 75 0.9× 10 721
Sarah Banks Canada 16 330 1.0× 312 1.2× 237 1.3× 188 1.5× 65 0.8× 30 701
Brookie Guzder-Williams United States 4 328 1.0× 268 1.0× 168 0.9× 137 1.1× 100 1.2× 7 590

Countries citing papers authored by Keitarou Hara

Since Specialization
Citations

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

Fields of papers citing papers by Keitarou Hara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keitarou Hara

This figure shows the co-authorship network connecting the top 25 collaborators of Keitarou Hara. A scholar is included among the top collaborators of Keitarou Hara 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 Keitarou Hara. Keitarou Hara 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.
Sharma, Ram C., et al.. (2022). Classification and Mapping of Plant Communities Using Multi-Temporal and Multi-Spectral Satellite Images. Journal of Geography and Geology. 14(1). 43–43. 2 indexed citations
2.
Tomita, Mizuki, et al.. (2019). LAND-COVER MAPS USING MULTIPLE CLASSIFIER SYSTEM FOR POST-DISASTERLANDSCAPE MONITORING. SHILAP Revista de lepidopterología. XLII-3/W8. 139–142. 2 indexed citations
3.
Nakata, Michinori, Hiroshi Sakai, & Keitarou Hara. (2019). Rule induction based on rough sets from information tables having continuous domains. CAAI Transactions on Intelligence Technology. 4(4). 237–244. 4 indexed citations
4.
Sharma, Ram C., et al.. (2018). Improvement of Countrywide Vegetation Mapping over Japan and Comparison to Existing Maps. 7(3). 163–170. 3 indexed citations
5.
Hasegawa, Daisuke, et al.. (2017). Detection of different vegetation phenology of artificial Japanese larch forest and deciduous broad-leaved forest in Hokkaido eastern region by Terra/MODIS in the defoliation period. Journal of the Japan society of photogrammetry and remote sensing. 56(1). 4–13. 1 indexed citations
6.
Tajika, Masahiro, Tsutomu Tanaka, Makoto Ishihara, et al.. (2017). Comparative evaluation of new and conventional classifications of magnifying endoscopy with narrow band imaging for invasion depth of superficial esophageal squamous cell carcinoma. Diseases of the Esophagus. 30(11). 1–8. 10 indexed citations
7.
Sharma, Ram C., Ryutaro Tateishi, & Keitarou Hara. (2016). A new water-resistant snow index for the detection and mapping of snow cover on a global scale. International Journal of Remote Sensing. 37(11). 2706–2723. 12 indexed citations
8.
Hara, Keitarou, et al.. (2015). Monitoring Landscape Changes in Japan Using Classification of Modis Data Combined with a Landscape Transformation Sere (LTS) Model. SHILAP Revista de lepidopterología. 7(3). 23–38. 6 indexed citations
9.
Kanno, Hiroshi, et al.. (2014). Vegetation change in various coastal forest habitats after a huge tsunami: a three-year study.. 19(2). 201–220. 3 indexed citations
10.
Tang, Cindy Q., Yuhui Li, Zhiying Zhang, et al.. (2014). Effects of management on vegetation dynamics and associated nutrient cycling in a karst area, Yunnan, SW China. Landscape and Ecological Engineering. 11(1). 177–188. 5 indexed citations
11.
Hara, Keitarou, et al.. (2013). Environmental monitoring of areas damaged by the Great East Japan Earthquake and subsequent tsunami using digital aerial photographs and airborne LiDAR::A case study of the Sendai Bay coastal forests. 18(1). 29–34. 1 indexed citations
12.
Hara, Keitarou, et al.. (2012). Object-oriented image analysis to extract landscape elements in urban fringes, Central Japan. Landscape and Ecological Engineering. 9(2). 239–247. 1 indexed citations
13.
Hara, Keitarou, et al.. (2012). Characteristics and Seasonal variations in reflectance of evergreen forest including Madake and Mousouchiku bamboo determined by using ALOS/AVNIR-2. Journal of the Japan society of photogrammetry and remote sensing. 50(6). 361–366. 1 indexed citations
14.
Matsumura, Tomoko, et al.. (2011). . 16(1). 17–32.
15.
16.
Susaki, Junichi, et al.. (2004). Validation of temporal BRDFs of paddy fields estimated from MODIS reflectance data. IEEE Transactions on Geoscience and Remote Sensing. 42(6). 1262–1270. 10 indexed citations
17.
Hara, Keitarou, et al.. (2001). A Study on Numerical Methods for Air Quality Simulation. 5(1). 65–72. 2 indexed citations
18.
Tomita, Mizuki, et al.. (2000). Drastic recovery of Melaleuca-dominant scrub after a severe wild fire : A three-year period study in a degraded peat swamp, Thailand. Medical Entomology and Zoology. 7(1). 81–87. 1 indexed citations
19.
Hara, Keitarou, et al.. (1995). The pattern of species association in a successional forest on Mt.Bandai. 23(2). 101–110. 2 indexed citations
20.
Hara, Keitarou. (1987). A Categorization of Plant Communities as Habitats for Climbing Plants. 21(2). 55–66. 1 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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