Narumasa Tsutsumida

765 total citations · 1 hit paper
48 papers, 545 citations indexed

About

Narumasa Tsutsumida is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Narumasa Tsutsumida has authored 48 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 20 papers in Ecology and 10 papers in Environmental Engineering. Recurrent topics in Narumasa Tsutsumida's work include Land Use and Ecosystem Services (21 papers), Remote Sensing in Agriculture (19 papers) and Spatial and Panel Data Analysis (10 papers). Narumasa Tsutsumida is often cited by papers focused on Land Use and Ecosystem Services (21 papers), Remote Sensing in Agriculture (19 papers) and Spatial and Panel Data Analysis (10 papers). Narumasa Tsutsumida collaborates with scholars based in Japan, United Kingdom and Indonesia. Narumasa Tsutsumida's co-authors include Alexis Comber, Izuru Saizen, Ernan Rustiadi, Andrea Emma Pravitasari, Didit Okta Pribadi, Paul Harris, Setyardi Pratika Mulya, Yudi Setiawan, Masayuki Matsuoka and Reiichiro Ishii and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Narumasa Tsutsumida

43 papers receiving 528 citations

Hit Papers

Impact of continuous Jakarta megacity urban expansion on ... 2020 2026 2022 2024 2020 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narumasa Tsutsumida Japan 13 302 184 111 91 65 48 545
Mo Su China 9 299 1.0× 125 0.7× 72 0.6× 35 0.4× 70 1.1× 16 466
AmirReza Shahtahmassebi China 12 406 1.3× 147 0.8× 182 1.6× 108 1.2× 74 1.1× 12 633
Jianwan Ji China 12 291 1.0× 119 0.6× 91 0.8× 44 0.5× 68 1.0× 31 425
Zhengming Gu China 9 516 1.7× 167 0.9× 115 1.0× 104 1.1× 116 1.8× 9 678
Filip Sabo Italy 11 319 1.1× 125 0.7× 140 1.3× 40 0.4× 89 1.4× 30 560
Anqi Lin China 8 426 1.4× 125 0.7× 66 0.6× 44 0.5× 91 1.4× 13 600
Chiwei Xiao China 18 509 1.7× 368 2.0× 175 1.6× 44 0.5× 107 1.6× 64 844
Yongke Yang China 7 384 1.3× 222 1.2× 138 1.2× 35 0.4× 146 2.2× 10 517
Somnath Rudra India 11 290 1.0× 169 0.9× 166 1.5× 30 0.3× 69 1.1× 17 520
Lisha Tang China 5 354 1.2× 102 0.6× 76 0.7× 89 1.0× 65 1.0× 10 472

Countries citing papers authored by Narumasa Tsutsumida

Since Specialization
Citations

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

Fields of papers citing papers by Narumasa Tsutsumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narumasa Tsutsumida

This figure shows the co-authorship network connecting the top 25 collaborators of Narumasa Tsutsumida. A scholar is included among the top collaborators of Narumasa Tsutsumida 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 Narumasa Tsutsumida. Narumasa Tsutsumida 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.
Rodríguez‐Veiga, Pedro, João M. B. Carreiras, S. Quegan, et al.. (2025). Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Scientific Reports. 15(1). 41744–41744.
2.
Tsutsumida, Narumasa, et al.. (2025). A scalable k-medoids clustering via whale optimization algorithm. Array. 28. 100599–100599.
3.
Tsutsumida, Narumasa, et al.. (2025). A review on data-driven methods for solar energy forecasting. Applied Energy. 400. 126631–126631.
4.
Comber, Alexis, Paul Harris, Daisuke Murakami, et al.. (2024). Encapsulating Spatially Varying Relationships with a Generalized Additive Model. ISPRS International Journal of Geo-Information. 13(12). 459–459. 1 indexed citations
5.
Tsutsumida, Narumasa, et al.. (2023). Mapping cherry blossom phenology using a semi-automatic observation system with street level photos. Ecological Informatics. 78. 102314–102314. 5 indexed citations
7.
Osawa, Takeshi, Narumasa Tsutsumida, Hayato Iijima, & Kimiko Okabe. (2023). Prediction of the visit and occupy of the sika deer (Cervus nippon) during the summer season using a virtual ecological approach. Scientific Reports. 13(1). 4007–4007.
8.
Comber, Alexis & Narumasa Tsutsumida. (2023). Geographically weighted accuracy for hard and soft land cover classifications: 5 approaches with coded illustrations. International Journal of Remote Sensing. 44(19). 6233–6257. 2 indexed citations
9.
Nagai, Shin, Tomoaki Miura, Narumasa Tsutsumida, et al.. (2023). Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics. Frontiers in Forests and Global Change. 6. 5 indexed citations
10.
Tsutsumida, Narumasa, Shin Nagai, & Tomoaki Miura. (2022). Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan. Remote Sensing. 14(9). 2017–2017. 7 indexed citations
11.
Nagai, Shin, Ayumi Kotani, Shunsuke Tei, & Narumasa Tsutsumida. (2022). Monitoring of cherry flowering phenology with Google Trends. PLoS ONE. 17(7). e0271648–e0271648. 4 indexed citations
12.
Tsutsumida, Narumasa, et al.. (2022). Exploratory Spatial Data Analysis with gwpcorMapper: an Interactive Mapping Tool for Geographically Weighted Correlation and Partial Correlation. Journal of Geovisualization and Spatial Analysis. 6(1). 8 indexed citations
13.
Doi, Hideyuki, Takeshi Osawa, & Narumasa Tsutsumida. (2022). Assessing the potential repercussions of the COVID-19 pandemic on global SDG attainment. SHILAP Revista de lepidopterología. 3(1). 2–2. 4 indexed citations
14.
Nagai, Shin, et al.. (2021). Usefulness of Social Sensing Using Text Mining of Tweets for Detection of Autumn Phenology. Frontiers in Forests and Global Change. 4. 6 indexed citations
15.
Ibrahim, Saad Eddin, Heiko Balzter, Kevin Tansey, Renaud Mathieu, & Narumasa Tsutsumida. (2019). Impact of Soil Reflectance Variation Correction on Woody Cover Estimation in Kruger National Park Using MODIS Data. Remote Sensing. 11(8). 898–898. 6 indexed citations
16.
Murakami, Daisuke, et al.. (2019). Scalable geographically weighted regression for big data. 1 indexed citations
18.
Tsutsumida, Narumasa, Pedro Rodríguez‐Veiga, Paul Harris, Heiko Balzter, & Alexis Comber. (2018). Investigating spatial error structures in continuous raster data. International Journal of Applied Earth Observation and Geoinformation. 74. 259–268. 12 indexed citations
19.
Comber, Alexis, Paul Harris, & Narumasa Tsutsumida. (2016). Improving land cover classification using input variables derived from a geographically weighted principal components analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 119. 347–360. 28 indexed citations
20.
Pravitasari, Andrea Emma, Izuru Saizen, Narumasa Tsutsumida, & Ernan Rustiadi. (2014). Detection of Spatial Clusters of Flood- and Landslide-Prone Areas using Local Moran Index in Jabodetabek Metropolitan Area, Indonesia. International Journal of Ecology and Environmental Sciences. 40(4). 233–243. 10 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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