Takahisa Maeda

701 citations
21 papers · 428 indexed · h-index 11
Topics
Plant Water Relations and Carbon Dynamics (7 papers)Atmospheric chemistry and aerosols (6 papers)Remote Sensing in Agriculture (4 papers)
Partner nations
JapanChinaThailand

In The Last Decade

Takahisa Maeda

19 papers receiving 414 citations

Peers

Takahisa Maeda
Comparison fields: 5 of 69
  • Global and Planetary Change 199
  • Ecology 141
  • Atmospheric Science 140
  • Environmental Engineering 136
  • Health, Toxicology and Mutagenesis 119
Replace Xiaofeng Lin with:
Xiaofeng Lin China
Juho Aalto Finland
Salvatore Romano Italy
G. Schebeske Germany
Igor Oliveira Ribeiro Brazil
Elnaz Neinavaz Netherlands
Sou Matsunaga Japan
Alice Dvorská Czechia
Patrícia S. Silva Brazil
Takahisa Maeda relative to Xiaofeng Lin China Xiaofeng Lin's profile →
Citations per field
00.5×6.3×
Xiaofeng Lin · 1×
Citations per year

Countries citing papers authored by Takahisa Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Takahisa Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahisa Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Takahisa Maeda. A scholar is included among the top collaborators of Takahisa Maeda 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 Takahisa Maeda. Takahisa Maeda 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 1
3 0
4 4
5 44
6 29
7 44
8 19
9 35
10 12
11 8
12 2
13 10
14 3
15 1
16 126
17 15
18
[Fluorometric determination of selenium in breast milk: studies on wet ashing].
2
19 10
20 4

About Takahisa Maeda

Takahisa Maeda is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science, having authored 21 papers that have together received 428 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (7 papers), Atmospheric chemistry and aerosols (6 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Ecological Modeling (51 citations), Environmental Engineering (136 citations) and Global and Planetary Change (199 citations). Takahisa Maeda has collaborated with scholars based in Japan, China and Thailand. Frequent co-authors include Ling‐Feng Hsiao, Minoru Gamo, Kenlo Nishida Nasahara, Shin Nagai, Masato Shinoda, Hiroyuki Muraoka, Rikie Suzuki, Xiaoyang Zhang, Yunyue Yu and Reiko Ide. Their work appears in journals such as PLoS ONE, Atmospheric Environment and International Journal of Remote Sensing.

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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