Motoshi Nakamura

2.2k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Motoshi Nakamura is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Motoshi Nakamura has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 15 papers in Materials Chemistry and 14 papers in Spectroscopy. Recurrent topics in Motoshi Nakamura's work include Analytical chemistry methods development (12 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Analytical Chemistry and Chromatography (8 papers). Motoshi Nakamura is often cited by papers focused on Analytical chemistry methods development (12 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Analytical Chemistry and Chromatography (8 papers). Motoshi Nakamura collaborates with scholars based in Japan, Netherlands and China. Motoshi Nakamura's co-authors include H. Sugimoto, Takuya Kato, Koji Yamaguchi, Yoshinori Kimoto, Kazuhito Hashimoto, Keisuke Tajima, Qingshuo Wei, Chunhe Yang, Erjun Zhou and Yue Zhang and has published in prestigious journals such as Analytical Chemistry, Macromolecules and Physical Chemistry Chemical Physics.

In The Last Decade

Motoshi Nakamura

48 papers receiving 1.8k citations

Hit Papers

Cd-Free Cu(In,Ga)(Se,S)2 Thin-Film Solar Cell With Record... 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Motoshi Nakamura Japan 14 1.6k 1.2k 351 266 103 48 1.9k
Govindasamy Sathiyan India 21 806 0.5× 682 0.6× 514 1.5× 32 0.1× 137 1.3× 37 1.5k
Mingming Fang United States 12 476 0.3× 635 0.5× 106 0.3× 77 0.3× 27 0.3× 21 1.2k
Hua Zhuang China 14 573 0.4× 459 0.4× 66 0.2× 72 0.3× 51 0.5× 29 931
Adil Touimi Benjelloun Morocco 24 531 0.3× 905 0.7× 335 1.0× 87 0.3× 41 0.4× 79 1.8k
Rafał Jurczakowski Poland 19 552 0.3× 441 0.4× 218 0.6× 54 0.2× 18 0.2× 57 1.2k
Babu Pejjai India 22 1.0k 0.6× 1.2k 1.0× 57 0.2× 103 0.4× 20 0.2× 56 1.7k
Jamil K. Salem Palestinian Territory 20 371 0.2× 808 0.7× 61 0.2× 58 0.2× 126 1.2× 47 1.2k
Paula C. Rodrigues Brazil 19 394 0.2× 220 0.2× 490 1.4× 72 0.3× 57 0.6× 61 993
Cheng‐Lan Lin Taiwan 20 433 0.3× 361 0.3× 326 0.9× 26 0.1× 104 1.0× 44 1.1k

Countries citing papers authored by Motoshi Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Motoshi Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoshi Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Motoshi Nakamura. A scholar is included among the top collaborators of Motoshi Nakamura 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 Motoshi Nakamura. Motoshi Nakamura 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.
Nakamura, Motoshi, et al.. (2022). Semi-transparent Perovskite Solar Cells for Four-Terminal Perovskite/CIGS Tandem Solar Cells. ACS Applied Energy Materials. 5(7). 8103–8111. 43 indexed citations
2.
Nakamura, Motoshi, et al.. (2022). Thermal Stability of K-Doped Organometal Halide Perovskite for Photovoltaic Materials. ACS Applied Energy Materials. 5(9). 10409–10414. 5 indexed citations
3.
Nakamura, Motoshi, Keishi Tada, Takumi Kinoshita, et al.. (2020). Perovskite/CIGS Spectral Splitting Double Junction Solar Cell with 28% Power Conversion Efficiency. iScience. 23(12). 101817–101817. 35 indexed citations
4.
Nakamura, Motoshi, et al.. (2019). Cd-Free Cu(In,Ga)(Se,S)2 Thin-Film Solar Cell With Record Efficiency of 23.35%. IEEE Journal of Photovoltaics. 9(6). 1863–1867. 1057 indexed citations breakdown →
5.
Kamada, Rui, Motoshi Nakamura, Shunsuke Adachi, Takuya Kato, & H. Sugimoto. (2015). Evaluation of “rollover” in Cu(In,Ga)(Se,S)2thin film solar cells using Suns-Vαmeasurements. 1 indexed citations
6.
Nakamura, Motoshi, et al.. (2014). Recent R&amp;D progress in solar frontier's small-sized Cu(InGa)(SeS)<inf>2</inf> solar cells. 107–110. 38 indexed citations
7.
Tada, Akira, Yanfang Geng, Motoshi Nakamura, et al.. (2012). Interfacial modification of organic photovoltaic devices by molecular self-organization. Physical Chemistry Chemical Physics. 14(11). 3713–3713. 46 indexed citations
8.
Nakamura, Motoshi, Takayuki Suzuki, Ken‐ichi Amano, & Shinkichi Yamada. (2001). Relation of sorption behavior of agricultural chemicals in solid-phase extraction with their n-octanol/water partition coefficients evaluated by high-performance liquid chromatography (HPLC). Analytica Chimica Acta. 428(2). 219–226. 13 indexed citations
9.
Aizawa, Sen‐ichi, et al.. (2001). Kinetic Effect of Zinc(II) and Cadmium(II) Ions on Configurational Inversion of ΔLLL-fac(S)-Tris(l-cysteinato-N,S)cobalt(III) Complex. Analytical Sciences. 17(2). 339–343. 3 indexed citations
11.
Nakamura, Motoshi, et al.. (2000). Fluorometric determination of Ethofenprox in water by using solid-phase extraction. Fresenius Journal of Analytical Chemistry. 367(7). 658–660. 5 indexed citations
12.
Nakamura, Motoshi, et al.. (2000). Fluorometric determination of asulam in water by using solid-phase extraction.. BUNSEKI KAGAKU. 49(1). 65–68. 4 indexed citations
13.
Kato, Mikio, et al.. (1995). Preparation and evaluation of magnesia-coated silica as column packing material for high-performance liquid chromatography. Journal of Chromatography A. 704(1). 45–53. 13 indexed citations
14.
Kaneko, Shoji, et al.. (1994). Separation behaviour of silica-containing mixed oxides as column packing materials for liquid chromatography. Journal of Chromatography A. 669(1-2). 1–7. 30 indexed citations
15.
Kaneko, Shoji, et al.. (1993). Silica-Containing Mixed-Oxide Gels Prepared by a Coprecipitation Method as Novel Packing Materials for Liquid Chromatography. Chemistry Letters. 22(8). 1275–1278. 4 indexed citations
16.
Kaneko, Shoji, et al.. (1992). Mutual Separation of Amino Acids in Aqueous Solutions with Silica-Containing Mixed-Oxide Gels. Chemistry Letters. 21(11). 2249–2252. 8 indexed citations
17.
Yamada, Shinkichi, et al.. (1991). Kinetic determination of niobium in the presence of tantalum based on the difference in the rate of ligand substitution.. BUNSEKI KAGAKU. 40(10). 543–547. 1 indexed citations
18.
Nakamura, Motoshi, et al.. (1984). Spectrophotometric determination of nitrite in waters with 5,7-dihydroxy-4-imino-2-oxochroman. Analytical Chemistry. 56(12). 2242–2244. 13 indexed citations
19.
Nakamura, Motoshi & Akira Murata. (1979). Spectrophotometric determination of nitrite using 4,5-dihydroxycoumarin. The Analyst. 104(1243). 985–985. 10 indexed citations
20.
Murata, Akira, et al.. (1978). Fluorescence reaction of scandium with 5-hydroxyflavone, 5-hydroxyisoflavone and their derivatives. BUNSEKI KAGAKU. 27(12). 788–792. 2 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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