N. Mine

2.2k total citations · 2 hit papers
16 papers, 1.8k citations indexed

About

N. Mine is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, N. Mine has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 12 papers in Electrical and Electronic Engineering and 7 papers in Materials Chemistry. Recurrent topics in N. Mine's work include Ion-surface interactions and analysis (12 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and Diamond and Carbon-based Materials Research (6 papers). N. Mine is often cited by papers focused on Ion-surface interactions and analysis (12 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and Diamond and Carbon-based Materials Research (6 papers). N. Mine collaborates with scholars based in Belgium, Switzerland and Japan. N. Mine's co-authors include Michaël Grätzel, Konrad Domanski, Michael Saliba, Mohammad Khaja Nazeeruddin, Anders Hagfeldt, Antonio Abate, Juan‐Pablo Correa‐Baena, Wolfgang Tress, Laurent Houssiau and Bastien Douhard and has published in prestigious journals such as ACS Nano, Energy & Environmental Science and Chemical Physics Letters.

In The Last Decade

N. Mine

16 papers receiving 1.8k citations

Hit Papers

Not All That Glitters Is Gold: Metal-Migration-Induced De... 2016 2026 2019 2022 2016 2017 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Not All That Glitters Is Gold: Metal-Migration-Induced Degradation in Perovskite Solar Cells
    2016 1.0k citations Konrad Domanski, Juan‐Pablo Correa‐Baena et al. ACS Nano profile →
  2. Migration of cations induces reversible performance losses over day/night cycling in perovskite solar cells
    2017 583 citations Konrad Domanski, Bart Roose et al. Energy & Environmental Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Mine Belgium 10 1.7k 1.1k 865 173 46 16 1.8k
Jiewei Liu Japan 15 1.3k 0.8× 884 0.8× 537 0.6× 82 0.5× 53 1.2× 24 1.4k
K. Miyake Japan 15 541 0.3× 344 0.3× 354 0.4× 55 0.3× 68 1.5× 33 679
Ikuo Nagasawa Japan 9 555 0.3× 698 0.7× 141 0.2× 73 0.4× 186 4.0× 14 941
Carmen M. Ruiz Spain 18 798 0.5× 559 0.5× 127 0.1× 23 0.1× 29 0.6× 72 913
A. Amaral Portugal 14 482 0.3× 432 0.4× 121 0.1× 16 0.1× 55 1.2× 57 613
B.S. Dassanayake Sri Lanka 16 477 0.3× 418 0.4× 48 0.1× 133 0.8× 52 1.1× 65 731
Kevin J. Rietwyk Australia 18 614 0.4× 635 0.6× 171 0.2× 16 0.1× 66 1.4× 44 900
Md. Kawsar Alam Bangladesh 15 464 0.3× 340 0.3× 144 0.2× 19 0.1× 55 1.2× 68 682
Michel Cathelinaud France 15 562 0.3× 454 0.4× 46 0.1× 50 0.3× 44 1.0× 45 665

Countries citing papers authored by N. Mine

Since Specialization
Citations

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

Fields of papers citing papers by N. Mine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Mine

This figure shows the co-authorship network connecting the top 25 collaborators of N. Mine. A scholar is included among the top collaborators of N. Mine 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 N. Mine. N. Mine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Busby, Yan, et al.. (2019). ToF-SIMS Depth Profiling of Organic Delta Layers with Low-Energy Cesium Ions: Depth Resolution Assessment. Journal of the American Society for Mass Spectrometry. 30(8). 1537–1544. 15 indexed citations
2.
Domanski, Konrad, Bart Roose, Taisuke Matsui, et al.. (2017). Migration of cations induces reversible performance losses over day/night cycling in perovskite solar cells. Energy & Environmental Science. 10(2). 604–613. 583 indexed citations breakdown →
3.
Domanski, Konrad, Juan‐Pablo Correa‐Baena, N. Mine, et al.. (2016). Not All That Glitters Is Gold: Metal-Migration-Induced Degradation in Perovskite Solar Cells. ACS Nano. 10(6). 6306–6314. 1030 indexed citations breakdown →
4.
Mine, N., et al.. (2014). Use of Secondary Ions Mass Spectrometry (SIMS) for Cladding Materials Post-Irradiation Examination (PIE). Microscopy and Microanalysis. 20(S3). 1802–1803. 1 indexed citations
5.
Mine, N., et al.. (2014). Imaging and hydrogen analysis by SIMS in zirconium alloy cladding: a dual ion beam approach. Surface and Interface Analysis. 46(S1). 249–252. 3 indexed citations
6.
Houssiau, Laurent, et al.. (2014). Investigation of Cs surface layer formation in Cs‐SIMS with TOF‐MEIS and SIMS. Surface and Interface Analysis. 46(S1). 22–24. 4 indexed citations
7.
Mine, N. & Laurent Houssiau. (2012). First in situ Optical Emission Spectroscopy measurements during cesium low‐energy depth profiling. Surface and Interface Analysis. 45(1). 61–64. 3 indexed citations
8.
Brison, J., et al.. (2012). Molecular depth profiling of model biological films using low energy monoatomic ions. International Journal of Mass Spectrometry. 321-322. 1–7. 11 indexed citations
9.
Batan, Abdelkrim, N. Mine, Bastien Douhard, et al.. (2010). Evidence of covalent bond formation at the silane–metal interface during plasma polymerization of bis-1,2-(triethoxysilyl)ethane (BTSE) on aluminium. Chemical Physics Letters. 493(1-3). 107–112. 22 indexed citations
10.
Houssiau, Laurent & N. Mine. (2010). Molecular depth profiling of polymers with very low energy reactive ions. Surface and Interface Analysis. 42(8). 1402–1408. 24 indexed citations
11.
Houssiau, Laurent & N. Mine. (2010). Molecular depth profiling with reactive ions, or why chemistry matters in sputtering. Surface and Interface Analysis. 43(1-2). 146–150. 19 indexed citations
12.
Houssiau, Laurent, Bastien Douhard, & N. Mine. (2008). Molecular depth profiling of polymers with very low energy ions. Applied Surface Science. 255(4). 970–972. 39 indexed citations
13.
Mine, N., Bastien Douhard, & Laurent Houssiau. (2008). MCsn+ cluster formation on organic surfaces: A novel way to depth-profile organics?. Applied Surface Science. 255(4). 973–976. 8 indexed citations
14.
Mine, N., Bastien Douhard, J. Brison, & Laurent Houssiau. (2007). Molecular depth‐profiling of polycarbonate with low‐energy Cs + ions. Rapid Communications in Mass Spectrometry. 21(16). 2680–2684. 51 indexed citations
15.
Brison, J., et al.. (2006). Measurement and modeling of work function changes during low energy cesium sputtering. Surface Science. 601(6). 1467–1472. 25 indexed citations
16.
Mine, N., et al.. (2000). NOx treatment by positive streamer corona. Vacuum. 59(1). 220–227. 3 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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