Ian Rose

1.7k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Ian Rose is a scholar working on Mechanical Engineering, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, Ian Rose has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 5 papers in Materials Chemistry and 4 papers in Inorganic Chemistry. Recurrent topics in Ian Rose's work include Membrane Separation and Gas Transport (8 papers), Covalent Organic Framework Applications (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Ian Rose is often cited by papers focused on Membrane Separation and Gas Transport (8 papers), Covalent Organic Framework Applications (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Ian Rose collaborates with scholars based in Italy, United Kingdom and United States. Ian Rose's co-authors include Mariolino Carta, Neil B. McKeown, Johannes C. Jansen, Maria‐Chiara Ferrari, Alessio Fuoco, C. Grazia Bezzu, Bibiana Comesaña‐Gándara, Elisa Esposito, Jie Chen and Paola Bernardo and has published in prestigious journals such as Nature Materials, Energy & Environmental Science and ACS Applied Materials & Interfaces.

In The Last Decade

Ian Rose

8 papers receiving 1.4k citations

Hit Papers

Redefining the Robeson upper bounds for CO2/CH4 and CO2/N... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Rose Italy 8 1.3k 833 371 334 278 8 1.4k
Arun K. Itta United States 14 710 0.6× 472 0.6× 254 0.7× 190 0.6× 163 0.6× 17 851
John D. Wind United States 7 944 0.7× 374 0.4× 300 0.8× 96 0.3× 352 1.3× 7 1.2k
Travis C. Bowen United States 10 880 0.7× 368 0.4× 310 0.8× 602 1.8× 129 0.5× 12 1.2k
Kryštof Pilnáček Czechia 13 640 0.5× 326 0.4× 212 0.6× 111 0.3× 147 0.5× 18 743
Atsushi Morisato United States 14 775 0.6× 289 0.3× 212 0.6× 79 0.2× 207 0.7× 18 879
Jinguk Kim Australia 12 596 0.5× 319 0.4× 311 0.8× 139 0.4× 149 0.5× 18 725
Yoshihiro Kusuki Japan 20 1.3k 1.0× 617 0.7× 280 0.8× 102 0.3× 337 1.2× 32 1.5k
Meng-Dong Jia Germany 6 616 0.5× 389 0.5× 198 0.5× 407 1.2× 136 0.5× 6 848
Miki Yoshimune Japan 16 577 0.5× 430 0.5× 181 0.5× 323 1.0× 136 0.5× 35 769

Countries citing papers authored by Ian Rose

Since Specialization
Citations

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

Fields of papers citing papers by Ian Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Rose

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

All Works

8 of 8 papers shown
1.
Monteleone, Marcello, Alessio Fuoco, Elisa Esposito, et al.. (2022). Advanced methods for analysis of mixed gas diffusion in polymeric membranes. Journal of Membrane Science. 648. 120356–120356. 18 indexed citations
2.
Malpass‐Evans, Richard, Ian Rose, Alessio Fuoco, et al.. (2020). Effect of Bridgehead Methyl Substituents on the Gas Permeability of Tröger’s-Base Derived Polymers of Intrinsic Microporosity. Membranes. 10(4). 62–62. 23 indexed citations
3.
Longo, Mariagiulia, Maria Penelope De Santo, Elisa Esposito, et al.. (2019). Correlating Gas Permeability and Young’s Modulus during the Physical Aging of Polymers of Intrinsic Microporosity Using Atomic Force Microscopy. Industrial & Engineering Chemistry Research. 59(12). 5381–5391. 34 indexed citations
4.
Comesaña‐Gándara, Bibiana, Jie Chen, C. Grazia Bezzu, et al.. (2019). Redefining the Robeson upper bounds for CO2/CH4 and CO2/N2 separations using a series of ultrapermeable benzotriptycene-based polymers of intrinsic microporosity. Energy & Environmental Science. 12(9). 2733–2740. 729 indexed citations breakdown →
5.
Fuoco, Alessio, Bibiana Comesaña‐Gándara, Mariagiulia Longo, et al.. (2018). Temperature Dependence of Gas Permeation and Diffusion in Triptycene-Based Ultrapermeable Polymers of Intrinsic Microporosity. ACS Applied Materials & Interfaces. 10(42). 36475–36482. 64 indexed citations
6.
Rose, Ian, C. Grazia Bezzu, Mariolino Carta, et al.. (2017). Polymer ultrapermeability from the inefficient packing of 2D chains. Nature Materials. 16(9). 932–937. 268 indexed citations
7.
Rose, Ian, Mariolino Carta, Richard Malpass‐Evans, et al.. (2015). Highly Permeable Benzotriptycene-Based Polymer of Intrinsic Microporosity. ACS Macro Letters. 4(9). 912–915. 163 indexed citations
8.
Carta, Mariolino, Richard Malpass‐Evans, Matthew Croad, et al.. (2014). The synthesis of microporous polymers using Tröger's base formation. Polymer Chemistry. 5(18). 5267–5272. 114 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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