Ivan Cole

11.1k total citations · 2 hit papers
261 papers, 9.0k citations indexed

About

Ivan Cole is a scholar working on Materials Chemistry, Civil and Structural Engineering and Metals and Alloys. According to data from OpenAlex, Ivan Cole has authored 261 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Materials Chemistry, 69 papers in Civil and Structural Engineering and 43 papers in Metals and Alloys. Recurrent topics in Ivan Cole's work include Corrosion Behavior and Inhibition (106 papers), Concrete Corrosion and Durability (65 papers) and Hydrogen embrittlement and corrosion behaviors in metals (43 papers). Ivan Cole is often cited by papers focused on Corrosion Behavior and Inhibition (106 papers), Concrete Corrosion and Durability (65 papers) and Hydrogen embrittlement and corrosion behaviors in metals (43 papers). Ivan Cole collaborates with scholars based in Australia, China and India. Ivan Cole's co-authors include Adrian Trinchi, N. Birbilis, Tim H. Muster, Donavan Marney, Qin Li, Paul Atkin, D.A. Paterson, Shujun Wang, Murali Sankar Venkatraman and Shengliang Hu and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Ivan Cole

253 papers receiving 8.6k citations

Hit Papers

Tunable Photoluminescence... 2015 2026 2018 2022 2015 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivan Cole 6.6k 2.0k 1.5k 1.3k 1.3k 261 9.0k
Dawei Zhang 7.6k 1.1× 2.4k 1.2× 2.3k 1.5× 1.5k 1.1× 1.9k 1.5× 241 11.0k
J.M.C. Mol 7.0k 1.1× 2.3k 1.1× 1.6k 1.1× 1.4k 1.0× 2.2k 1.7× 296 9.8k
M. Keddam 5.5k 0.8× 2.9k 1.4× 2.2k 1.5× 974 0.7× 1.3k 1.0× 235 9.9k
Robert G. Kelly 4.2k 0.6× 1.6k 0.8× 2.3k 1.6× 389 0.3× 1.9k 1.5× 267 6.5k
Bernard Tribollet 10.2k 1.6× 3.7k 1.8× 3.7k 2.5× 1.7k 1.3× 2.7k 2.1× 327 17.2k
Daquan Zhang 4.1k 0.6× 1.4k 0.7× 766 0.5× 1.2k 0.9× 408 0.3× 219 7.0k
Shengtao Zhang 12.0k 1.8× 7.7k 3.8× 4.6k 3.1× 1.2k 0.9× 560 0.4× 309 14.6k
Lei Guo 13.5k 2.1× 8.1k 4.0× 4.9k 3.3× 1.6k 1.2× 997 0.8× 426 16.4k
Lei Li 3.7k 0.6× 472 0.2× 365 0.2× 1.8k 1.3× 972 0.8× 279 7.3k
C. Gabrielli 2.6k 0.4× 645 0.3× 898 0.6× 1.5k 1.1× 661 0.5× 242 7.8k

Countries citing papers authored by Ivan Cole

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Cole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Cole

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Cole. A scholar is included among the top collaborators of Ivan Cole 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 Ivan Cole. Ivan Cole 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.
Ball, Andrew S., et al.. (2025). Metal-Doped Carbon Dots as Fenton-like Catalysts and Their Applications in Pollutant Degradation and Sensing. Sustainability. 17(8). 3642–3642. 7 indexed citations
2.
Verhagen, Wim J.C., et al.. (2024). A review and outlook of airframe digital twins for structural prognostics and health management in the aviation industry. Journal of Manufacturing Systems. 77. 398–417. 8 indexed citations
4.
Ordejón, Pablo, et al.. (2024). Molecular modeling applied to corrosion inhibition: a critical review. npj Materials Degradation. 8(1). 27 indexed citations
5.
Yin, Hong, Yang Lü, Rui Chen, et al.. (2024). Cytotoxicity and Antimicrobial Efficacy of Fe-, Co-, and Mn-Doped ZnO Nanoparticles. Molecules. 29(24). 5966–5966.
6.
Pramanik, Biplob Kumar, et al.. (2023). Fast and Effective Removal of Congo Red by Doped ZnO Nanoparticles. Nanomaterials. 13(3). 566–566. 14 indexed citations
7.
Jelinek, Raz, Tian Zhang, Ivan Cole, et al.. (2023). A Green Synthesis Route to Derive Carbon Quantum Dots for Bioimaging Cancer Cells. Nanomaterials. 13(14). 2103–2103. 26 indexed citations
8.
Li, Xiangdong, M.J. Patel, & Ivan Cole. (2023). Portable Air Purifiers’ Predicted Efficacy in Mitigating Airborne Pathogen Transmission in an Office Room Featuring Mixing Ventilation. Fluids. 8(12). 307–307. 1 indexed citations
9.
Mahbub, Parvez, David Rudd, Nicolas H. Voelcker, et al.. (2023). Rapid and selective screening of organic peroxide explosives using acid-hydrolysis induced chemiluminescence. Analytica Chimica Acta. 1255. 341156–341156. 4 indexed citations
10.
Bab‐Hadiashar, Alireza, Reza Hoseinnezhad, Nazmul Alam, et al.. (2022). Predictions of in-situ melt pool geometric signatures via machine learning techniques for laser metal deposition. International Journal of Computer Integrated Manufacturing. 36(9). 1345–1361. 22 indexed citations
11.
Venkatraman, Murali Sankar, et al.. (2022). Theory of impedance for initial corrosion of metals under a thin electrolyte layer: a coupled charge transfer-diffusion model. Journal of Chemical Sciences. 134(1). 10 indexed citations
12.
Bab‐Hadiashar, Alireza, et al.. (2022). A review of the parameter-signature-quality correlations through in situ sensing in laser metal additive manufacturing. The International Journal of Advanced Manufacturing Technology. 124(5-6). 1401–1427. 18 indexed citations
13.
Patel, M.J., et al.. (2021). Multiscale simulation of rapid solidification of an aluminium–silicon alloy under additive manufacturing conditions. Additive manufacturing. 48. 102353–102353. 25 indexed citations
14.
Khudur, Leadin S., et al.. (2021). Catalytic degradation of methylene blue using iron and nitrogen-containing carbon dots as Fenton-like catalysts. New Journal of Chemistry. 46(1). 263–275. 27 indexed citations
16.
Truskewycz, Adam, et al.. (2019). Incorporation of quantum carbon dots into a PVP/ZnO hydrogel for use as an effective hexavalent chromium sensing platform. Analytica Chimica Acta. 1099. 126–135. 36 indexed citations
17.
Wang, Lanhui, Kui Lin, Adrian Trinchi, Ivan Cole, & Fei Tian. (2018). Controllable Synthesis of Carbon Dots with Excitation‐Wavelength‐Dependent or Independent Photoluminescence for the Selective and Sensitive Detection of Co 2+ Ions. ChemistrySelect. 3(42). 11791–11799. 9 indexed citations
18.
Clark, Rhiannon M., Kyle J. Berean, Benjamin J. Carey, et al.. (2017). Patterned films from exfoliated two-dimensional transition metal dichalcogenides assembled at a liquid–liquid interface. Journal of Materials Chemistry C. 5(28). 6937–6944. 13 indexed citations
19.
Fernández, Michael, Michael Breedon, Ivan Cole, & Amanda S. Barnard. (2016). Modeling corrosion inhibition efficacy of small organic molecules as non-toxic chromate alternatives using comparative molecular surface analysis (CoMSA). Chemosphere. 160. 80–88. 22 indexed citations
20.
Cole, Ivan, et al.. (2013). Multi-scale modeling of materials: a basis for computational design. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026