The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Srdjan Nesic sits on this spectrum.
This scientist: 346 publications — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,163 publications or more.
The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Srdjan Nesic sits on this spectrum.
This scientist: 69 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 165 D-Index or more.
Srdjan Nesic is affiliated with Ohio University in the United States. Their research focuses primarily on materials science and engineering, with significant contributions in several subfields including materials chemistry, metals and alloys, and civil and structural engineering. The scope of their work also extends into mechanical engineering and analytical chemistry.
The scientist's main research topics include corrosion behavior and inhibition, hydrogen embrittlement and corrosion behaviors in metals, and concrete corrosion and durability. Additional topics covered in their work involve petroleum processing and analysis, phase equilibria and thermodynamics, CO2 sequestration and geologic interactions, as well as non-destructive testing techniques.
Frequent coauthors collaborating with Nesic include Bruce Brown, Huiru Wang, Alain Pailleret, Yoon-Seok Choi, and Negar Moradighadi, reflecting ongoing research partnerships and collective exploration in related specialized topics.
Publication venues where Nesic has contributed extensively are:
Some notable recent papers authored or coauthored by Nesic are:
The body of work produced by Nesic contributes to the understanding of corrosion processes in various environments, especially relating to metals under chemical and electrochemical stressors. Their involvement in experimental research, mathematical modeling, and the application of machine learning methods underlines a multidisciplinary approach. This work supports developments in the durability and integrity of metallic materials in industrial and structural contexts.
Srdjan Nešić
S. Nesic;J. Postlethwaite;S. Olsen
M. Nordsveen;S. Nešić;R. Nyborg;A. Stangeland
F. Farelas;F. Farelas;M. Galicia;B. Brown;S. Nesic
Yoon-Seok Choi;Srdjan Nesic;David Young
Jean L. Crolet;N. Thevenot;Srdjan Nesic
Yoon-Seok Choi;Srdjan Nesic;Shiun Ling
Yoon-Seok Choi;Srdjan Nešić
S. Nešić;K.-L. J. Lee
Wei Sun;Srdjan Nešić;Richard C. Woollam
S. Nešić;J. Vodnik
S. Nešić;M. Nordsveen;R. Nyborg;A. Stangeland
S. Nešić;G. T. Solvi;J. Enerhaug
Yougui Zheng;Bruce Brown;Srdjan Nešić
Ramakrishna Malka;Srdjan Nešić;Daniel A. Gulino
Srdjan Nesic;Rolf Nyborg;Aage Stangeland;Magnus Nordsveen
Srdjan Nesic;Daniel A. Gulino;Ramakrishna Malka
K. S. George;S. Nešić
Wei Sun;Srdjan Nesic
Yoon-Seok Choi;David Young;Srdjan Nešić;Linda G.S. Gray
S. Nešić;L. Lunde
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