Mars G. Fontana

185 total papers · 1.1k total citations
77 papers, 724 citations indexed

About

Mars G. Fontana is a scholar working on Materials Chemistry, Metals and Alloys and Civil and Structural Engineering. According to data from OpenAlex, Mars G. Fontana has authored 77 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Materials Chemistry, 27 papers in Metals and Alloys and 14 papers in Civil and Structural Engineering. Recurrent topics in Mars G. Fontana's work include Corrosion Behavior and Inhibition (32 papers), Hydrogen embrittlement and corrosion behaviors in metals (27 papers) and Concrete Corrosion and Durability (12 papers). Mars G. Fontana is often cited by papers focused on Corrosion Behavior and Inhibition (32 papers), Hydrogen embrittlement and corrosion behaviors in metals (27 papers) and Concrete Corrosion and Durability (12 papers). Mars G. Fontana collaborates with scholars based in United States, Romania and Russia. Mars G. Fontana's co-authors include F. H. Beck, R. W. Staehle, N. D. Greene, R. Speiser, H. W. Pickering, Tatsuo KONDO, Toshiki Kondo, M.L. Holzworth, Richard May and J.P. Hirth and has published in prestigious journals such as Journal of Applied Physics, Journal of The Electrochemical Society and CORROSION.

In The Last Decade

Mars G. Fontana

68 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Mars G. Fontana	528	309	229	150	120	77	724
C. Sean Brossia	589 1.1×	449 1.5×	172 0.8×	246 1.6×	56 0.5×	49	732
J.J. Rameau	545 1.0×	237 0.8×	153 0.7×	187 1.2×	90 0.8×	47	750
Z. A. Foroulis	507 1.0×	263 0.9×	261 1.1×	174 1.2×	110 0.9×	40	701
J. Banaś	489 0.9×	244 0.8×	145 0.6×	132 0.9×	46 0.4×	44	653
Yoichi Wada	508 1.0×	407 1.3×	187 0.8×	138 0.9×	260 2.2×	75	736
Boxin Wei	592 1.1×	305 1.0×	287 1.3×	289 1.9×	106 0.9×	70	843
Shujun Gao	429 0.8×	265 0.9×	221 1.0×	100 0.7×	109 0.9×	29	678
Petri Kinnunen	733 1.4×	546 1.8×	177 0.8×	153 1.0×	313 2.6×	47	896
Chengxian Yin	490 0.9×	350 1.1×	281 1.2×	236 1.6×	94 0.8×	56	758
Dmitrij Zagidulin	538 1.0×	313 1.0×	205 0.9×	97 0.6×	229 1.9×	35	864

Countries citing papers authored by Mars G. Fontana

Since Specialization

Citations

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

Fields of papers citing papers by Mars G. Fontana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mars G. Fontana. 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 Mars G. Fontana. The network helps show where Mars G. Fontana may publish in the future.

Co-authorship network of co-authors of Mars G. Fontana

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

All Works

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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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