T. Markley

1.4k citations
25 papers · 1.2k · h-index 17

Impact in

Papers in

    • Corrosion Behavior and Inhibition 24
    • Machine Learning in Materials Science 1
    • Cultural Heritage Materials Analysis 1

T. Markley

23 papers receiving 1.2k citations

Peers

T. Markley
Comparison fields: 5 of 43
  • Materials Chemistry 1k
  • Metals and Alloys 14
  • Polymers and Plastics 58
  • Electrochemistry 9
  • Biomaterials 31
Replace S.J. Visco with:
S.J. Visco United States
Márta A. Jakab United States
Osami Seri Japan
M.D. Maksimović Serbia
Rolf Ødegård Norway
S. Hamar‐Thibault France
Toshimi Fukui Japan
Rishi Vyas India
Ching-Yuan Ho Taiwan
Yongming Wang Japan
T. Markley relative to S.J. Visco United States S.J. Visco's profile →
Citations per field
00.5×2×4×5.2×
S.J. Visco · 1×
Citations per year

Countries citing papers authored by T. Markley

Since Specialization
Citations

This map shows the geographic impact of T. Markley'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 T. Markley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Markley more than expected).

Fields of papers citing papers by T. Markley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Markley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Markley Line = papers co-authored together T. Markley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011143
2 2006115
3 2011107
4 2010104
5 200693
6 201393
7 201076
8 200872
9 201269
10 201067
11 201252
12 200539
13 200739
14 201023
15 201022
16 201118
17 200917
18 201416
19 20109
20 20066

About T. Markley

T. Markley is a scholar working on Materials Chemistry, Archeology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (24 papers), Machine Learning in Materials Science (1 paper) and Cultural Heritage Materials Analysis (1 paper). The work is most often cited by research in Materials Chemistry (1k citations), Metals and Alloys (14 citations), Polymers and Plastics (58 citations), Electrochemistry (9 citations) and Biomaterials (31 citations). T. Markley has collaborated with scholars based in Australia, Netherlands and United Kingdom. Frequent co-authors include Anthony ewart Hughes, Maria Forsyth, Santiago J. García, J.M.C. Mol, Bruce R. W. Hinton, Tim H. Muster, Deborah Lau, Alexander M. Glenn, James I. Mardel and Simon G. Hardin. Their work appears in journals such as Corrosion Science, Electrochimica Acta, Progress in Organic Coatings, Surface and Interface Analysis and Electrochemical and Solid-State Letters.

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