T. Markley
Impact in
- Materials Chemistry top 2%
- Corrosion Behavior and Inhibition
- Machine Learning in Materials Science
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- Polymer composites and self-healing
Papers in
-
- Corrosion Behavior and Inhibition 24
- Machine Learning in Materials Science 1
- Co-authors
- Anthony ewart Hughes (16 shared papers)Maria Forsyth (11 shared papers)Santiago J. García (8 shared papers)J.M.C. Mol (8 shared papers)Bruce R. W. Hinton (7 shared papers)Tim H. Muster (10 shared papers)Deborah Lau (8 shared papers)Alexander M. Glenn (8 shared papers)
- Journals
- Corrosion Science (5 papers)Electrochimica Acta (4 papers)Progress in Organic Coatings (2 papers)Surface and Interface Analysis (2 papers)Electrochemical and Solid-State Letters (2 papers)
- Partner nations
- AustraliaNetherlandsUnited Kingdom
In The Last Decade
T. Markley
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 30
- Materials Chemistry 909
- Polymers and Plastics 36
- Electrochemistry 7
- Metals and Alloys 4
- Renewable Energy, Sustainability and the Environment 28
Countries citing papers authored by T. Markley
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
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 143 | |
| 2 | 2006 | 115 | |
| 3 | 2011 | 107 | |
| 4 | 2010 | 104 | |
| 5 | 2006 | 93 | |
| 6 | 2013 | 93 | |
| 7 | 2010 | 76 | |
| 8 | 2008 | 72 | |
| 9 | 2012 | 69 | |
| 10 | 2010 | 67 | |
| 11 | 2012 | 52 | |
| 12 | 2005 | 39 | |
| 13 | 2007 | 39 | |
| 14 | 2010 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2011 | 18 | |
| 17 | 2009 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2010 | 9 | |
| 20 | 2006 | 6 |
About T. Markley
T. Markley is a scholar working on Materials Chemistry, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (24 papers) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Materials Chemistry (909 citations), Polymers and Plastics (36 citations), Electrochemistry (7 citations), Metals and Alloys (4 citations) and Renewable Energy, Sustainability and the Environment (28 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.