James W. Rawlins

98 total papers · 1.1k total citations
57 papers, 878 citations indexed

About

James W. Rawlins is a scholar working on Materials Chemistry, Polymers and Plastics and Civil and Structural Engineering. According to data from OpenAlex, James W. Rawlins has authored 57 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 22 papers in Polymers and Plastics and 12 papers in Civil and Structural Engineering. Recurrent topics in James W. Rawlins's work include Corrosion Behavior and Inhibition (13 papers), Polymer composites and self-healing (11 papers) and Epoxy Resin Curing Processes (9 papers). James W. Rawlins is often cited by papers focused on Corrosion Behavior and Inhibition (13 papers), Polymer composites and self-healing (11 papers) and Epoxy Resin Curing Processes (9 papers). James W. Rawlins collaborates with scholars based in United States, Australia and Germany. James W. Rawlins's co-authors include Sharathkumar K. Mendon, Micah S. Black, Shelby F. Thames, Monoj Pramanik, S.S. Pathak, Ericka Ford, Trenton E. Gould, Scott G. Piland, Gregory P. Moriarty and John R. Scully and has published in prestigious journals such as Macromolecules, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

James W. Rawlins

56 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
James W. Rawlins 349 307 249 214 200 57 878
Guangming Lu 445 1.3× 404 1.3× 192 0.8× 163 0.8× 257 1.3× 37 1.0k
Umaprasana Ojha 439 1.3× 220 0.7× 188 0.8× 316 1.5× 196 1.0× 47 978
Qiwen Yong 390 1.1× 381 1.2× 264 1.1× 259 1.2× 146 0.7× 51 939
Chen Huan-qin 411 1.2× 249 0.8× 108 0.4× 230 1.1× 121 0.6× 91 825
Jialiang Zhou 239 0.7× 305 1.0× 249 1.0× 89 0.4× 308 1.5× 47 992
Xiaodong Zhou 458 1.3× 286 0.9× 194 0.8× 152 0.7× 109 0.5× 71 1.0k
Bing Liao 580 1.7× 237 0.8× 225 0.9× 296 1.4× 218 1.1× 40 972
Lei Wang 300 0.9× 241 0.8× 169 0.7× 155 0.7× 267 1.3× 51 840
Cristina Prisăcariu 773 2.2× 262 0.9× 175 0.7× 197 0.9× 188 0.9× 30 961
Qixin Zhou 579 1.7× 343 1.1× 257 1.0× 185 0.9× 300 1.5× 33 1.0k

Countries citing papers authored by James W. Rawlins

Since Specialization
Citations

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

Fields of papers citing papers by James W. Rawlins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Rawlins. 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 James W. Rawlins. The network helps show where James W. Rawlins may publish in the future.

Co-authorship network of co-authors of James W. Rawlins

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Rawlins. A scholar is included among the top collaborators of James W. Rawlins 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 James W. Rawlins. James W. Rawlins 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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