William J. MacKnight
- Polymers and Plastics top 0.1%
- Materials Chemistry top 2%
- Organic Chemistry top 1%
- Biomaterials top 0.5%
- Mechanical Engineering top 1%
- Co-authors
- Frank E. KaraszGerrit ten BrinkeMontgomery T. ShawZoran S. PetrovìćPellegrino MustoRichard S. SteinZoltan ZavargóShaw Ling Hsu
- Topics
- Polymer crystallization and properties (107 papers)Polymer Nanocomposites and Properties (82 papers)Synthesis and properties of polymers (37 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
William J. MacKnight
239 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Polymers and Plastics 5.8k
- Materials Chemistry 2.3k
- Organic Chemistry 1.7k
- Biomaterials 1.3k
- Mechanical Engineering 1.2k
Countries citing papers authored by William J. MacKnight
This map shows the geographic impact of William J. MacKnight'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 William J. MacKnight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. MacKnight more than expected).
Fields of papers citing papers by William J. MacKnight
This network shows the impact of papers produced by William J. MacKnight. 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 William J. MacKnight. The network helps show where William J. MacKnight may publish in the future.
Co-authorship network of co-authors of William J. MacKnight
This figure shows the co-authorship network connecting the top 25 collaborators of William J. MacKnight. A scholar is included among the top collaborators of William J. MacKnight 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 William J. MacKnight. William J. MacKnight is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 282 | |
| 2 | 15 | |
| 3 | 55 | |
| 4 | Synthesis Characterization and Miscibility of Polyvinyl Butyrals of Varying Vinyl Alcohol Contents | 13 |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | 23 | |
| 10 | Solid-state High-resolution C-13 Nuclear-magnetic-resonance Spectra of Syndiotactic Poly(p-methyl Styrene) | 4 |
| 11 | 10 | |
| 12 | 87 | |
| 13 | 73 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | Studies of Polyurethanes and Epoxy Curing Reactions. | 0 |
| 17 | 15 | |
| 18 | 51 | |
| 19 | 10 | |
| 20 | 12 |
About William J. MacKnight
William J. MacKnight is a scholar working on Polymers and Plastics, Fluid Flow and Transfer Processes and Biomaterials, having authored 240 papers that have together received 8.2k indexed citations. Recurring topics across this work include Polymer crystallization and properties (107 papers), Polymer Nanocomposites and Properties (82 papers) and Synthesis and properties of polymers (37 papers). The work is most often cited by research in Polymers and Plastics (5.8k citations), Biomaterials (1.3k citations) and Fluid Flow and Transfer Processes (513 citations). William J. MacKnight has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Frank E. Karasz, Gerrit ten Brinke, Montgomery T. Shaw, Zoran S. Petrovìć, Pellegrino Musto, Richard S. Stein, Zoltan Zavargó, Shaw Ling Hsu, Gaetano Guerra and H. Henning Winter. Their work appears in journals such as Journal of Applied Physics, Physics Today and Journal of The Electrochemical Society.
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.