Ben Blaiszik
Impact in
- Polymers and Plastics top 0.5%
- Polymer composites and self-healing
- Conducting polymers and applications
- Surfaces, Coatings and Films top 1%
- Surface Modification and Superhydrophobicity
Papers in
-
- Scientific Computing and Data Management 19
- Co-authors
- Nancy R. SottosScott R. WhiteJeffrey S. MooreSharlotte KramerSolar C. OlugebefolaMary M. CarusoIan FosterDavid A. McIlroy
- Journals
- Advanced Materials (4 papers)Advanced Functional Materials (3 papers)Microscopy and Microanalysis (3 papers)npj Computational Materials (2 papers)Composites Science and Technology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ben Blaiszik
70 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Polymers and Plastics 2.3k
- Surfaces, Coatings and Films 480
- Process Chemistry and Technology 174
- Biomaterials 522
- Organic Chemistry 1.1k
Countries citing papers authored by Ben Blaiszik
This map shows the geographic impact of Ben Blaiszik'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 Ben Blaiszik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Blaiszik more than expected).
Fields of papers citing papers by Ben Blaiszik
This network shows the impact of papers produced by Ben Blaiszik. 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 Ben Blaiszik. The network helps show where Ben Blaiszik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben Blaiszik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 49 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 24 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 36 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 34 | |
| 17 | 2014 | 52 | |
| 18 | 2012 | 132 | |
| 19 | 2010 | 58 | |
| 20 | Microencapsulation of polyfunctional amines for self-healing of epoxy-based composites | 2008 | 1 |
About Ben Blaiszik
Ben Blaiszik is a scholar working on Information Systems and Management, Structural Biology, Surfaces, Coatings and Films, Polymers and Plastics and Materials Chemistry, having authored 71 papers that have together received 4.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), Scientific Computing and Data Management (19 papers), Polymer composites and self-healing (16 papers), Computational Drug Discovery Methods (8 papers), Distributed and Parallel Computing Systems (8 papers), Research Data Management Practices (7 papers), Advanced Data Storage Technologies (6 papers) and Surface Modification and Superhydrophobicity (5 papers). The work is most often cited by research in Polymers and Plastics (2.3k citations), Surfaces, Coatings and Films (480 citations), Process Chemistry and Technology (174 citations), Biomaterials (522 citations) and Organic Chemistry (1.1k citations). Ben Blaiszik has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nancy R. Sottos, Scott R. White, Jeffrey S. Moore, Sharlotte Kramer, Solar C. Olugebefola, Mary M. Caruso, Ian Foster, David A. McIlroy, Kyle Chard and Marta Baginska. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, Microscopy and Microanalysis, npj Computational Materials and Composites Science and Technology.
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.