Moshe Dolejsi
Impact in
- Surfaces, Coatings and Films top 10%
- Polymer Surface Interaction Studies
-
- Conducting polymers and applications
Papers in
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- Polymer Surface Interaction Studies 3
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- Block Copolymer Self-Assembly 13
- Machine Learning in Materials Science 4
- Co-authors
- Paul F. NealeyJuan PabloYu KambeGordon S. W. CraigShrayesh N. PatelBan Xuan DongDaniel SharonPeter Bennington
- Journals
- ACS Nano (3 papers)Macromolecules (1 paper)Molecular Systems Design & Engineering (1 paper)Soft Matter (1 paper)Journal of The Electrochemical Society (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Moshe Dolejsi
17 papers receiving 419 citations
Peers
Comparison fields: 5 of 41
- Surfaces, Coatings and Films 61
- Polymers and Plastics 91
- Electrical and Electronic Engineering 235
- Materials Chemistry 188
- Organic Chemistry 95
Countries citing papers authored by Moshe Dolejsi
This map shows the geographic impact of Moshe Dolejsi'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 Moshe Dolejsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Dolejsi more than expected).
Fields of papers citing papers by Moshe Dolejsi
This network shows the impact of papers produced by Moshe Dolejsi. 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 Moshe Dolejsi. The network helps show where Moshe Dolejsi may publish in the future.
Co-authors
The 25 scholars most cited alongside Moshe Dolejsi, 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 | 2022 | 53 | |
| 2 | 2022 | 11 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 10 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 54 | |
| 9 | 2019 | 9 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 50 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 55 |
About Moshe Dolejsi
Moshe Dolejsi is a scholar working on Surfaces, Coatings and Films, Materials Chemistry, Organic Chemistry, Molecular Medicine and Fluid Flow and Transfer Processes, having authored 17 papers that have together received 422 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (13 papers), Advanced Polymer Synthesis and Characterization (6 papers), Advanced Battery Materials and Technologies (5 papers), Fuel Cells and Related Materials (5 papers), Machine Learning in Materials Science (4 papers), Advancements in Photolithography Techniques (3 papers), Polymer Surface Interaction Studies (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (61 citations), Polymers and Plastics (91 citations), Electrical and Electronic Engineering (235 citations), Materials Chemistry (188 citations) and Organic Chemistry (95 citations). Moshe Dolejsi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Paul F. Nealey, Juan Pablo, Yu Kambe, Gordon S. W. Craig, Shrayesh N. Patel, Ban Xuan Dong, Daniel Sharon, Peter Bennington, Christopher G. Arges and Jiaxing Ren. Their work appears in journals such as ACS Nano, Macromolecules, Molecular Systems Design & Engineering, Soft Matter 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.