Ivan Kryven
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Polymer crystallization and properties
Papers in
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- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 5
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- Advanced Polymer Synthesis and Characterization 8
- Co-authors
- Piet D. Iedema (17 shared papers)Ariana Torres‐Knoop (2 shared papers)Ginestra Bianconi (4 shared papers)Robert M. Ziff (2 shared papers)Giuseppe Storti (1 shared paper)Stefano Lazzari (1 shared paper)Susanna Röblitz (1 shared paper)Àlex Arenas (1 shared paper)
- Journals
- Physical review. E (8 papers)Macromolecular Theory and Simulations (6 papers)Chemical Engineering Science (3 papers)Macromolecular Reaction Engineering (2 papers)Polymer (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Ivan Kryven
29 papers receiving 442 citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 114
- Polymers and Plastics 98
- Computational Mathematics 4
- Organic Chemistry 176
- Mathematical Physics 45
Countries citing papers authored by Ivan Kryven
This map shows the geographic impact of Ivan Kryven'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 Ivan Kryven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kryven more than expected).
Fields of papers citing papers by Ivan Kryven
This network shows the impact of papers produced by Ivan Kryven. 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 Ivan Kryven. The network helps show where Ivan Kryven may publish in the future.
Co-authors
The 19 scholars most cited alongside Ivan Kryven, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 57 | |
| 2 | 2019 | 31 | |
| 3 | 2012 | 30 | |
| 4 | 2014 | 29 | |
| 5 | 2014 | 26 | |
| 6 | 2016 | 24 | |
| 7 | 2019 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2013 | 17 | |
| 10 | 2017 | 17 | |
| 11 | 2013 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2017 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2019 | 10 |
About Ivan Kryven
Ivan Kryven is a scholar working on Statistical and Nonlinear Physics, Organic Chemistry, Molecular Biology, Mathematical Physics and Polymers and Plastics, having authored 35 papers that have together received 453 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Advanced Polymer Synthesis and Characterization (8 papers), Stochastic processes and statistical mechanics (7 papers), Analytical Chemistry and Chromatography (6 papers), Opinion Dynamics and Social Influence (5 papers), Polymer crystallization and properties (4 papers), Computational Drug Discovery Methods (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (114 citations), Polymers and Plastics (98 citations), Computational Mathematics (4 citations), Organic Chemistry (176 citations) and Mathematical Physics (45 citations). Ivan Kryven has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Piet D. Iedema, Ariana Torres‐Knoop, Ginestra Bianconi, Robert M. Ziff, Giuseppe Storti, Stefano Lazzari, Susanna Röblitz, Àlex Arenas, Christof Schütte and Prı́amo A. Melo. Their work appears in journals such as Physical review. E, Macromolecular Theory and Simulations, Chemical Engineering Science, Macromolecular Reaction Engineering and Polymer.
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.