N. M. Švrakić
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics 38
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 18
- Clinical Psychology top 5%
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- Complex Network Analysis Techniques 7
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- Material Dynamics and Properties 10
- Block Copolymer Self-Assembly 6
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- Quantum many-body systems 6
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- nanoparticles nucleation surface interactions 5
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- Markov Chains and Monte Carlo Methods 5
- Co-authors
- C. Robert CloningerVladimir PrivmanDragan M. ŠvrakićRolf AdolfssonD. B. AbrahamMichael WortisSourav MannaClaire E. Hulsebosch
- Journals
- Journal of Statistical Physics (8 papers)Physical Review Letters (6 papers)Physical review. B, Condensed matter (6 papers)
- Partner nations
- United StatesSerbiaGermany
In The Last Decade
N. M. Švrakić
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Condensed Matter Physics 496
- Mathematical Physics 217
- Clinical Psychology 281
- Statistical and Nonlinear Physics 117
- Experimental and Cognitive Psychology 114
Countries citing papers authored by N. M. Švrakić
This map shows the geographic impact of N. M. Švrakić'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 N. M. Švrakić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. M. Švrakić more than expected).
Fields of papers citing papers by N. M. Švrakić
This network shows the impact of papers produced by N. M. Švrakić. 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 N. M. Švrakić. The network helps show where N. M. Švrakić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. M. Švrakić, 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 | 2018 | 13 | |
| 2 | 2013 | 28 | |
| 3 | 2013 | 3 | |
| 4 | 2012 | 51 | |
| 5 | 2012 | 25 | |
| 6 | 2011 | 16 | |
| 7 | Drug addiction and choice of drugs: Temperament and personality as risk factors | 2010 | 1 |
| 8 | 2010 | 24 | |
| 9 | 2005 | 65 | |
| 10 | 2003 | 21 | |
| 11 | 2002 | 92 | |
| 12 | 1997 | 156 | |
| 13 | 1992 | 2 | |
| 14 | 1991 | 52 | |
| 15 | 1989 | 2 | |
| 16 | 1989 | 11 | |
| 17 | 1988 | 17 | |
| 18 | 1988 | 7 | |
| 19 | 1982 | 15 | |
| 20 | 1980 | 30 |
About N. M. Švrakić
N. M. Švrakić is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (38 papers), Stochastic processes and statistical mechanics (18 papers), Material Dynamics and Properties (10 papers), Complex Network Analysis Techniques (7 papers), Quantum many-body systems (6 papers), Block Copolymer Self-Assembly (6 papers), nanoparticles nucleation surface interactions (5 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Condensed Matter Physics (496 citations), Mathematical Physics (217 citations) and Clinical Psychology (281 citations). N. M. Švrakić has collaborated with scholars based in United States, Serbia and Germany. Frequent co-authors include C. Robert Cloninger, Vladimir Privman, Dragan M. Švrakić, Rolf Adolfsson, D. B. Abraham, Michael Wortis, Sourav Manna, Claire E. Hulsebosch, J. R. Perez‐Polo and Karin N. Westlund. Their work appears in journals such as Journal of Statistical Physics, Physical Review Letters, Physical review. B, Condensed matter, The European Physical Journal B and Development and Psychopathology.
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.