Jasmina Omić
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 5
-
- Graph theory and applications 3
- Co-authors
- Piet Van Mieghem (8 shared papers)Robert E. Kooij (4 shared papers)Ariel Orda (1 shared paper)Éric Gourdin (1 shared paper)
- Journals
- IEEE/ACM Transactions on Networking (1 paper)Data Archiving and Networked Services (DANS) (1 paper)Research Repository (Delft University of Technology) (1 paper)
- Partner nations
- NetherlandsFranceIsrael
In The Last Decade
Jasmina Omić
8 papers receiving 769 citations
Jasmina Omić's Hit Papers
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 602
- Modeling and Simulation 192
- Computer Networks and Communications 206
- Public Health, Environmental and Occupational Health 200
- Experimental and Cognitive Psychology 72
Countries citing papers authored by Jasmina Omić
This map shows the geographic impact of Jasmina Omić'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 Jasmina Omić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmina Omić more than expected).
Fields of papers citing papers by Jasmina Omić
This network shows the impact of papers produced by Jasmina Omić. 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 Jasmina Omić. The network helps show where Jasmina Omić may publish in the future.
Co-authors
The 4 scholars most cited alongside Jasmina Omić, 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 | Virus Spread in Networks Hit paper breakdown → | 2008 | 684 |
| 2 | 2009 | 61 | |
| 3 | 2011 | 30 | |
| 4 | 2010 | 13 | |
| 5 | Epidemics in Networks: Modeling, Optimization and Security Games | 2010 | 8 |
| 6 | 2007 | 4 | |
| 7 | Pandemics and networks: The case of the Mexican flu | 2010 | 2 |
| 8 | Heterogeneous Protection in Regular and Complete Bi-partite Networks (Work in Progress) | 2009 | 1 |
| 9 | 2007 | 0 |
About Jasmina Omić
Jasmina Omić is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Computer Networks and Communications, Discrete Mathematics and Combinatorics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 803 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers), Graph theory and applications (3 papers), Game Theory and Applications (2 papers), Limits and Structures in Graph Theory (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), COVID-19 epidemiological studies (1 paper) and Opportunistic and Delay-Tolerant Networks (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (602 citations), Modeling and Simulation (192 citations), Computer Networks and Communications (206 citations), Public Health, Environmental and Occupational Health (200 citations) and Experimental and Cognitive Psychology (72 citations). Jasmina Omić has collaborated with scholars based in Netherlands, France and Israel. Frequent co-authors include Piet Van Mieghem, Robert E. Kooij, Ariel Orda and Éric Gourdin. Their work appears in journals such as IEEE/ACM Transactions on Networking, Data Archiving and Networked Services (DANS) and Research Repository (Delft University of 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.