Malbor Asllani
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Public Health, Environmental and Occupational Health
- Cognitive Neuroscience
- Molecular Biology
- Co-authors
- Timotéo CarlettiDuccio FanelliRenaud LambiotteJoseph D. ChallengerFrancesco S. PavoneLeonardo SacconiDaniel Maria BusielloJames P. Gleeson
- Topics
- Nonlinear Dynamics and Pattern Formation (12 papers)Complex Network Analysis Techniques (11 papers)Opinion Dynamics and Social Influence (9 papers)
In The Last Decade
Malbor Asllani
23 papers receiving 566 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 330
- Statistical and Nonlinear Physics 279
- Public Health, Environmental and Occupational Health 115
- Cognitive Neuroscience 92
- Molecular Biology 76
Countries citing papers authored by Malbor Asllani
This map shows the geographic impact of Malbor Asllani'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 Malbor Asllani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malbor Asllani more than expected).
Fields of papers citing papers by Malbor Asllani
This network shows the impact of papers produced by Malbor Asllani. 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 Malbor Asllani. The network helps show where Malbor Asllani may publish in the future.
Co-authorship network of co-authors of Malbor Asllani
This figure shows the co-authorship network connecting the top 25 collaborators of Malbor Asllani. A scholar is included among the top collaborators of Malbor Asllani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malbor Asllani. Malbor Asllani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 56 | |
| 12 | 16 | |
| 13 | 74 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | 90 | |
| 19 | 116 | |
| 20 | 8 |
About Malbor Asllani
Malbor Asllani is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Global and Planetary Change, having authored 25 papers that have together received 570 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Complex Network Analysis Techniques (11 papers) and Opinion Dynamics and Social Influence (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (279 citations), Computer Networks and Communications (330 citations) and Cognitive Neuroscience (92 citations). Malbor Asllani has collaborated with scholars based in Belgium, Italy and Ireland. Frequent co-authors include Timotéo Carletti, Duccio Fanelli, Renaud Lambiotte, Joseph D. Challenger, Francesco S. Pavone, Leonardo Sacconi, Daniel Maria Busiello, James P. Gleeson, Philip K. Maini and Cameron L. Hall. Their work appears in journals such as Physical Review Letters, Nature Communications and Scientific Reports.
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.