Azadeh Nematzadeh
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Radiology, Nuclear Medicine and Imaging
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Yong‐Yeol AhnAlessandro FlamminiEmilio FerraraJoaquín GoñiPatric HagmannAlessandra GriffaRichard F. BetzelBratislav Mišić
- Topics
- Complex Network Analysis Techniques (5 papers)Opinion Dynamics and Social Influence (3 papers)Biomedical Text Mining and Ontologies (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Azadeh Nematzadeh
15 papers receiving 519 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 216
- Statistical and Nonlinear Physics 195
- Radiology, Nuclear Medicine and Imaging 99
- Sociology and Political Science 93
- Artificial Intelligence 62
Countries citing papers authored by Azadeh Nematzadeh
This map shows the geographic impact of Azadeh Nematzadeh'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 Azadeh Nematzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azadeh Nematzadeh more than expected).
Fields of papers citing papers by Azadeh Nematzadeh
This network shows the impact of papers produced by Azadeh Nematzadeh. 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 Azadeh Nematzadeh. The network helps show where Azadeh Nematzadeh may publish in the future.
Co-authorship network of co-authors of Azadeh Nematzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Azadeh Nematzadeh. A scholar is included among the top collaborators of Azadeh Nematzadeh 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 Azadeh Nematzadeh. Azadeh Nematzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 221 | |
| 7 | Optimal network clustering for information diffusion. | 2 |
| 8 | 211 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | Testing extensive use of NER tools in article classification and a statistical approach for method interaction extraction in the protein-protein interaction literature | 3 |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 2 | |
| 15 | 2 |
About Azadeh Nematzadeh
Azadeh Nematzadeh is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Health Information Management, having authored 15 papers that have together received 535 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (195 citations), Cognitive Neuroscience (216 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Azadeh Nematzadeh has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Yong‐Yeol Ahn, Alessandro Flammini, Emilio Ferrara, Joaquín Goñi, Patric Hagmann, Alessandra Griffa, Richard F. Betzel, Bratislav Mišić, Olaf Sporns and L. Jean Camp. Their work appears in journals such as Physical Review Letters, Neuron and BMC Bioinformatics.
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.