Lia Papadopoulos
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology
- Radiology, Nuclear Medicine and Imaging
- Statistical and Nonlinear Physics
- Computational Mechanics
- Co-authors
- Danielle S. BassettKaren E. DanielsJames G. PuckettGraham L. BaumDavid R. RoalfTheodore D. SatterthwaiteRichard F. BetzelRaquel E. Gur
- Topics
- Functional Brain Connectivity Studies (2 papers)Neural dynamics and brain function (2 papers)Slime Mold and Myxomycetes Research (2 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyStatistical and Nonlinear Physics
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Lia Papadopoulos
6 papers receiving 239 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 148
- Experimental and Cognitive Psychology 43
- Radiology, Nuclear Medicine and Imaging 38
- Statistical and Nonlinear Physics 28
- Computational Mechanics 27
Countries citing papers authored by Lia Papadopoulos
This map shows the geographic impact of Lia Papadopoulos'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 Lia Papadopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lia Papadopoulos more than expected).
Fields of papers citing papers by Lia Papadopoulos
This network shows the impact of papers produced by Lia Papadopoulos. 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 Lia Papadopoulos. The network helps show where Lia Papadopoulos may publish in the future.
Co-authorship network of co-authors of Lia Papadopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Lia Papadopoulos. A scholar is included among the top collaborators of Lia Papadopoulos 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 Lia Papadopoulos. Lia Papadopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | Human Information Processing in Complex Networks | 1 |
| 4 | 14 | |
| 5 | 104 | |
| 6 | 34 | |
| 7 | 60 |
About Lia Papadopoulos
Lia Papadopoulos is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 7 papers that have together received 242 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers) and Slime Mold and Myxomycetes Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (148 citations), Experimental and Cognitive Psychology (43 citations) and Statistical and Nonlinear Physics (28 citations). Lia Papadopoulos has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Danielle S. Bassett, Karen E. Daniels, James G. Puckett, Graham L. Baum, David R. Roalf, Theodore D. Satterthwaite, Richard F. Betzel, Raquel E. Gur, John D. Medaglia and Ruben C. Gur. Their work appears in journals such as Neuron, PLoS Computational Biology and Physical review. E.
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.