Dan Popovici
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Applied Mathematics top 5%
- Geometry and Topology top 5%
- Co-authors
- Herbert JaegerMantas LukoševičiusZoltán SebestyénLuis UgarteSławomir DinewSperanța AvramVirgil PăunescuCorina Vernic
- Topics
- Geometry and complex manifolds (18 papers)Geometric Analysis and Curvature Flows (13 papers)Algebraic Geometry and Number Theory (12 papers)
In The Last Decade
Dan Popovici
29 papers receiving 797 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 594
- Electrical and Electronic Engineering 425
- Cognitive Neuroscience 155
- Applied Mathematics 150
- Geometry and Topology 136
Countries citing papers authored by Dan Popovici
This map shows the geographic impact of Dan Popovici'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 Dan Popovici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Popovici more than expected).
Fields of papers citing papers by Dan Popovici
This network shows the impact of papers produced by Dan Popovici. 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 Dan Popovici. The network helps show where Dan Popovici may publish in the future.
Co-authorship network of co-authors of Dan Popovici
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Popovici. A scholar is included among the top collaborators of Dan Popovici 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 Dan Popovici. Dan Popovici 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | An Observation Relative to a Paper by J. Xiao | 1 |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | Optimization and applications of echo state networks with leaky- integrator neuronsbreakdown → | 626 |
| 15 | Time Warping Invariant Echo State Networks | 30 |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 1 |
About Dan Popovici
Dan Popovici is a scholar working on Applied Mathematics, Geometry and Topology and Mathematical Physics, having authored 33 papers that have together received 840 indexed citations. Recurring topics across this work include Geometry and complex manifolds (18 papers), Geometric Analysis and Curvature Flows (13 papers) and Algebraic Geometry and Number Theory (12 papers). The work is most often cited by research in Artificial Intelligence (594 citations), Geometry and Topology (136 citations) and Applied Mathematics (150 citations). Dan Popovici has collaborated with scholars based in France, Romania and Hungary. Frequent co-authors include Herbert Jaeger, Mantas Lukoševičius, Zoltán Sebestyén, Luis Ugarte, Zoltán Sebestyén, Sławomir Dinew, Speranța Avram, Virgil Păunescu and Corina Vernic. Their work appears in journals such as Neural Networks, Journal of Mathematical Analysis and Applications and Inventiones mathematicae.
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.