Tiberiu Teşileanu

1.7k total citations
13 papers, 971 citations indexed

About

Tiberiu Teşileanu is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, Tiberiu Teşileanu has authored 13 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Astronomy and Astrophysics and 3 papers in Molecular Biology. Recurrent topics in Tiberiu Teşileanu's work include Black Holes and Theoretical Physics (5 papers), Cosmology and Gravitation Theories (4 papers) and Neural dynamics and brain function (2 papers). Tiberiu Teşileanu is often cited by papers focused on Black Holes and Theoretical Physics (5 papers), Cosmology and Gravitation Theories (4 papers) and Neural dynamics and brain function (2 papers). Tiberiu Teşileanu collaborates with scholars based in United States, Italy and France. Tiberiu Teşileanu's co-authors include Silviu S. Pufu, Christopher P. Herzog, Igor R. Klebanov, Steven S. Gubser, Eric S. Lander, Tarjei S. Mikkelsen, Li Wang, Peter Rogov, Alexandre Melnikov and Xiaolan Zhang and has published in prestigious journals such as Physical Review Letters, Nature Biotechnology and eLife.

In The Last Decade

Tiberiu Teşileanu

13 papers receiving 950 citations

Peers

Tiberiu Teşileanu

NHEP

GENET

SNP

Erik Plahte Norway

Yuji Satoh Japan

Sophie de Buyl Belgium

Keun-Young Kim South Korea

Dmitry Krotov United States

Kyle Gustafson Switzerland

Takuma Yamada Japan

Robert C. Helling Germany

Jessica Turner United Kingdom

Tilman Sauer Germany

Erik Plahte Norway

Tiberiu Teşileanu

776 ×1.5

84 ×0.2

NHEP

30 ×0.1

354 ×2.1

GENET

148 ×1.1

SNP

Citations per year, relative to Tiberiu Teşileanu Tiberiu Teşileanu (= 1×) peers Erik Plahte

Countries citing papers authored by Tiberiu Teşileanu

Since Specialization

Citations

This map shows the geographic impact of Tiberiu Teşileanu'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 Tiberiu Teşileanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiberiu Teşileanu more than expected).

Fields of papers citing papers by Tiberiu Teşileanu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiberiu Teşileanu. 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 Tiberiu Teşileanu. The network helps show where Tiberiu Teşileanu may publish in the future.

Co-authorship network of co-authors of Tiberiu Teşileanu

This figure shows the co-authorship network connecting the top 25 collaborators of Tiberiu Teşileanu. A scholar is included among the top collaborators of Tiberiu Teşileanu 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 Tiberiu Teşileanu. Tiberiu Teşileanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Golkar, Siavash, et al.. (2023). An Online Algorithm for Contrastive Principal Component Analysis. 1–5. 1 indexed citations

Teşileanu, Tiberiu, et al.. (2022). Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Computation. 34(4). 891–938. 1 indexed citations

Teşileanu, Tiberiu, Eugenio Piasini, & Vijay Balasubramanian. (2022). Efficient processing of natural scenes in visual cortex. Frontiers in Cellular Neuroscience. 16. 1006703–1006703. 4 indexed citations

Teşileanu, Tiberiu, Simona Cocco, Rémi Monasson, & Vijay Balasubramanian. (2019). Adaptation of olfactory receptor abundances for efficient coding. eLife. 8. 19 indexed citations

Bradde, Serena, Marija Vucelja, Tiberiu Teşileanu, & Vijay Balasubramanian. (2017). Dynamics of adaptive immunity against phage in bacterial populations. PLoS Computational Biology. 13(4). e1005486–e1005486. 20 indexed citations

Teşileanu, Tiberiu, Bence P. Ölveczky, & Vijay Balasubramanian. (2017). Rules and mechanisms for efficient two-stage learning in neural circuits. eLife. 6. 20 indexed citations

Teşileanu, Tiberiu, Lucy J. Colwell, & Stanislas Leibler. (2015). Protein Sectors: Statistical Coupling Analysis versus Conservation. PLoS Computational Biology. 11(2). e1004091–e1004091. 62 indexed citations

Melnikov, Alexandre, Anand Murugan, Xiaolan Zhang, et al.. (2012). Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay. Nature Biotechnology. 30(3). 271–277. 481 indexed citations

Herzog, Christopher P., Igor R. Klebanov, Silviu S. Pufu, & Tiberiu Teşileanu. (2011). Multimatrix models and tri-Sasaki Einstein spaces. Physical review. D. Particles, fields, gravitation, and cosmology. 83(4). 153 indexed citations

10.

Klebanov, Igor R., Silviu S. Pufu, & Tiberiu Teşileanu. (2010). Membranes with topological charge andAdS4/CFT3correspondence. Physical review. D. Particles, fields, gravitation, and cosmology. 81(12). 20 indexed citations

11.

Herzog, Christopher P., Igor R. Klebanov, Silviu S. Pufu, & Tiberiu Teşileanu. (2010). Emergent quantum near-criticality from baryonic black branes. Journal of High Energy Physics. 2010(3). 23 indexed citations

12.

Gubser, Steven S., Christopher P. Herzog, Silviu S. Pufu, & Tiberiu Teşileanu. (2009). Superconductors from Superstrings. Physical Review Letters. 103(14). 141601–141601. 152 indexed citations

13.

Helling, Robert C., Peter Schupp, & Tiberiu Teşileanu. (2006). CMB statistical anisotropy, multipole vectors, and the influence of the dipole. Physical review. D. Particles, fields, gravitation, and cosmology. 74(6). 15 indexed citations

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.

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