Adrian Tanasă

1.5k total citations
36 papers, 354 citations indexed

About

Adrian Tanasă is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Geometry and Topology. According to data from OpenAlex, Adrian Tanasă has authored 36 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistical and Nonlinear Physics, 19 papers in Nuclear and High Energy Physics and 12 papers in Geometry and Topology. Recurrent topics in Adrian Tanasă's work include Noncommutative and Quantum Gravity Theories (21 papers), Black Holes and Theoretical Physics (19 papers) and Algebraic structures and combinatorial models (10 papers). Adrian Tanasă is often cited by papers focused on Noncommutative and Quantum Gravity Theories (21 papers), Black Holes and Theoretical Physics (19 papers) and Algebraic structures and combinatorial models (10 papers). Adrian Tanasă collaborates with scholars based in France, Romania and Canada. Adrian Tanasă's co-authors include Vincent Rivasseau, Valentin Bonzom, Thomas Krajewski, Razvan Gurău, Patrizia Vitale, Éric Fusy, James P. Ryan, J. Le Magnen, Jean-Christophe Wallet and Dirk Kreimer and has published in prestigious journals such as Journal of High Energy Physics, Europhysics Letters (EPL) and Physical review. D.

In The Last Decade

Adrian Tanasă

34 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adrian Tanasă France 10 251 247 111 91 43 36 354
Scott Collier United States 12 441 1.8× 209 0.8× 235 2.1× 95 1.0× 50 1.2× 20 506
A. Yu. Morozov Russia 13 246 1.0× 141 0.6× 66 0.6× 152 1.7× 104 2.4× 20 362
Sylvain Carrozza France 13 343 1.4× 292 1.2× 186 1.7× 49 0.5× 33 0.8× 19 403
James P. Ryan Germany 12 365 1.5× 364 1.5× 202 1.8× 31 0.3× 26 0.6× 16 399
Ömer Gürdoğan United Kingdom 11 424 1.7× 151 0.6× 104 0.9× 189 2.1× 58 1.3× 16 559
Konstantin Alkalaev Russia 16 644 2.6× 403 1.6× 361 3.3× 124 1.4× 50 1.2× 35 674
Bruno Le Floch France 8 448 1.8× 186 0.8× 157 1.4× 163 1.8× 43 1.0× 18 481
Abhijit Gadde United States 14 685 2.7× 240 1.0× 191 1.7× 269 3.0× 87 2.0× 19 755
Carlo Meneghelli Germany 14 361 1.4× 202 0.8× 80 0.7× 247 2.7× 44 1.0× 18 507
Aldo Riello Canada 10 394 1.6× 339 1.4× 261 2.4× 38 0.4× 27 0.6× 18 463

Countries citing papers authored by Adrian Tanasă

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Tanasă

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Tanasă

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

All Works

20 of 20 papers shown
1.
Tanasă, Adrian & Simona‐Vasilica Oprea. (2025). Rethinking Chart Understanding Using Multimodal Large Language Models. Computers, materials & continua/Computers, materials & continua (Print). 84(2). 2905–2933.
2.
Oriti, Daniele, et al.. (2024). Generalized Amit-Roginsky model from perturbations of 3D quantum gravity. Physical review. D. 109(6). 1 indexed citations
3.
Girelli, Florian, et al.. (2023). Group field theory on 2-groups. Physical review. D. 108(4). 1 indexed citations
4.
Krajewski, Thomas, et al.. (2023). Double scaling limit of the prismatic tensor model. Journal of Physics A Mathematical and Theoretical. 56(23). 235401–235401. 6 indexed citations
5.
Krajewski, Thomas, et al.. (2023). Duality of O(N) and Sp(N) random tensor models: tensors with symmetries. Journal of Physics A Mathematical and Theoretical. 56(49). 495206–495206. 2 indexed citations
6.
Bonzom, Valentin, et al.. (2022). Double scaling limit for the O ( N ) 3 -invariant tensor model. Journal of Physics A Mathematical and Theoretical. 55(13). 135201–135201. 3 indexed citations
7.
Carrozza, Sylvain, et al.. (2020). On the large D expansion of Hermitian multi-matrix models. Journal of Mathematical Physics. 61(7). 5 indexed citations
8.
Fusy, Éric, et al.. (2020). Combinatorial study of graphs arising from the Sachdev–Ye–Kitaev model. European Journal of Combinatorics. 86. 103066–103066. 6 indexed citations
9.
Aval, Jean-Christophe, et al.. (2020). The Hopf Monoid of Hypergraphs and its Sub-Monoids: Basic Invariant and Reciprocity Theorem. The Electronic Journal of Combinatorics. 27(1). 2 indexed citations
10.
Krajewski, Thomas, Iain Moffatt, & Adrian Tanasă. (2018). Hopf algebras and Tutte polynomials. Advances in Applied Mathematics. 95. 271–330. 7 indexed citations
11.
Carrozza, Sylvain & Adrian Tanasă. (2017). Pfaffians and nonintersecting paths in graphs with cycles: Grassmann algebra methods. Advances in Applied Mathematics. 93. 108–120. 3 indexed citations
12.
Gurău, Razvan, et al.. (2015). The double scaling limit of the multi-orientable tensor model. Europhysics Letters (EPL). 111(2). 21002–21002. 14 indexed citations
13.
Fusy, Éric & Adrian Tanasă. (2015). Asymptotic Expansion of the Multi-Orientable Random Tensor Model. The Electronic Journal of Combinatorics. 22(1). 15 indexed citations
14.
Tanasă, Adrian, et al.. (2014). Next-to-Leading Order in the Large N Expansion of the Multi-Orientable Random Tensor Model. Annales Henri Poincaré. 16(5). 1267–1281. 8 indexed citations
15.
Tanasă, Adrian & Dirk Kreimer. (2013). Combinatorial Dyson–Schwinger equations in noncommutative field theory. Journal of Noncommutative Geometry. 7(1). 255–289. 9 indexed citations
16.
Duchamp, Gérard, et al.. (2013). Renormalization group-like proof of the universality of the Tutte polynomial for matroids. Discrete Mathematics & Theoretical Computer Science. DMTCS Proceedings vol. AS,...(Proceedings). 1 indexed citations
17.
Rivasseau, Vincent, et al.. (2013). The 1/N Expansion of Multi-Orientable Random Tensor Models. Annales Henri Poincaré. 15(5). 965–984. 44 indexed citations
18.
Tanasă, Adrian. (2010). Translation-Invariant Noncommutative Renormalization. Symmetry Integrability and Geometry Methods and Applications. 3 indexed citations
19.
Krajewski, Thomas, et al.. (2010). Engle-Pereira-Rovelli-Livine模型とFreidel-Krasnov模型の群場の理論定式化における量子補正. Physical Review D. 82. 1–124069. 1 indexed citations
20.
Krajewski, Thomas, J. Le Magnen, Vincent Rivasseau, Adrian Tanasă, & Patrizia Vitale. (2010). Quantum corrections in the group field theory formulation of the Engle-Pereira-Rovelli-Livine and Freidel-Krasnov models. Physical review. D. Particles, fields, gravitation, and cosmology. 82(12). 36 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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