Maxime Gabella

24 total papers · 439 total citations
12 papers, 155 citations indexed

About

Maxime Gabella is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Maxime Gabella has authored 12 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Maxime Gabella's work include Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (7 papers) and Noncommutative and Quantum Gravity Theories (4 papers). Maxime Gabella is often cited by papers focused on Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (7 papers) and Noncommutative and Quantum Gravity Theories (4 papers). Maxime Gabella collaborates with scholars based in United States, United Kingdom and France. Maxime Gabella's co-authors include James Sparks, Tony Gherghetta, Joel Giedt, Daniel Waldram, Jörg Teschner, Eran Palti, Jerome P. Gauntlett, Nick Halmagyi, Ibrahima Bah and Mariana Graña and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Journal of High Energy Physics.

In The Last Decade

Maxime Gabella

12 papers receiving 153 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maxime Gabella 117 60 47 37 24 12 155
Denis Karateev 179 1.5× 54 0.9× 47 1.0× 28 0.8× 13 0.5× 12 198
Damián Kaloni Mayorga Peña 182 1.6× 37 0.6× 32 0.7× 62 1.7× 55 2.3× 13 208
Philip A. Tuckey 110 0.9× 91 1.5× 105 2.2× 16 0.4× 10 0.4× 12 160
Monica Jinwoo Kang 114 1.0× 34 0.6× 51 1.1× 41 1.1× 13 0.5× 16 154
Robin Marzucca 197 1.7× 24 0.4× 25 0.5× 51 1.4× 29 1.2× 12 257
Antonio Bernal 109 0.9× 116 1.9× 60 1.3× 33 0.9× 39 1.6× 10 197
Yang Lei 134 1.1× 84 1.4× 59 1.3× 16 0.4× 16 0.7× 13 153
Maximilian Poretschkin 147 1.3× 39 0.7× 43 0.9× 76 2.1× 51 2.1× 11 174
Hans-Werner Wiesbrock 79 0.7× 43 0.7× 115 2.4× 56 1.5× 108 4.5× 18 223
Andrei Micu 221 1.9× 157 2.6× 87 1.9× 55 1.5× 28 1.2× 16 273

Countries citing papers authored by Maxime Gabella

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Gabella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Gabella

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

All Works

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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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