Aníbal D. Medina

759 total citations
27 papers, 504 citations indexed

About

Aníbal D. Medina is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Aníbal D. Medina has authored 27 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Nuclear and High Energy Physics, 13 papers in Astronomy and Astrophysics and 2 papers in Artificial Intelligence. Recurrent topics in Aníbal D. Medina's work include Particle physics theoretical and experimental studies (27 papers), Cosmology and Gravitation Theories (13 papers) and Dark Matter and Cosmic Phenomena (11 papers). Aníbal D. Medina is often cited by papers focused on Particle physics theoretical and experimental studies (27 papers), Cosmology and Gravitation Theories (13 papers) and Dark Matter and Cosmic Phenomena (11 papers). Aníbal D. Medina collaborates with scholars based in United States, Argentina and Australia. Aníbal D. Medina's co-authors include Carlos E. M. Wagner, Nausheen R. Shah, Tony Gherghetta, Michael A. Schmidt, Benedict von Harling, Marcela Carena, Nicole F. Bell, Yi Cai, B. Panes and Rebecca K. Leane and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and The European Physical Journal C.

In The Last Decade

Aníbal D. Medina

27 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aníbal D. Medina United States 11 497 237 13 10 9 27 504
Oleksii Matsedonskyi Germany 11 450 0.9× 199 0.8× 18 1.4× 13 1.3× 10 1.1× 17 464
K. J. de Vries Switzerland 8 454 0.9× 250 1.1× 10 0.8× 15 1.5× 6 0.7× 8 460
Enrico Bertuzzo Brazil 14 558 1.1× 171 0.7× 20 1.5× 14 1.4× 10 1.1× 34 561
Rakhi Mahbubani Switzerland 11 459 0.9× 228 1.0× 18 1.4× 11 1.1× 5 0.6× 16 467
Thomas Flacke South Korea 15 622 1.3× 201 0.8× 7 0.5× 12 1.2× 14 1.6× 32 625
Sofiane M. Boucenna Spain 16 733 1.5× 202 0.9× 9 0.7× 18 1.8× 7 0.8× 18 738
David Pinner United States 5 512 1.0× 328 1.4× 7 0.5× 10 1.0× 10 1.1× 7 545
Kodai Sakurai Japan 12 380 0.8× 131 0.6× 12 0.9× 10 1.0× 10 1.1× 25 384
Tirtha Sankar Ray India 13 377 0.8× 219 0.9× 20 1.5× 8 0.8× 10 1.1× 34 389
Heather E. Logan Canada 11 639 1.3× 178 0.8× 10 0.8× 15 1.5× 6 0.7× 18 641

Countries citing papers authored by Aníbal D. Medina

Since Specialization
Citations

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

Fields of papers citing papers by Aníbal D. Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aníbal D. Medina. 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 Aníbal D. Medina. The network helps show where Aníbal D. Medina may publish in the future.

Co-authorship network of co-authors of Aníbal D. Medina

This figure shows the co-authorship network connecting the top 25 collaborators of Aníbal D. Medina. A scholar is included among the top collaborators of Aníbal D. Medina 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 Aníbal D. Medina. Aníbal D. Medina 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.
Rold, Leandro Da, et al.. (2025). Testing the lepton content of the proton at HERA and EIC. Journal of High Energy Physics. 2025(1). 1 indexed citations
2.
Arganda, E., et al.. (2022). Towards a method to anticipate dark matter signals with deep learning at the LHC. SciPost Physics. 12(2). 6 indexed citations
3.
Arganda, E., et al.. (2022). Discovery and Exclusion Prospects for Staus Produced by Heavy Higgs Boson Decays at the LHC. Advances in High Energy Physics. 2022. 1–21. 4 indexed citations
4.
Arganda, E., et al.. (2022). A method for approximating optimal statistical significances with machine-learned likelihoods. The European Physical Journal C. 82(11). 11 indexed citations
5.
Arganda, E., et al.. (2021). Interpretation of LHC excesses in ditop and ditau channels as a 400-GeV pseudoscalar resonance. arXiv (Cornell University). 5 indexed citations
6.
Lavignac, Stéphane & Aníbal D. Medina. (2021). Displaced vertex signatures of a pseudo-Goldstone sterile neutrino. Journal of High Energy Physics. 2021(1). 2 indexed citations
7.
Arganda, E., et al.. (2019). Constraining R-axion models through dijet searches at the LHC. Physics Letters B. 789. 575–581. 4 indexed citations
8.
Arganda, E., et al.. (2018). Potential discovery of staus through heavy Higgs boson decays at the LHC. Americanae (AECID Library). 9 indexed citations
9.
Medina, Aníbal D. & Michael A. Schmidt. (2017). Enlarging regions of the MSSM parameter space for large tan β via SUSY decays of the heavy Higgs bosons. Journal of High Energy Physics. 2017(8). 5 indexed citations
10.
Cox, Peter, Aníbal D. Medina, Tirtha Sankar Ray, & Andrew Spray. (2016). Novel collider and dark matter phenomenology of a top-philic Z ′. Journal of High Energy Physics. 2016(6). 13 indexed citations
11.
Gherghetta, Tony, et al.. (2015). SUSY implications from WIMP annihilation into scalars at the Galactic Center. Physical review. D. Particles, fields, gravitation, and cosmology. 91(10). 29 indexed citations
12.
Bell, Nicole F., Yi Cai, & Aníbal D. Medina. (2014). Co-annihilating dark matter: Effective operator analysis and collider phenomenology. Physical review. D. Particles, fields, gravitation, and cosmology. 89(11). 26 indexed citations
13.
Bell, Nicole F., Yi Cai, Rebecca K. Leane, & Aníbal D. Medina. (2014). Leptophilic dark matter withZ′interactions. Physical review. D. Particles, fields, gravitation, and cosmology. 90(3). 42 indexed citations
14.
Medina, Aníbal D. & Eduardo Pontón. (2013). Warped Radion Dark Matter. 6 indexed citations
15.
Gherghetta, Tony, Benedict von Harling, Aníbal D. Medina, & Michael A. Schmidt. (2013). The scale-invariant NMSSM and the 126 GeV Higgs boson. Journal of High Energy Physics. 2013(2). 83 indexed citations
16.
Medina, Aníbal D., Nausheen R. Shah, & Carlos E. M. Wagner. (2009). Heavy Higgs boson with a light sneutrino next-to-lightest supersymmetric particle in the MSSM with enhancedSU(2)D-terms. Physical review. D. Particles, fields, gravitation, and cosmology. 80(1). 14 indexed citations
17.
Carena, Marcela, Aníbal D. Medina, B. Panes, Nausheen R. Shah, & Carlos E. M. Wagner. (2008). Collider phenomenology of Gauge-Higgs unification scenarios in warped extra dimensions. Physical review. D. Particles, fields, gravitation, and cosmology. 77(7). 61 indexed citations
18.
Medina, Aníbal D., Nausheen R. Shah, & Carlos E. M. Wagner. (2007). Gauge-Higgs unification and radiative electroweak symmetry breaking in warped extra dimensions. Physical review. D. Particles, fields, gravitation, and cosmology. 76(9). 100 indexed citations
19.
Medina, Aníbal D. & Carlos E. M. Wagner. (2006). Soft Leptogenesis in Warped Extra Dimensions. 13 indexed citations
20.
Correa, Diego H., Aníbal D. Medina, E. F. Moreno, & F Schaposnik. (2003). Dyons inN=4gauged supergravity. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 68(10). 1 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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