Maeve Madigan

594 citations
15 papers · 401 indexed · 1 hit paper · h-index 9

Maeve Madigan

14 papers receiving 394 citations

Hit Papers

Top, Higgs, diboson and electroweak fit to the Standard M...161202020262022202450100150

Peers

Maeve Madigan
Comparison fields: 5 of 25
  • Nuclear and High Energy Physics 381
  • Astronomy and Astrophysics 59
  • Artificial Intelligence 30
  • Statistics and Probability 5
  • Information Systems and Management 4
Replace Giacomo Magni with:
Giacomo Magni Netherlands
Christian T. Preuss Switzerland
Christfried Focke United States
Keping Xie United States
Luca Mantani United Kingdom
Emma Slade United Kingdom
Leif Gellersen Sweden
Marius Utheim Sweden
Smita Chakraborty Sweden
Cameron Voisey United Kingdom
Maeve Madigan relative to Giacomo Magni Netherlands Giacomo Magni's profile →
Citations per field
00.5×1.5×2.3×
Giacomo Magni · 1×
Citations per year

Countries citing papers authored by Maeve Madigan

Since Specialization
Citations

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

Fields of papers citing papers by Maeve Madigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Maeve Madigan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maeve Madigan Line = papers co-authored together Maeve Madigan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20251
2 20240
3 20246
4 20247
5 20241
6 202316
7 202333
8 202320
9 202320
10 20221
11 202245
12 202211
13 202153
14
Top, Higgs, diboson and electroweak fit to the Standard Model effective field theorybreakdown →
2020161
15 201926

About Maeve Madigan

Maeve Madigan is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistics and Probability, having authored 15 papers that have together received 401 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (15 papers), High-Energy Particle Collisions Research (10 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Dark Matter and Cosmic Phenomena (3 papers), Cosmology and Gravitation Theories (2 papers), Markov Chains and Monte Carlo Methods (1 paper), Particle Detector Development and Performance (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (381 citations), Astronomy and Astrophysics (59 citations) and Artificial Intelligence (30 citations). Maeve Madigan has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Verónica Sanz, Tevong You, Ken Mimasu, John Ellis, Maria Ubiali, James W. Moore, Juan Rojo, Zahari Kassabov, Luca Mantani and B. C. Allanach. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C and SciPost Physics.

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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