Francesca Chadha-Day

679 total citations
15 papers, 517 citations indexed

About

Francesca Chadha-Day is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Networks and Communications. According to data from OpenAlex, Francesca Chadha-Day has authored 15 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 11 papers in Astronomy and Astrophysics and 1 paper in Computer Networks and Communications. Recurrent topics in Francesca Chadha-Day's work include Dark Matter and Cosmic Phenomena (11 papers), Astrophysics and Cosmic Phenomena (8 papers) and Galaxies: Formation, Evolution, Phenomena (7 papers). Francesca Chadha-Day is often cited by papers focused on Dark Matter and Cosmic Phenomena (11 papers), Astrophysics and Cosmic Phenomena (8 papers) and Galaxies: Formation, Evolution, Phenomena (7 papers). Francesca Chadha-Day collaborates with scholars based in United Kingdom, Germany and Netherlands. Francesca Chadha-Day's co-authors include Joseph P. Conlon, Sven Krippendorf, Nicholas R. Jennings, H. J. Coles, Su Seok Choi, Damian J. Gardiner, Flynn Castles, S.M. Morris, Malik M. Qasim and Richard H. Friend and has published in prestigious journals such as Nature Materials, Monthly Notices of the Royal Astronomical Society and Physics Letters B.

In The Last Decade

Francesca Chadha-Day

14 papers receiving 504 citations

Peers

Francesca Chadha-Day
Comparison fields: 5 of 33
  • Nuclear and High Energy Physics 249
  • Electronic, Optical and Magnetic Materials 223
  • Astronomy and Astrophysics 208
  • Atomic and Molecular Physics, and Optics 181
  • Materials Chemistry 56
Replace T. Yoshioka with:
T. Yoshioka Japan
V. M. Dmitriev Ukraine
D. A. Kislov Russia
Claudia Gollner Austria
C. Reed United States
Denis Férachou France
Ranjeet S. Tate United States
A. Rijllart Switzerland
Shenxiu Liu United States
Steven Moffat Canada
T. Yoshioka Japan View profile →
Citations per field, relative to Francesca Chadha-Day
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Citations per year, relative to Francesca Chadha-Day
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Countries citing papers authored by Francesca Chadha-Day

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Chadha-Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Chadha-Day. 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 Francesca Chadha-Day. The network helps show where Francesca Chadha-Day may publish in the future.

Co-authorship network of co-authors of Francesca Chadha-Day

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 7
3 5
4 39
5 1
6 15
7 29
8 6
9 62
10 22
11 43
12 9
13 32
14 243
15 2

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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2026