Juerg Diemand

24 total papers · 1.3k total citations
12 papers, 497 citations indexed

About

Juerg Diemand is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Juerg Diemand has authored 12 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 7 papers in Nuclear and High Energy Physics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Juerg Diemand's work include Dark Matter and Cosmic Phenomena (7 papers), Cosmology and Gravitation Theories (7 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). Juerg Diemand is often cited by papers focused on Dark Matter and Cosmic Phenomena (7 papers), Cosmology and Gravitation Theories (7 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). Juerg Diemand collaborates with scholars based in Switzerland, United States and Germany. Juerg Diemand's co-authors include Ben Moore, Piero Madau, Donnino Anderhalden, Manoj Kaplinghat, M. Kuhlen, Louis E. Strigari, James S. Bullock, Joachim Stadel, Stelios Kazantzidis and Aurel Schneider and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

Juerg Diemand

12 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Juerg Diemand 458 237 129 43 20 12 497
Xiao-Ming Fan 479 1.0× 166 0.7× 73 0.6× 33 0.8× 23 1.1× 10 520
M Sahlén 566 1.2× 171 0.7× 236 1.8× 28 0.7× 15 0.8× 20 583
Vikram Khaire 512 1.1× 193 0.8× 104 0.8× 28 0.7× 23 1.1× 25 542
J. Retzlaff 511 1.1× 156 0.7× 208 1.6× 47 1.1× 17 0.8× 19 537
A. Ortiz‐Gil 574 1.3× 198 0.8× 195 1.5× 18 0.4× 19 0.9× 20 596
Alexey Voevodkin 512 1.1× 179 0.8× 182 1.4× 22 0.5× 12 0.6× 6 524
I. Tereno 538 1.2× 214 0.9× 122 0.9× 30 0.7× 50 2.5× 19 556
M. Bolte 505 1.1× 170 0.7× 121 0.9× 14 0.3× 23 1.1× 6 525
A. Lawrence 491 1.1× 123 0.5× 214 1.7× 25 0.6× 9 0.5× 11 502
E. J. Lloyd-Davies 520 1.1× 126 0.5× 238 1.8× 16 0.4× 20 1.0× 12 529

Countries citing papers authored by Juerg Diemand

Since Specialization
Citations

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

Fields of papers citing papers by Juerg Diemand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juerg Diemand

This figure shows the co-authorship network connecting the top 25 collaborators of Juerg Diemand. A scholar is included among the top collaborators of Juerg Diemand 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 Juerg Diemand. Juerg Diemand 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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