Mathias Luidor Heltberg

535 citations
23 papers · 336 indexed · h-index 10
Topics
Gene Regulatory Network Analysis (6 papers)Nonlinear Dynamics and Pattern Formation (4 papers)Neural dynamics and brain function (3 papers)

In The Last Decade

Mathias Luidor Heltberg

20 papers receiving 333 citations

Peers

Mathias Luidor Heltberg
Comparison fields: 5 of 80
  • Molecular Biology 219
  • Computer Networks and Communications 40
  • Statistical and Nonlinear Physics 39
  • Cognitive Neuroscience 34
  • Plant Science 29
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Joris Paijmans Netherlands
Anne K. Green United Kingdom
Adrián Jacobo United States
Mohammad Soltani United States
Dongkwan Shin South Korea
Yoon Sup Choi South Korea
Jeremy Chang United States
Kathy Chen United States
Hiroki Nagahara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mathias Luidor Heltberg

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Luidor Heltberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Luidor Heltberg. 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 Mathias Luidor Heltberg. The network helps show where Mathias Luidor Heltberg may publish in the future.

Co-authorship network of co-authors of Mathias Luidor Heltberg

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Luidor Heltberg. A scholar is included among the top collaborators of Mathias Luidor Heltberg 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 Mathias Luidor Heltberg. Mathias Luidor Heltberg 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 1
6 6
7 1
8 2
9 7
10 33
11 16
12 6
13 11
14 64
15 17
16 4
17 19
18 27
19 15
20 45

About Mathias Luidor Heltberg

Mathias Luidor Heltberg is a scholar working on Biological Psychiatry, Modeling and Simulation and Molecular Biology, having authored 23 papers that have together received 336 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biophysics (22 citations), Statistical and Nonlinear Physics (39 citations) and Molecular Biology (219 citations). Mathias Luidor Heltberg has collaborated with scholars based in Denmark, France and United States. Frequent co-authors include Mogens H. Jensen, Sandeep Krishna, Angela Taddei, Judith Miné-Hattab, Thierry Mora, Aleksandra M. Walczak, Rune Rasmussen, Ryan Kellogg, Savaş Tay and Leo P. Kadanoff. Their work appears in journals such as Nature Communications, Biochemistry and Nature 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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