Maja Tippmann‐Peikert

2.6k total citations
31 papers, 1.7k citations indexed

About

Maja Tippmann‐Peikert is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Maja Tippmann‐Peikert has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 12 papers in Neurology. Recurrent topics in Maja Tippmann‐Peikert's work include Sleep and Wakefulness Research (18 papers), Sleep and related disorders (14 papers) and Restless Legs Syndrome Research (12 papers). Maja Tippmann‐Peikert is often cited by papers focused on Sleep and Wakefulness Research (18 papers), Sleep and related disorders (14 papers) and Restless Legs Syndrome Research (12 papers). Maja Tippmann‐Peikert collaborates with scholars based in United States and Canada. Maja Tippmann‐Peikert's co-authors include Michael H. Silber, Bradley F. Boeve, Nancy L. Slocumb, Keith A. Josephs, Daniel O. Claassen, J. Eric Ahlskog, Erik K. St. Louis, Jason R. Cornelius, Stuart J. McCarter and Kevin F. Bieniek and has published in prestigious journals such as Neurology, SLEEP and Journal of Thoracic Oncology.

In The Last Decade

Maja Tippmann‐Peikert

28 papers receiving 1.7k citations

Peers

Maja Tippmann‐Peikert
Comparison fields: 5 of 77
  • Neurology 1.2k
  • Cognitive Neuroscience 858
  • Epidemiology 770
  • Experimental and Cognitive Psychology 343
  • Cellular and Molecular Neuroscience 173
Replace Alessandro Oldani with:
Alessandro Oldani Italy
M. Saletu Austria
Véronique Latreille United States
Elisabeth Brandauer Austria
Andrea Galbiati Italy
June M. Fry United States
Debora Aricò Italy
Stuart J. McCarter United States
Mark W. Mahowald United States
Ilonka Eisensehr Germany
Alessandro Oldani Italy View profile →
Citations per field, relative to Maja Tippmann‐Peikert
Maja Tippmann‐Peikert · 1×
Citations per year, relative to Maja Tippmann‐Peikert
Maja Tippmann‐Peikert · 1×

Countries citing papers authored by Maja Tippmann‐Peikert

Since Specialization
Citations

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

Fields of papers citing papers by Maja Tippmann‐Peikert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Tippmann‐Peikert. 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 Maja Tippmann‐Peikert. The network helps show where Maja Tippmann‐Peikert may publish in the future.

Co-authorship network of co-authors of Maja Tippmann‐Peikert

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Tippmann‐Peikert. A scholar is included among the top collaborators of Maja Tippmann‐Peikert 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 Maja Tippmann‐Peikert. Maja Tippmann‐Peikert 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
# Work Indexed citations
1 0
2 5
3 0
4 4
5 1
6 1
7 19
8 14
9 1
10 6
11 36
12 59
13 134
14 53
15 20
16 78
17 204
18 149
19 85
20 37

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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