Susanne Diekelmann
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Endocrine and Autonomic Systems top 0.5%
- Developmental and Educational Psychology top 5%
- Co-authors
- Jan BornInes WilhelmBjörn RaschUllrich WagnerMatthias MölleChristian BüchelSabine GrochIna Molzow
- Topics
- Sleep and Wakefulness Research (48 papers)Memory and Neural Mechanisms (38 papers)Sleep and related disorders (29 papers)
- Partner nations
- GermanySwitzerlandArgentina
In The Last Decade
Susanne Diekelmann
51 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 5.1k
- Experimental and Cognitive Psychology 2.7k
- Cellular and Molecular Neuroscience 1.1k
- Endocrine and Autonomic Systems 916
- Developmental and Educational Psychology 273
Countries citing papers authored by Susanne Diekelmann
This map shows the geographic impact of Susanne Diekelmann'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 Susanne Diekelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Diekelmann more than expected).
Fields of papers citing papers by Susanne Diekelmann
This network shows the impact of papers produced by Susanne Diekelmann. 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 Susanne Diekelmann. The network helps show where Susanne Diekelmann may publish in the future.
Co-authorship network of co-authors of Susanne Diekelmann
This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Diekelmann. A scholar is included among the top collaborators of Susanne Diekelmann 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 Susanne Diekelmann. Susanne Diekelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 23 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 21 | |
| 7 | 57 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 25 | |
| 11 | 73 | |
| 12 | 115 | |
| 13 | 9 | |
| 14 | 34 | |
| 15 | 145 | |
| 16 | 284 | |
| 17 | The memory function of sleepbreakdown → | 2585 |
| 18 | 106 | |
| 19 | 415 | |
| 20 | 202 |
About Susanne Diekelmann
Susanne Diekelmann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Endocrine and Autonomic Systems, having authored 51 papers that have together received 5.8k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (48 papers), Memory and Neural Mechanisms (38 papers) and Sleep and related disorders (29 papers). The work is most often cited by research in Cognitive Neuroscience (5.1k citations), Experimental and Cognitive Psychology (2.7k citations) and Endocrine and Autonomic Systems (916 citations). Susanne Diekelmann has collaborated with scholars based in Germany, Switzerland and Argentina. Frequent co-authors include Jan Born, Ines Wilhelm, Björn Rasch, Ullrich Wagner, Matthias Mölle, Christian Büchel, Sabine Groch, Ina Molzow, Tanja Lange and Gordon B. Feld. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and Nature reviews. Neuroscience.
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.