Michelle N. Servaas
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 5%
- Clinical Psychology top 5%
- Psychiatry and Mental health top 5%
- Social Psychology top 5%
- Co-authors
- Harriëtte RieseAndré AlemánJohan OrmelDate C. van der VeenJojanneke A. BastiaansenClaudia D. van BorkuloPaul HortonJorien van der Velde
- Topics
- Mental Health Research Topics (20 papers)Functional Brain Connectivity Studies (11 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Michelle N. Servaas
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Experimental and Cognitive Psychology 881
- Cognitive Neuroscience 610
- Clinical Psychology 414
- Psychiatry and Mental health 312
- Social Psychology 188
Countries citing papers authored by Michelle N. Servaas
This map shows the geographic impact of Michelle N. Servaas'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 Michelle N. Servaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle N. Servaas more than expected).
Fields of papers citing papers by Michelle N. Servaas
This network shows the impact of papers produced by Michelle N. Servaas. 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 Michelle N. Servaas. The network helps show where Michelle N. Servaas may publish in the future.
Co-authorship network of co-authors of Michelle N. Servaas
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle N. Servaas. A scholar is included among the top collaborators of Michelle N. Servaas 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 Michelle N. Servaas. Michelle N. Servaas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 37 | |
| 7 | 33 | |
| 8 | 75 | |
| 9 | 43 | |
| 10 | Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connectionsbreakdown → | 279 |
| 11 | 9 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 18 | |
| 16 | 18 | |
| 17 | 193 | |
| 18 | 113 | |
| 19 | 28 | |
| 20 | 186 |
About Michelle N. Servaas
Michelle N. Servaas is a scholar working on Experimental and Cognitive Psychology, Biological Psychiatry and Behavioral Neuroscience, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mental Health Research Topics (20 papers), Functional Brain Connectivity Studies (11 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (881 citations), Biological Psychiatry (90 citations) and Cognitive Neuroscience (610 citations). Michelle N. Servaas has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Harriëtte Riese, André Alemán, Johan Ormel, Date C. van der Veen, Jojanneke A. Bastiaansen, Claudia D. van Borkulo, Paul Horton, Jorien van der Velde, Sergi G. Costafreda and Angélique O. J. Cramer. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.
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.