Marisa Koini

1.1k total citations
38 papers, 747 citations indexed

About

Marisa Koini is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marisa Koini has authored 38 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Psychiatry and Mental health and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marisa Koini's work include Functional Brain Connectivity Studies (13 papers), Dementia and Cognitive Impairment Research (12 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Marisa Koini is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Dementia and Cognitive Impairment Research (12 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Marisa Koini collaborates with scholars based in Austria, Netherlands and United States. Marisa Koini's co-authors include Reinhold Schmidt, Serge A.R.B. Rombouts, Frank de Vos, Mark de Rooij, Jeroen van der Grond, Tijn M. Schouten, Anita Lechner, Stephan Seiler, Christian Enzinger and Edith Hofer and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Marisa Koini

35 papers receiving 735 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marisa Koini Austria 15 311 230 180 134 112 38 747
Venkateswaran Rajagopalan United States 16 155 0.5× 174 0.8× 107 0.6× 281 2.1× 118 1.1× 42 778
Bénédicte Maréchal Switzerland 15 115 0.4× 229 1.0× 148 0.8× 144 1.1× 109 1.0× 51 683
Rozanna Meijboom United Kingdom 14 141 0.5× 183 0.8× 162 0.9× 104 0.8× 61 0.5× 29 684
Christopher J.M. Scott Canada 14 133 0.4× 195 0.8× 173 1.0× 180 1.3× 109 1.0× 36 681
Avinash Chandra United Kingdom 6 150 0.5× 136 0.6× 157 0.9× 195 1.5× 133 1.2× 10 676
Ibrahim Ibrahim Czechia 13 179 0.6× 151 0.7× 130 0.7× 66 0.5× 65 0.6× 40 506
Miguel Yus Spain 21 394 1.3× 205 0.9× 278 1.5× 401 3.0× 180 1.6× 50 1.2k
Benjamin Kandel United States 10 294 0.9× 333 1.4× 179 1.0× 78 0.6× 246 2.2× 11 855
Elda Judica Italy 20 418 1.3× 266 1.2× 92 0.5× 100 0.7× 71 0.6× 43 972
Anil Rao United Kingdom 13 402 1.3× 588 2.6× 249 1.4× 84 0.6× 82 0.7× 19 1.1k

Countries citing papers authored by Marisa Koini

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Koini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Koini

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Koini. A scholar is included among the top collaborators of Marisa Koini 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 Marisa Koini. Marisa Koini 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
1.
Leitner, Manuel, Daniela Pinter, Stefan Ropele, & Marisa Koini. (2025). Functional connectivity changes in long-Covid patients with and without cognitive impairment. Cortex. 191. 74–89.
2.
Leitner, Manuel, Lukas Pirpamer, Edith Hofer, et al.. (2025). Free Water as a Marker of Early Small Vessel Disease in Healthy Aging. European Journal of Neurology. 32(3). e70094–e70094. 1 indexed citations
3.
Paletta, Lucas, et al.. (2024). SmartAktiv: A tablet- and virtual reality-based training for individuals with cognitive decline. AHFE international. 1 indexed citations
4.
Leitner, Manuel, Peter Opriessnig, Stefan Ropele, et al.. (2024). Changes in thalamic functional connectivity in post-Covid patients with and without fatigue. NeuroImage. 301. 120888–120888. 2 indexed citations
5.
Schoberer, Daniela, Sereina A. Herzog, Regina Roller‐Wirnsberger, et al.. (2023). Effectiveness of computer-based interventions for community-dwelling people with cognitive decline: a systematic review with meta-analyses. BMC Geriatrics. 23(1). 229–229. 24 indexed citations
6.
7.
Vos, Frank de, Marjolein Fokkema, Botond Szabó, et al.. (2022). Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification. Frontiers in Neuroscience. 16. 830630–830630. 3 indexed citations
8.
Pirpamer, Lukas, Edith Hofer, Stefan Ropele, et al.. (2022). Free water diffusion MRI and executive function with a speed component in healthy aging. NeuroImage. 257. 119303–119303. 13 indexed citations
9.
Rombouts, Serge A.R.B., et al.. (2022). Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes. Journal of Neuroscience Methods. 382. 109718–109718. 3 indexed citations
10.
Colonna, Isabella, Marisa Koini, Lukas Pirpamer, et al.. (2021). Microstructural Tissue Changes in Alzheimer Disease Brains: Insights from Magnetization Transfer Imaging. American Journal of Neuroradiology. 42(4). 688–693. 6 indexed citations
11.
Koini, Marisa, Lukas Pirpamer, Edith Hofer, et al.. (2021). Factors influencing serum neurofilament light chain levels in normal aging. Aging. 13(24). 25729–25738. 70 indexed citations
12.
Vos, Frank de, Tijn M. Schouten, Marisa Koini, et al.. (2020). Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients. NeuroImage Clinical. 27. 102303–102303. 3 indexed citations
13.
Duering, Marco, Benno Gesierich, Christian Enzinger, et al.. (2020). Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer’s Disease. Frontiers in Psychiatry. 11. 360–360. 4 indexed citations
14.
Koini, Marisa, Marco Duering, Benno Gesierich, et al.. (2018). Grey-matter network disintegration as predictor of cognitive and motor function with aging. Brain Structure and Function. 223(5). 2475–2487. 23 indexed citations
15.
Vos, Frank de, Marisa Koini, Tijn M. Schouten, et al.. (2017). [IC‐P‐028]: A COMPREHENSIVE ANALYSIS OF RESTING STATE FMRI MEASURES TO CLASSIFY INDIVIDUAL PATIENTS WITH ALZHEIMER's DISEASE. Alzheimer s & Dementia. 13(7S_Part_1). 1 indexed citations
16.
Schouten, Tijn M., Marisa Koini, Frank de Vos, et al.. (2017). Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging. NeuroImage. 152. 476–481. 55 indexed citations
17.
Neuper, Christa, Reinhold Schmidt, Guilherme Wood, et al.. (2017). FMRI to probe sex-related differences in brain function with multitasking. PLoS ONE. 12(7). e0181554–e0181554. 16 indexed citations
18.
Koini, Marisa, Serge A.R.B. Rombouts, Ilya M. Veer, Mark A. van Buchem, & Stephan C. J. Huijbregts. (2016). White matter microstructure of patients with neurofibromatosis type 1 and its relation to inhibitory control. Brain Imaging and Behavior. 11(6). 1731–1740. 31 indexed citations
19.
Pinter, Daniela, Christian F. Beckmann, Marisa Koini, et al.. (2016). Reproducibility of Resting State Connectivity in Patients with Stable Multiple Sclerosis. PLoS ONE. 11(3). e0152158–e0152158. 19 indexed citations
20.
Schouten, Tijn M., Marisa Koini, Frank de Vos, et al.. (2016). Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease. NeuroImage Clinical. 11. 46–51. 93 indexed citations

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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