Hanni Kiiski

576 total citations
21 papers, 405 citations indexed

About

Hanni Kiiski is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Psychiatry and Mental health. According to data from OpenAlex, Hanni Kiiski has authored 21 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Pathology and Forensic Medicine and 6 papers in Psychiatry and Mental health. Recurrent topics in Hanni Kiiski's work include Multiple Sclerosis Research Studies (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Functional Brain Connectivity Studies (6 papers). Hanni Kiiski is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Functional Brain Connectivity Studies (6 papers). Hanni Kiiski collaborates with scholars based in Ireland, United States and United Kingdom. Hanni Kiiski's co-authors include Robert Whelan, Jessica Bramham, Laura M. Rueda‐Delgado, Francesca R Farina, Róisín Lonergan, Katie Kinsella, Niall Tubridy, Michael Hutchinson, Richard B. Reilly and Hugh Nolan and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain Research.

In The Last Decade

Hanni Kiiski

21 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanni Kiiski Ireland 14 244 129 109 49 41 21 405
Alejandro Galvao-Carmona Spain 13 192 0.8× 65 0.5× 97 0.9× 23 0.5× 36 0.9× 30 387
Victoria Singh‐Curry United Kingdom 10 415 1.7× 87 0.7× 61 0.6× 56 1.1× 11 0.3× 21 620
Manuel Vázquez-Marrufo Spain 13 242 1.0× 36 0.3× 130 1.2× 36 0.7× 69 1.7× 31 395
Kris Onishi United States 10 310 1.3× 206 1.6× 113 1.0× 41 0.8× 22 0.5× 13 482
Francisco Agramunt Lacruz Spain 9 314 1.3× 95 0.7× 58 0.5× 96 2.0× 17 0.4× 18 629
Anne‐Isabelle Vermersch France 3 307 1.3× 41 0.3× 42 0.4× 118 2.4× 12 0.3× 5 425
Rebecca D. Calcott United States 4 138 0.6× 67 0.5× 20 0.2× 38 0.8× 15 0.4× 4 372
Alidz Pambakian United Kingdom 10 444 1.8× 32 0.2× 62 0.6× 77 1.6× 15 0.4× 10 626
S. Rivaud‐Péchoux France 8 348 1.4× 41 0.3× 43 0.4× 127 2.6× 18 0.4× 10 490
R D Yee United States 8 119 0.5× 48 0.4× 100 0.9× 156 3.2× 37 0.9× 12 359

Countries citing papers authored by Hanni Kiiski

Since Specialization
Citations

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

Fields of papers citing papers by Hanni Kiiski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanni Kiiski

This figure shows the co-authorship network connecting the top 25 collaborators of Hanni Kiiski. A scholar is included among the top collaborators of Hanni Kiiski 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 Hanni Kiiski. Hanni Kiiski 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.
Rueda‐Delgado, Laura M., Nigel Vahey, Kathy Ruddy, et al.. (2025). Changes in Inhibition-Related Brain Function and Psychological Flexibility during Smoking Abstinence: A Machine-Learning Prediction of Time to Relapse. European Addiction Research. 31(2). 99–112. 1 indexed citations
2.
Novák, Lukáš, Klára Maliňáková, Radek Trnka, et al.. (2024). Neural bases of social deficits in ADHD: A systematic review. Does the Theory of Mind matter?. Brain Research Bulletin. 215. 111011–111011. 4 indexed citations
3.
Keil, Julian, et al.. (2023). Artificial sharp-wave-ripples to support memory and counter neurodegeneration. Brain Research. 1822. 148646–148646. 1 indexed citations
4.
Farina, Francesca R, Derya Durusu Emek‐Savaş, Laura M. Rueda‐Delgado, et al.. (2020). A comparison of resting state EEG and structural MRI for classifying Alzheimer’s disease and mild cognitive impairment. NeuroImage. 215. 116795–116795. 67 indexed citations
5.
Kiiski, Hanni, Marc Bennett, Laura M. Rueda‐Delgado, et al.. (2019). EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD. European Journal of Neuroscience. 51(10). 2095–2109. 49 indexed citations
6.
Kiiski, Hanni, Laura M. Rueda‐Delgado, Marc Bennett, et al.. (2019). Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms. Clinical Neurophysiology. 131(1). 330–342. 41 indexed citations
7.
Rueda‐Delgado, Laura M., Kathy Ruddy, Hanni Kiiski, et al.. (2019). Brain event-related potentials predict individual differences in inhibitory control. International Journal of Psychophysiology. 163. 22–34. 17 indexed citations
8.
Kiiski, Hanni, Lee Jollans, Hugh Nolan, et al.. (2018). Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls. Brain Topography. 31(3). 346–363. 29 indexed citations
9.
Jollans, Lee, et al.. (2018). A Combination of Impulsivity Subdomains Predict Alcohol Intoxication Frequency. Alcoholism Clinical and Experimental Research. 42(8). 1530–1540. 13 indexed citations
10.
Gormley, Isobel Claire, Brendan Rooney, Robert Whelan, et al.. (2017). Differential diagnosis and comorbidity of ADHD and anxiety in adults. British Journal of Clinical Psychology. 57(1). 99–115. 16 indexed citations
11.
Kiiski, Hanni, et al.. (2017). EEG theta/beta ratio correlates positively with inattention and memory problems in ADHD and controls. European Neuropsychopharmacology. 27. S1102–S1103. 2 indexed citations
12.
Kiiski, Hanni, Edmund C. Lalor, Hugh Nolan, et al.. (2016). Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis. PLoS ONE. 11(1). e0146084–e0146084. 13 indexed citations
13.
Kiiski, Hanni, et al.. (2016). Perceptual and Social Attributes Underlining Age-Related Preferences for Faces. Frontiers in Human Neuroscience. 10. 437–437. 18 indexed citations
14.
Kiiski, Hanni, Ludovic Hoyet, Andy Woods, Carol O’Sullivan, & Fiona N. Newell. (2015). Strutting Hero, Sneaking Villain. ACM Transactions on Applied Perception. 13(1). 1–21. 8 indexed citations
15.
Kiiski, Hanni, et al.. (2013). Perception and prediction of social intentions from human body motion. 134–134. 3 indexed citations
16.
Kiiski, Hanni, Richard B. Reilly, Róisín Lonergan, et al.. (2012). Only Low Frequency Event-Related EEG Activity Is Compromised in Multiple Sclerosis: Insights from an Independent Component Clustering Analysis. PLoS ONE. 7(9). e45536–e45536. 21 indexed citations
17.
Kiiski, Hanni, Richard B. Reilly, Róisín Lonergan, et al.. (2011). Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients. Journal of the Neurological Sciences. 305(1-2). 45–52. 16 indexed citations
18.
Kiiski, Hanni, Robert Whelan, Róisín Lonergan, et al.. (2010). Preliminary evidence for correlation between PASAT performance and P3a and P3b amplitudes in progressive multiple sclerosis. European Journal of Neurology. 18(5). 792–795. 17 indexed citations
19.
Whelan, Robert, Róisín Lonergan, Hanni Kiiski, et al.. (2010). A high-density ERP study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls. Clinical Neurophysiology. 121(9). 1420–1426. 33 indexed citations
20.
Whelan, Robert, Róisín Lonergan, Hanni Kiiski, et al.. (2010). Impaired information processing speed and attention allocation in multiple sclerosis patients versus controls: A high-density EEG study. Journal of the Neurological Sciences. 293(1-2). 45–50. 21 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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