Levin Kuhlmann

4.3k total citations · 2 hit papers
88 papers, 2.5k citations indexed

About

Levin Kuhlmann is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Signal Processing. According to data from OpenAlex, Levin Kuhlmann has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cognitive Neuroscience, 34 papers in Psychiatry and Mental health and 16 papers in Signal Processing. Recurrent topics in Levin Kuhlmann's work include EEG and Brain-Computer Interfaces (59 papers), Epilepsy research and treatment (34 papers) and Neural dynamics and brain function (29 papers). Levin Kuhlmann is often cited by papers focused on EEG and Brain-Computer Interfaces (59 papers), Epilepsy research and treatment (34 papers) and Neural dynamics and brain function (29 papers). Levin Kuhlmann collaborates with scholars based in Australia, United States and Germany. Levin Kuhlmann's co-authors include Omid Kavehei, Nhan Duy Truong, Mark Cook, Mohammad Reza Bonyadi, David B. Grayden, Dean R. Freestone, Jiawei Yang, Mark P. Richardson, Samuel J. Ippolito and Anh Nguyen and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Levin Kuhlmann

86 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram

2018 431 citations Nhan Duy Truong, Levin Kuhlmann et al. profile →
Seizure prediction — ready for a new era

2018 314 citations Levin Kuhlmann, Klaus Lehnertz et al. Nature Reviews Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Levin Kuhlmann Australia	25	2.1k	830	430	418	240	88	2.5k
Björn Schelter Germany	24	2.1k 1.0×	443 0.5×	446 1.0×	421 1.0×	208 0.9×	60	2.8k
Javier Echauz United States	17	1.8k 0.9×	407 0.5×	656 1.5×	545 1.3×	197 0.8×	40	2.5k
Dean R. Freestone Australia	34	2.5k 1.2×	1.4k 1.7×	182 0.4×	888 2.1×	228 0.9×	93	3.2k
Kaspar Schindler Switzerland	31	2.8k 1.4×	956 1.2×	384 0.9×	944 2.3×	227 0.9×	155	4.2k
Isabelle Merlet France	31	2.0k 0.9×	660 0.8×	469 1.1×	621 1.5×	127 0.5×	70	2.8k
Matthias Dümpelmann Germany	33	2.4k 1.1×	1.2k 1.4×	224 0.5×	989 2.4×	184 0.8×	98	3.0k
Hitten P. Zaveri United States	35	2.2k 1.0×	1.2k 1.4×	392 0.9×	1.3k 3.1×	187 0.8×	109	3.6k
Jie Xiang China	25	1.8k 0.9×	360 0.4×	336 0.8×	144 0.3×	289 1.2×	140	2.6k
Philippa J. Karoly Australia	28	2.0k 1.0×	1.4k 1.6×	131 0.3×	675 1.6×	198 0.8×	65	2.6k
Mehran Ahmadlou Netherlands	22	2.2k 1.1×	266 0.3×	417 1.0×	432 1.0×	404 1.7×	36	2.9k

Countries citing papers authored by Levin Kuhlmann

Since Specialization

Citations

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

Fields of papers citing papers by Levin Kuhlmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Levin Kuhlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Levin Kuhlmann. A scholar is included among the top collaborators of Levin Kuhlmann 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 Levin Kuhlmann. Levin Kuhlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Yun, David B. Grayden, Mario Boley, et al.. (2025). Cortical stability and chaos during focal seizures: insights from inference-based modeling. Journal of Neural Engineering. 22(3). 36021–36021. 1 indexed citations

Karoly, Philippa J., David B. Grayden, Yun Zhao, et al.. (2023). Brain model state space reconstruction using an LSTM neural network. Journal of Neural Engineering. 20(3). 36024–36024. 5 indexed citations

Morris, Adam P., et al.. (2023). Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches. Epigenomes. 7(3). 22–22. 2 indexed citations

Barnett, Scott, Shobi Sivathamboo, Piero Perucca, et al.. (2023). EEG datasets for seizure detection and prediction— A review. Epilepsia Open. 8(2). 252–267. 47 indexed citations

Kuhlmann, Levin, et al.. (2023). General and patient-specific seizure classification using deep neural networks. Analog Integrated Circuits and Signal Processing. 116(3). 205–220. 5 indexed citations

Andrzejak, Ralph G., Hitten P. Zaveri, Andreas Schulze‐Bonhage, et al.. (2023). Seizure forecasting: Where do we stand?. Epilepsia. 64(S3). S62–S71. 14 indexed citations

Gonen, Ofer M., Piero Perucca, Amanda Gilligan, et al.. (2022). Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches. International Journal of Neural Systems. 33(1). 2350001–2350001. 10 indexed citations

Fiedler, Patrique, Levin Kuhlmann, David T. J. Liley, et al.. (2022). Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps. Sensors. 22(20). 8079–8079. 16 indexed citations

Rasheed, Khansa, Junaid Qadir, Terence J. O’Brien, Levin Kuhlmann, & Adeel Razi. (2021). A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction. PubMed Central. 62 indexed citations

10.

Truong, Nhan Duy, et al.. (2021). Seizure Susceptibility Prediction in Uncontrolled Epilepsy. Frontiers in Neurology. 12. 721491–721491. 7 indexed citations

11.

Li, Rui, Chris Plummer, Simon J. Vogrin, et al.. (2021). Interictal spike localization for epilepsy surgery using magnetoencephalography beamforming. Clinical Neurophysiology. 132(4). 928–937. 4 indexed citations

12.

Karoly, Philippa J., Mark Cook, Matias I. Maturana, et al.. (2020). Forecasting cycles of seizure likelihood. Epilepsia. 61(4). 776–786. 81 indexed citations

13.

Kuhlmann, Levin, et al.. (2020). Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA). Computers in Biology and Medicine. 127. 104028–104028. 18 indexed citations

14.

Kuhlmann, Levin, Klaus Lehnertz, Mark P. Richardson, Björn Schelter, & Hitten P. Zaveri. (2018). Seizure prediction — ready for a new era. Nature Reviews Neurology. 14(10). 618–630. 314 indexed citations breakdown →

15.

Kuhlmann, Levin & David T. J. Liley. (2017). Assessing nitrous oxide effect using electroencephalographically-based depth of anesthesia measures cortical state and cortical input. Journal of Clinical Monitoring and Computing. 32(1). 173–188. 9 indexed citations

16.

Kuhlmann, Levin, Brett L. Foster, & David T. J. Liley. (2013). Modulation of Functional EEG Networks by the NMDA Antagonist Nitrous Oxide. PLoS ONE. 8(2). e56434–e56434. 27 indexed citations

17.

Chong, M. S., et al.. (2012). Estimating the unmeasured membrane potential of neuronal populations from the EEG using a class of deterministic nonlinear filters. Journal of Neural Engineering. 9(2). 26001–26001. 13 indexed citations

18.

Schneider, Rainer, Stephan Lau, Levin Kuhlmann, et al.. (2011). Matching Pursuit Based Removal Of Cardiac Pulse-Related Artifacts In Eeg/Fmri. Swinburne Research Bank (Swinburne University of Technology). 5(8). 1559–1564. 2 indexed citations

19.

Freestone, Dean R., Anthony N. Burkitt, Alan Lai, et al.. (2011). Probing for cortical excitability. PubMed. 116. 1644–1647. 1 indexed citations

20.

Grossberg, Stephen, Levin Kuhlmann, & Ennio Mingolla. (2007). A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface filling-in. Vision Research. 47(5). 634–672. 33 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.

Explore authors with similar magnitude of impact