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

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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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Cortical stability and chaos during focal seizures: insights from inference-based modeling	Journal of Neural Engineering	Yun Zhao, David B. Grayden et al.	1
2	Brain model state space reconstruction using an LSTM neural network	Journal of Neural Engineering	Philippa J. Karoly, David B. Grayden et al.	5
3	Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches	Epigenomes	Adam P. Morris, Jasbir Dhaliwal et al.	2
4	EEG datasets for seizure detection and prediction— A review	Epilepsia Open	Scott Barnett, Shobi Sivathamboo et al.	47
5	General and patient-specific seizure classification using deep neural networks	Analog Integrated Circuits and Signal Processing	Levin Kuhlmann, Mohamed A. Abd El Ghany et al.	5
6	Seizure forecasting: Where do we stand?	Epilepsia	Ralph G. Andrzejak, Hitten P. Zaveri et al.	14
7	Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches	International Journal of Neural Systems	Ofer M. Gonen, Piero Perucca et al.	10
8	Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps	Sensors	Patrique Fiedler, Levin Kuhlmann et al.	16
9	A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction	PubMed Central	Khansa Rasheed, Junaid Qadir et al.	62
10	Seizure Susceptibility Prediction in Uncontrolled Epilepsy	Frontiers in Neurology	Nhan Duy Truong, Levin Kuhlmann et al.	7
11	Interictal spike localization for epilepsy surgery using magnetoencephalography beamforming	Clinical Neurophysiology	Rui Li, Chris Plummer et al.	4
12	Forecasting cycles of seizure likelihood	Epilepsia	Philippa J. Karoly, Mark Cook et al.	81
13	Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA)	Computers in Biology and Medicine	Levin Kuhlmann, Sonika Tyagi et al.	18
14	Seizure prediction — ready for a new era breakdown →	Nature Reviews Neurology	Levin Kuhlmann, Klaus Lehnertz et al.	314
15	Assessing nitrous oxide effect using electroencephalographically-based depth of anesthesia measures cortical state and cortical input	Journal of Clinical Monitoring and Computing	Levin Kuhlmann, David T. J. Liley	9
16	Modulation of Functional EEG Networks by the NMDA Antagonist Nitrous Oxide	PLoS ONE	Levin Kuhlmann, Brett L. Foster et al.	27
17	Estimating the unmeasured membrane potential of neuronal populations from the EEG using a class of deterministic nonlinear filters	Journal of Neural Engineering	M. S. Chong, Romain Postoyan et al.	13
18	Matching Pursuit Based Removal Of Cardiac Pulse-Related Artifacts In Eeg/Fmri	Swinburne Research Bank (Swinburne University of Technology)	Rainer Schneider, Stephan Lau et al.	2
19	Probing for cortical excitability	PubMed	Dean R. Freestone, Anthony N. Burkitt et al.	1
20	A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface filling-in	Vision Research	Stephen Grossberg, Levin Kuhlmann et al.	33

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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