Adrian Furdea

2.4k total citations
18 papers, 1.7k citations indexed

About

Adrian Furdea is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Adrian Furdea has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Adrian Furdea's work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (4 papers). Adrian Furdea is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (4 papers). Adrian Furdea collaborates with scholars based in Germany, United States and Italy. Adrian Furdea's co-authors include Andrea Kübler, Femke Nijboer, Niels Birbaumer, Sebastian Halder, Jürgen Mellinger, Dean J. Krusienski, Tamara Matuz, Dennis J. McFarland, Eva Maria Hammer and Boris Kotchoubey and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Adrian Furdea

18 papers receiving 1.7k citations

Peers

Countries citing papers authored by Adrian Furdea

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Furdea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Furdea

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

All Works

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18 of 18 papers shown

#	Title	Journal	Authors	Indexed citations
1	Characterizing the Propagation of Uterine Electrophysiological Signals Recorded with a Multi-Sensor Abdominal Array in Term Pregnancies	PLoS ONE	Rathinaswamy B. Govindan, Adrian Furdea et al.	23
2	Near-infrared spectroscopy (NIRS) neurofeedback as a treatment for children with attention deficit hyperactivity disorder (ADHD)â€”a pilot study	Frontiers in Human Neuroscience	Ann‐Christine Ehlis, Adrian Furdea et al.	74
3	Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy	Neurology	Adrian Furdea, Kouji Takano et al.	103
4	Prediction of P300 BCI Aptitude in Severe Motor Impairment	PLoS ONE	Sebastian Halder, Carolin A. Ruf et al.	14
5	Brain communication in the locked-in state	Brain	Daniele De Massari, Carolin A. Ruf et al.	64
6	Semantic Classical Conditioning and Brain-Computer Interface Control: Encoding of Affirmative and Negative Thinking	Frontiers in Neuroscience	Carolin A. Ruf, Daniele De Massari et al.	14
7	Brain–computer interface and semantic classical conditioning of communication in paralysis	Biological Psychology	Daniele De Massari, Tamara Matuz et al.	19
8	A new (semantic) reflexive brain–computer interface: In search for a suitable classifier	Journal of Neuroscience Methods	Adrian Furdea, Carolin A. Ruf et al.	29
9	Conduction velocity of the uterine contraction in serial magnetomyogram (MMG) data: Event based simulation and validation	PubMed	Adrian Furdea, Hubert Preißl et al.	7
10	Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers	Frontiers in Neuroscience	Sebastian Halder, Sonja C. Kleih et al.	107
11	Decrement of uterine myometrial burst duration as a correlate to active labor: A Hilbert phase approach	PubMed	Rathinaswamy B. Govindan, Srinivasan Vairavan et al.	4
12	A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients	Annals of the New York Academy of Sciences	Andrea Kübler, Adrian Furdea et al.	226
13	Magnetomyographic recording and identification of uterine contractions using Hilbert-wavelet transforms	Physiological Measurement	Adrian Furdea, Hari Eswaran et al.	17
14	An auditory oddball (P300) spelling system for brain‐computer interfaces	Psychophysiology	Adrian Furdea, Sebastian Halder et al.	228
15	Extraction, quantification and characterization of uterine magnetomyographic activity—A proof of concept case study	European Journal of Obstetrics & Gynecology and Reproductive Biology	Hari Eswaran, Rathinaswamy B. Govindan et al.	28
16	A P300-based brain–computer interface for people with amyotrophic lateral sclerosis	Clinical Neurophysiology	Femke Nijboer, Eric W. Sellers et al.	468
17	An auditory brain–computer interface (BCI)	Journal of Neuroscience Methods	Femke Nijboer, Adrian Furdea et al.	272
18	Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach	The MIT Press eBooks	Thilo Hinterberger, Femke Nijboer et al.	7

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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