Gergely Márton

769 total citations
35 papers, 575 citations indexed

About

Gergely Márton is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Gergely Márton has authored 35 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 29 papers in Cognitive Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Gergely Márton's work include Neuroscience and Neural Engineering (30 papers), Neural dynamics and brain function (18 papers) and EEG and Brain-Computer Interfaces (18 papers). Gergely Márton is often cited by papers focused on Neuroscience and Neural Engineering (30 papers), Neural dynamics and brain function (18 papers) and EEG and Brain-Computer Interfaces (18 papers). Gergely Márton collaborates with scholars based in Hungary, Germany and Romania. Gergely Márton's co-authors include István Ulbert, A. Pongrácz, Richárd Fiáth, Z. Fekete, Kinga Tóth, Ferenc Mátyás, Péter Fürjes, István Harmati, Áron Németh and G. Battistig and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Gergely Márton

34 papers receiving 570 citations

Peers

Gergely Márton

CMN

EEE

Xiaowei Gu China

Hanlin Zhu United States

Sébastien Joucla France

Gian Nicola Angotzi Italy

Aziliz Lecomte Italy

Grigori Guitchounts United States

Kaj Djupsund Finland

Hank Bink United States

Halvor Juul United States

Xiaowei Gu China

Gergely Márton

349 ×0.9

CMN

252 ×0.8

164 ×1.0

EEE

100 ×0.7

74 ×1.2

Citations per year, relative to Gergely Márton Gergely Márton (= 1×) peers Xiaowei Gu

Countries citing papers authored by Gergely Márton

Since Specialization

Citations

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

Fields of papers citing papers by Gergely Márton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Márton

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Márton. A scholar is included among the top collaborators of Gergely Márton 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 Gergely Márton. Gergely Márton 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

Márton, Gergely, et al.. (2024). The Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems. Brain Sciences. 14(12). 1272–1272. 1 indexed citations

Ulbert, István, et al.. (2023). Edge computing on TPU for brain implant signal analysis. Neural Networks. 162. 212–224. 5 indexed citations

Iván, Kristóf, et al.. (2023). Deep Comparisons of Neural Networks from the EEGNet Family. Electronics. 12(12). 2743–2743. 14 indexed citations

Fiáth, Richárd, et al.. (2022). From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings. Frontiers in Neuroinformatics. 16. 851024–851024. 10 indexed citations

Ulbert, István, et al.. (2022). A Surface Electromyography Dataset for Hand Gesture Recognition. 115–120. 1 indexed citations

Fiáth, Richárd, et al.. (2021). ELVISort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution. Journal of Neural Engineering. 18(4). 46033–46033. 8 indexed citations

Szücs, László, et al.. (2021). Development of an EMG based SVM supported control solution for the PlatypOUs education mobile robot using MindRove headset. IFAC-PapersOnLine. 54(15). 304–309. 8 indexed citations

Marek, T., et al.. (2020). Optimization aspects of electrodeposition of photoluminescent conductive polymer layer onto neural microelectrode arrays. Materials Chemistry and Physics. 260. 124163–124163. 2 indexed citations

Márton, Gergely, Lúcia Wittner, Richárd Fiáth, et al.. (2020). The neural tissue around SU-8 implants: A quantitative in vivo biocompatibility study. Materials Science and Engineering C. 112. 110870–110870. 31 indexed citations

10.

Fiáth, Richárd, et al.. (2019). Spike detection and sorting with deep learning. Journal of Neural Engineering. 17(1). 16038–16038. 52 indexed citations

11.

Fiáth, Richárd, et al.. (2019). A silicon-based spiky probe providing improved cell accessibility during in vitro slice recordings. Sensors and Actuators B Chemical. 297. 126649–126649. 2 indexed citations

12.

Rózsa, Balázs, et al.. (2019). Method for spike detection from microelectrode array recordings contaminated by artifacts of simultaneous two-photon imaging. PLoS ONE. 14(8). e0221510–e0221510. 3 indexed citations

13.

Fiáth, Richárd, et al.. (2019). Slow insertion of silicon probes improves the quality of acute neuronal recordings. Scientific Reports. 9(1). 111–111. 122 indexed citations

14.

Márton, Gergely, István Ulbert, A. Pongrácz, et al.. (2019). A softening laminar electrode for recording single unit activity from the rat hippocampus. Scientific Reports. 9(1). 2321–2321. 32 indexed citations

15.

Tóth, Kinga, et al.. (2016). Neurobiochemical changes in the vicinity of a nanostructured neural implant. Scientific Reports. 6(1). 35944–35944. 28 indexed citations

16.

Márton, Gergely, et al.. (2016). A silicon-based microelectrode array with a microdrive for monitoring brainstem regions of freely moving rats. Journal of Neural Engineering. 13(2). 26025–26025. 18 indexed citations

17.

Fekete, Z., et al.. (2016). Combined in vivo recording of neural signals and iontophoretic injection of pathway tracers using a hollow silicon microelectrode. Sensors and Actuators B Chemical. 236. 815–824. 10 indexed citations

18.

Fekete, Z., Áron Németh, Gergely Márton, István Ulbert, & A. Pongrácz. (2015). Experimental study on the mechanical interaction between silicon neural microprobes and rat dura mater during insertion. Journal of Materials Science Materials in Medicine. 26(2). 70–70. 29 indexed citations

19.

Márton, Gergely, I. Bakos, Z. Fekete, István Ulbert, & A. Pongrácz. (2013). Durability of high surface area platinum deposits on microelectrode arrays for acute neural recordings. Journal of Materials Science Materials in Medicine. 25(3). 931–940. 17 indexed citations

20.

Pongrácz, A., Z. Fekete, Gergely Márton, et al.. (2012). Deep-Brain Silicon Multielectrodes for Simultaneous Neural Recording and Drug Delivery. Procedia Engineering. 47. 281–284. 2 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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