Lóránd Erőss

4.1k total citations
88 papers, 2.5k citations indexed

About

Lóránd Erőss is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Lóránd Erőss has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 42 papers in Cellular and Molecular Neuroscience and 22 papers in Psychiatry and Mental health. Recurrent topics in Lóránd Erőss's work include Neuroscience and Neuropharmacology Research (29 papers), Neural dynamics and brain function (23 papers) and Epilepsy research and treatment (22 papers). Lóránd Erőss is often cited by papers focused on Neuroscience and Neuropharmacology Research (29 papers), Neural dynamics and brain function (23 papers) and Epilepsy research and treatment (22 papers). Lóránd Erőss collaborates with scholars based in Hungary, United States and Germany. Lóránd Erőss's co-authors include Péter Halász, Lúcia Wittner, Zsófia Clemens, Jan Born, Dániel Fabó, István Ulbert, P. Halász, Tamás F. Freund, Péter Barsi and György Rásonyi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Lóránd Erőss

78 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lóránd Erőss Hungary 22 1.7k 1.3k 436 243 231 88 2.5k
Anita Kamondi Hungary 22 1.7k 1.0× 1.9k 1.5× 360 0.8× 79 0.3× 255 1.1× 69 2.9k
Thomas Seidenbecher Germany 30 2.3k 1.4× 2.2k 1.7× 192 0.4× 148 0.6× 114 0.5× 55 3.5k
B. Bogerts Germany 23 801 0.5× 647 0.5× 853 2.0× 90 0.4× 155 0.7× 38 2.1k
Jee Hoon Roh South Korea 22 1.2k 0.7× 475 0.4× 652 1.5× 473 1.9× 255 1.1× 72 3.0k
Stuart W. Hughes United Kingdom 32 2.9k 1.7× 2.1k 1.6× 190 0.4× 222 0.9× 114 0.5× 52 3.9k
Magor L. Lörincz United Kingdom 21 1.2k 0.7× 1.1k 0.8× 295 0.7× 67 0.3× 72 0.3× 33 1.9k
Andrew J. D. Nelson United Kingdom 24 1.3k 0.8× 1.1k 0.8× 156 0.4× 72 0.3× 100 0.4× 55 2.1k
Nikolai Malykhin Canada 24 879 0.5× 384 0.3× 409 0.9× 102 0.4× 229 1.0× 43 1.9k
Helen E. Savaki Greece 28 1.1k 0.6× 1.5k 1.1× 223 0.5× 71 0.3× 536 2.3× 68 3.0k
Masatake Uno Japan 18 888 0.5× 412 0.3× 625 1.4× 135 0.6× 188 0.8× 39 2.1k

Countries citing papers authored by Lóránd Erőss

Since Specialization
Citations

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

Fields of papers citing papers by Lóránd Erőss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lóránd Erőss

This figure shows the co-authorship network connecting the top 25 collaborators of Lóránd Erőss. A scholar is included among the top collaborators of Lóránd Erőss 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 Lóránd Erőss. Lóránd Erőss 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.
Simor, Péter, Orsolya Szalárdy, László Halász, et al.. (2025). Heartbeat‐related activity in the anterior thalamus differs between phasic and tonic REM sleep. The Journal of Physiology. 603(9). 2839–2855. 1 indexed citations
2.
Entz, László, Emília Tóth, Corey J. Keller, et al.. (2025). Intracortical mechanisms of single pulse electrical stimulation (SPES) evoked excitations and inhibitions in humans. Brain stimulation. 18(1). 256–256. 1 indexed citations
3.
Pollner, Péter, et al.. (2025). Consistency and grade prediction of intracranial meningiomas based on fractal geometry analysis. Neurosurgical Review. 48(1). 598–598.
4.
5.
Halász, László, Bastian Sajonz, Gijs van Elswijk, et al.. (2024). Predictive modeling of sensory responses in deep brain stimulation. Frontiers in Neurology. 15. 1467307–1467307. 2 indexed citations
6.
Stippinger, Marcell, Dániel Fabó, András Sólyom, et al.. (2024). Bayesian inference of causal relations between dynamical systems. Chaos Solitons & Fractals. 185. 115142–115142. 2 indexed citations
7.
Katona, József, Zoltán Papp, Zsuzsanna A. Dunai, et al.. (2024). Complex Infection-Control Measures with Disinfectant Switch Help the Successful Early Control of Carbapenem-Resistant Acinetobacter baumannii Outbreak in Intensive Care Unit. Antibiotics. 13(9). 869–869. 4 indexed citations
8.
Katona, József, Zoltán Papp, Zsuzsanna A. Dunai, et al.. (2024). Risk Assessment and Recommended Approaches to Optimize Infection Control and Antibiotic Stewardship to Reduce External Ventricular Drain Infection: A Single-Center Study. Antibiotics. 13(11). 1093–1093. 2 indexed citations
9.
Halász, László, Emília Tóth, Ljubomir Manola, et al.. (2024). Sensory-substitution based sound perception using a spinal computer–brain interface. Scientific Reports. 14(1). 24879–24879. 1 indexed citations
10.
Stippinger, Marcell, et al.. (2023). CCDH: Complexity based Causal Discovery of Hidden common cause in time series. Chaos Solitons & Fractals. 176. 114054–114054. 2 indexed citations
11.
Várkuti, Bálint, László Halász, Gijs van Elswijk, et al.. (2023). Conversion of a medical implant into a versatile computer-brain interface. Brain stimulation. 17(1). 39–48. 4 indexed citations
12.
Tóth, Kinga, Lóránd Erőss, László Entz, et al.. (2022). Bursting of excitatory cells is linked to interictal epileptic discharge generation in humans. Scientific Reports. 12(1). 6280–6280. 16 indexed citations
13.
Ujma, Péter P., Róbert Bódizs, Ferenc Gombos, et al.. (2020). The laminar profile of sleep spindles in humans. NeuroImage. 226. 117587–117587. 13 indexed citations
14.
Halgren, Mila, István Ulbert, Hélène Bastuji, et al.. (2019). The generation and propagation of the human alpha rhythm. Proceedings of the National Academy of Sciences. 116(47). 23772–23782. 243 indexed citations
15.
Halgren, Mila, Dániel Fabó, István Ulbert, et al.. (2018). Superficial Slow Rhythms Integrate Cortical Processing in Humans. Scientific Reports. 8(1). 2055–2055. 44 indexed citations
16.
Hagler, Donald J., István Ulbert, Lúcia Wittner, et al.. (2018). Heterogeneous Origins of Human Sleep Spindles in Different Cortical Layers. Journal of Neuroscience. 38(12). 3013–3025. 32 indexed citations
17.
Erőss, Lóránd, László Entz, Dániel Fabó, et al.. (2012). [Role of the intraoperative electrical brain stimulation in conserving the speech and language function in neurosurgical procedures on conscious patients].. PubMed. 65(9-10). 333–41. 1 indexed citations
18.
Cash, Sydney S., Eric Halgren, Nima Dehghani, et al.. (2009). The Human K-Complex Represents an Isolated Cortical Down-State. Science. 324(5930). 1084–1087. 272 indexed citations
19.
Wittner, Lúcia, Gilles Huberfeld, Stéphane Clémenceau, et al.. (2009). The epileptic human hippocampal cornu ammonis 2 region generates spontaneous interictal-like activity in vitro. Brain. 132(11). 3032–3046. 63 indexed citations
20.
Kelemen, Anna, Péter Barsi, Lóránd Erőss, et al.. (2005). Long-term outcome after temporal lobe surgery—Prediction of late worsening of seizure control. Seizure. 15(1). 49–55. 50 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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