Walter G. Besio

1.5k total citations
94 papers, 1.1k citations indexed

About

Walter G. Besio is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Walter G. Besio has authored 94 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 51 papers in Cellular and Molecular Neuroscience and 17 papers in Biomedical Engineering. Recurrent topics in Walter G. Besio's work include EEG and Brain-Computer Interfaces (61 papers), Neuroscience and Neural Engineering (50 papers) and Neural dynamics and brain function (16 papers). Walter G. Besio is often cited by papers focused on EEG and Brain-Computer Interfaces (61 papers), Neuroscience and Neural Engineering (50 papers) and Neural dynamics and brain function (16 papers). Walter G. Besio collaborates with scholars based in United States, Mexico and China. Walter G. Besio's co-authors include Oleksandr Makeyev, Kanthaiah Koka, А. В. Медведев, John Gaitanis, Xiaodi Chen, Barbara S. Stonestreet, Grazyna B. Sadowska, William A. Banks, Erin E. Cummings and Xiang Liu and has published in prestigious journals such as The FASEB Journal, Neuroscience and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Walter G. Besio

88 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter G. Besio United States 19 497 417 215 164 140 94 1.1k
Matthew Ward United States 20 466 0.9× 516 1.2× 233 1.1× 255 1.6× 91 0.7× 56 1.4k
Aljoscha Thomschewski Austria 20 638 1.3× 295 0.7× 66 0.3× 141 0.9× 106 0.8× 46 1.1k
Alan Lai Australia 15 477 1.0× 302 0.7× 38 0.2× 101 0.6× 128 0.9× 38 724
Corrado Cescon Switzerland 24 557 1.1× 277 0.7× 1.1k 5.1× 37 0.2× 79 0.6× 101 1.8k
Jean Faber Brazil 18 296 0.6× 271 0.6× 241 1.1× 42 0.3× 43 0.3× 92 1.2k
Silvia Francesca Storti Italy 25 923 1.9× 212 0.5× 148 0.7× 289 1.8× 231 1.6× 86 1.5k
William Craelius United States 23 384 0.8× 470 1.1× 648 3.0× 42 0.3× 88 0.6× 67 1.9k
Richard W. Marsh United States 12 456 0.9× 535 1.3× 76 0.4× 58 0.4× 125 0.9× 20 1.1k
Iahn Cajigas United States 18 372 0.7× 274 0.7× 222 1.0× 106 0.6× 339 2.4× 72 1.0k
Masaki Iwasaki Japan 20 738 1.5× 574 1.4× 78 0.4× 73 0.4× 247 1.8× 156 1.8k

Countries citing papers authored by Walter G. Besio

Since Specialization
Citations

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

Fields of papers citing papers by Walter G. Besio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter G. Besio. 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 Walter G. Besio. The network helps show where Walter G. Besio may publish in the future.

Co-authorship network of co-authors of Walter G. Besio

This figure shows the co-authorship network connecting the top 25 collaborators of Walter G. Besio. A scholar is included among the top collaborators of Walter G. Besio 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 Walter G. Besio. Walter G. Besio 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.
Adhikari, Kaushallya, et al.. (2024). SVM for Classification of Ten-Finger Imagined Movements using tEEG Signals. 557–561.
2.
Besio, Walter G., et al.. (2024). Conductive Hydrogel Tapes for Tripolar EEG: A Promising Solution to Paste-Related Challenges. Sensors. 24(13). 4222–4222. 3 indexed citations
3.
4.
Mankodiya, Kunal, et al.. (2023). A case for hybrid BCIs: combining optical and electrical modalities improves accuracy. Frontiers in Human Neuroscience. 17. 1162712–1162712. 1 indexed citations
5.
Adhikari, Kaushallya, et al.. (2022). Language Mapping using tEEG and EEG Data with Convolutional Neural Networks. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4060–4063. 4 indexed citations
6.
Martínez‐Juárez, Iris E., John Gaitanis, Andrew S. Blum, et al.. (2019). Source localization of high-frequency activity in tripolar electroencephalography of patients with epilepsy. Epilepsy & Behavior. 101(Pt A). 106519–106519. 19 indexed citations
7.
Makeyev, Oleksandr & Walter G. Besio. (2016). Improving the Accuracy of Laplacian Estimation with Novel Variable Inter-Ring Distances Concentric Ring Electrodes. Sensors. 16(6). 858–858. 17 indexed citations
8.
Makeyev, Oleksandr, Quan Ding, & Walter G. Besio. (2015). Improving the accuracy of Laplacian estimation with novel multipolar concentric ring electrodes. Measurement. 80. 44–52. 19 indexed citations
9.
Besio, Walter G., et al.. (2014). Significant improvement in one-dimensional cursor control using Laplacian electroencephalography over electroencephalography. Journal of Neural Engineering. 11(3). 35014–35014. 27 indexed citations
10.
Chen, Xiaodi, Grazyna B. Sadowska, Jiyong Zhang, et al.. (2014). Neutralizing anti-interleukin-1β antibodies modulate fetal blood–brain barrier function after ischemia. Neurobiology of Disease. 73. 118–129. 39 indexed citations
11.
Besio, Walter G., Iris E. Martínez‐Juárez, Oleksandr Makeyev, et al.. (2014). High-Frequency Oscillations Recorded on the Scalp of Patients With Epilepsy Using Tripolar Concentric Ring Electrodes. IEEE Journal of Translational Engineering in Health and Medicine. 2. 1–11. 39 indexed citations
12.
Bartels, G., et al.. (2013). Human seizure detection using quadratic Rényi entropy. 815–818. 5 indexed citations
13.
Besio, Walter G., Oleksandr Makeyev, А. В. Медведев, & Karen Gale. (2013). Effects of transcranial focal electrical stimulation via tripolar concentric ring electrodes on pentylenetetrazole-induced seizures in rats. Epilepsy Research. 105(1-2). 42–51. 16 indexed citations
14.
Makeyev, Oleksandr, Quan Ding, Steven Kay, & Walter G. Besio. (2012). Sensor integration of multiple tripolar concentric ring electrodes improves pentylenetetrazole-induced seizure onset detection in rats. Journal of Media Literacy Education. 2012. 5154–7. 4 indexed citations
15.
Chen, Xiaodi, Steven W. Threlkeld, Erin E. Cummings, et al.. (2012). Ischemia–reperfusion impairs blood–brain barrier function and alters tight junction protein expression in the ovine fetus. Neuroscience. 226. 89–100. 62 indexed citations
16.
Besio, Walter G., et al.. (2010). The Effects of Concentric Ring Electrode Electrical Stimulation on Rat Skin. Annals of Biomedical Engineering. 38(3). 1111–1118. 17 indexed citations
17.
Besio, Walter G., et al.. (2006). Development of a Tri-polar Concentric Ring Electrode for Acquiring Accurate Laplacian Body Surface Potentials. Annals of Biomedical Engineering. 34(3). 426–435. 47 indexed citations
18.
Li, Gang, et al.. (2005). The Feasibility Study of the Laplacian Electrode for EEG. PubMed. 112. 4670–4673. 1 indexed citations
19.
He, Feng, et al.. (2005). A guideline for Parameter Design of Body Surface Laplacian Electrodes and its Application in EGG Detection. PubMed. 27. 2777–2780. 2 indexed citations
20.
Besio, Walter G., et al.. (2005). Simulated Comparison of Disc and Concentric Electrode Maps During Atrial Arrhythmias.. 3 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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