Oleksandr Makeyev

1.5k total citations
62 papers, 1.1k citations indexed

About

Oleksandr Makeyev is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Oleksandr Makeyev has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 13 papers in Biomedical Engineering. Recurrent topics in Oleksandr Makeyev's work include EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (20 papers) and Electrochemical Analysis and Applications (8 papers). Oleksandr Makeyev is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (20 papers) and Electrochemical Analysis and Applications (8 papers). Oleksandr Makeyev collaborates with scholars based in United States, Mexico and Spain. Oleksandr Makeyev's co-authors include Edward Sazonov, Walter G. Besio, Stephanie Schuckers, Paulo Lopez‐Meyer, Michael R. Neuman, Edward L. Melanson, Ernst Kussul, John Gaitanis, Nadezhda Sazonova and T. Baidyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Neuroscience.

In The Last Decade

Oleksandr Makeyev

60 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
Oleksandr Makeyev United States 17 207 204 180 160 150 62 1.1k
Marianna Capecci Italy 21 73 0.4× 186 0.9× 142 0.8× 67 0.4× 142 0.9× 56 1.4k
Clint Hansen Germany 23 80 0.4× 564 2.8× 141 0.8× 155 1.0× 140 0.9× 142 1.9k
Jurandir Nadal Brazil 20 115 0.6× 572 2.8× 100 0.6× 205 1.3× 51 0.3× 109 1.5k
Lorenzo Priano Italy 25 42 0.2× 125 0.6× 177 1.0× 296 1.9× 35 0.2× 84 1.6k
Ben Heller United Kingdom 19 48 0.2× 645 3.2× 104 0.6× 167 1.0× 102 0.7× 77 1.1k
Orla Doyle United Kingdom 18 23 0.1× 214 1.0× 53 0.3× 437 2.7× 124 0.8× 42 1.4k
Marco Altini Netherlands 18 59 0.3× 436 2.1× 213 1.2× 141 0.9× 195 1.3× 51 1.3k
M. C. Wong United States 19 123 0.6× 59 0.3× 360 2.0× 291 1.8× 1.3k 8.4× 64 2.7k
Thomas Ploetz United States 19 82 0.4× 198 1.0× 111 0.6× 177 1.1× 364 2.4× 64 1.2k
Hasan Al‐Nashash United Arab Emirates 22 28 0.1× 401 2.0× 71 0.4× 798 5.0× 70 0.5× 151 1.7k

Countries citing papers authored by Oleksandr Makeyev

Since Specialization
Citations

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

Fields of papers citing papers by Oleksandr Makeyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleksandr Makeyev

This figure shows the co-authorship network connecting the top 25 collaborators of Oleksandr Makeyev. A scholar is included among the top collaborators of Oleksandr Makeyev 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 Oleksandr Makeyev. Oleksandr Makeyev 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.
2.
Garcia‐Casado, Javier, Yiyao Ye-Lin, Gema Prats-Boluda, & Oleksandr Makeyev. (2023). Looking for optimal concentric ring electrodes: influence of design aspects on their performance. Measurement Science and Technology. 35(3). 35115–35115. 1 indexed citations
3.
4.
Makeyev, Oleksandr. (2018). Solving the general inter-ring distances optimization problem for concentric ring electrodes to improve Laplacian estimation. BioMedical Engineering OnLine. 17(1). 117–117. 8 indexed citations
5.
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
6.
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
7.
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
8.
Makeyev, Oleksandr, et al.. (2012). Noninvasive Transcranial Focal Stimulation Via Tripolar Concentric Ring Electrodes Lessens Behavioral Seizure Activity of Recurrent Pentylenetetrazole Administrations in Rats. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(3). 383–390. 15 indexed citations
9.
Besio, Walter G., et al.. (2011). Electric fields in hippocampus due to transcranial focal electrical stimulation via concentric ring electrodes. PubMed. 4. 5488–5491. 5 indexed citations
10.
Lopez‐Meyer, Paulo, Stephanie Schuckers, Oleksandr Makeyev, Juan Manuel Fontana, & Edward Sazonov. (2011). Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing. Biomedical Signal Processing and Control. 7(5). 474–480. 13 indexed citations
11.
Liu, Xiang, Oleksandr Makeyev, & Walter G. Besio. (2011). A comparison of tripolar concentric ring electrode and spline laplacians on a four-layer concentric spherical model. PubMed. 16. 2949–2952. 1 indexed citations
12.
Lopez‐Meyer, Paulo, Stephanie Schuckers, Oleksandr Makeyev, & Edward Sazonov. (2010). Detection of periods of food intake using Support Vector Machines. PubMed. 29. 1004–1007. 20 indexed citations
13.
Baidyk, Tatiana, et al.. (2009). Pattern Recognition for Micro Workpieces Manufacturing. Computación y Sistemas. 13(1). 61–74. 1 indexed citations
14.
Sazonov, Edward, Stephanie Schuckers, Paulo Lopez‐Meyer, et al.. (2009). Toward Objective Monitoring of Ingestive Behavior in Free‐living Population. Obesity. 17(10). 1971–1975. 63 indexed citations
15.
Sazonov, Edward, Stephanie Schuckers, Paulo Lopez‐Meyer, et al.. (2008). Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior. Physiological Measurement. 29(5). 525–541. 135 indexed citations
16.
Kussul, Ernst, T. Baidyk, Oleksandr Makeyev, et al.. (2007). Development of micro mirror solar concentrator. International Conference on Energy & Environment. 293–298. 8 indexed citations
17.
Sazonov, Edward, et al.. (2007). Automatic recognition of postural allocations. Conference proceedings. 307. 4993–4996. 4 indexed citations
18.
Makeyev, Oleksandr, et al.. (2007). Limited receptive area neural classifier for recognition of swallowing sounds using continuous wavelet transform. Conference proceedings. 2007. 3128–3131. 8 indexed citations
19.
Kussul, Ernst, et al.. (2006). Permutation Coding Technique for Image Recognition Systems. IEEE Transactions on Neural Networks. 17(6). 1566–1579. 43 indexed citations
20.
Kussul, Ernst, et al.. (2003). Image Recognition System for Microdevice Assembly.. Applied Informatics. 243–248. 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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