Rositsa Raikova

912 total citations
49 papers, 675 citations indexed

About

Rositsa Raikova is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Rositsa Raikova has authored 49 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 31 papers in Cognitive Neuroscience and 12 papers in Orthopedics and Sports Medicine. Recurrent topics in Rositsa Raikova's work include Muscle activation and electromyography studies (45 papers), Motor Control and Adaptation (29 papers) and Sports Performance and Training (12 papers). Rositsa Raikova is often cited by papers focused on Muscle activation and electromyography studies (45 papers), Motor Control and Adaptation (29 papers) and Sports Performance and Training (12 papers). Rositsa Raikova collaborates with scholars based in Bulgaria, Poland and Canada. Rositsa Raikova's co-authors include Hristo Aladjov, Boris I. Prilutsky, Jan Celichowski, Piotr Krutki, Ivaylo Christov, Simeon Ribagin, Włodzimierz Mrówczyński, David A. Gabriel, Maria Angelova and Erik Stålberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Rositsa Raikova

47 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rositsa Raikova Bulgaria 15 546 309 126 122 79 49 675
Alexander Adam United States 8 839 1.5× 539 1.7× 296 2.3× 187 1.5× 32 0.4× 9 1.0k
Chandler A. Phillips United States 16 526 1.0× 203 0.7× 162 1.3× 96 0.8× 66 0.8× 48 831
Wanxiang Yao United States 7 394 0.7× 350 1.1× 165 1.3× 123 1.0× 48 0.6× 19 604
Carlo J. DeLuca United States 4 551 1.0× 348 1.1× 153 1.2× 177 1.5× 33 0.4× 6 744
L.R. Lo Conte Italy 9 578 1.1× 220 0.7× 164 1.3× 132 1.1× 26 0.3× 11 714
Simon Avrillon France 15 460 0.8× 277 0.9× 234 1.9× 135 1.1× 37 0.5× 29 627
D. Gamet France 11 397 0.7× 184 0.6× 158 1.3× 85 0.7× 29 0.4× 23 536
Daniel F. B. Haeufle Germany 17 642 1.2× 198 0.6× 77 0.6× 27 0.2× 33 0.4× 49 801
Javier Rodríguez-Falces Spain 14 483 0.9× 154 0.5× 182 1.4× 179 1.5× 18 0.2× 70 614
G.V. Dimitrov Bulgaria 16 920 1.7× 325 1.1× 373 3.0× 279 2.3× 33 0.4× 31 1.1k

Countries citing papers authored by Rositsa Raikova

Since Specialization
Citations

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

Fields of papers citing papers by Rositsa Raikova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rositsa Raikova

This figure shows the co-authorship network connecting the top 25 collaborators of Rositsa Raikova. A scholar is included among the top collaborators of Rositsa Raikova 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 Rositsa Raikova. Rositsa Raikova 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.
Raikova, Rositsa, Piotr Krutki, & Jan Celichowski. (2023). Skeletal muscle models composed of motor units: A review. Journal of Electromyography and Kinesiology. 70. 102774–102774. 6 indexed citations
3.
Raikova, Rositsa, et al.. (2022). Experimental Testing of a Prototype of an Active Elbow Orthosis Based on in vivo Investigation of Elbow Flexion/Extension of Healthy Subjects. SHILAP Revista de lepidopterología. 26(2). 161–174. 1 indexed citations
4.
5.
Raikova, Rositsa, et al.. (2020). Biomechanical conditioning of the motor unit transitory force decrease following a reduction in stimulation rate. BMC Sports Science Medicine and Rehabilitation. 12(1). 60–60. 2 indexed citations
6.
Christov, Ivaylo, et al.. (2018). Separation of electrocardiographic from electromyographic signals using dynamic filtration. Medical Engineering & Physics. 57(1). 1–10. 20 indexed citations
7.
Celichowski, Jan, et al.. (2018). Factors contributing to sag in unfused tetanic contractions of fast motor units in rat medial gastrocnemius. Journal of Electromyography and Kinesiology. 44. 70–77. 4 indexed citations
8.
Raikova, Rositsa, et al.. (2016). Changes in EMG Activities of Upper Arm Muscles and in Shoulder Joint Angles in Post-stroke Patients. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Raikova, Rositsa, Piotr Krutki, & Jan Celichowski. (2016). A General Mathematical Algorithm for Predicting the Course of Unfused Tetanic Contractions of Motor Units in Rat Muscle. PLoS ONE. 11(9). e0162385–e0162385. 5 indexed citations
10.
Raikova, Rositsa, et al.. (2016). Prolonged activity evokes potentiation and the “sag” phenomenon in slow motor units of rat soleus. Acta Neurobiologiae Experimentalis. 76(2). 152–157. 3 indexed citations
11.
Raikova, Rositsa, Hristo Aladjov, Piotr Krutki, & Jan Celichowski. (2015). Estimation of the error between experimental tetanic force curves of MUs of rat medial gastrocnemius muscle and their models by summation of equal successive contractions. Computer Methods in Biomechanics & Biomedical Engineering. 19(7). 763–770. 4 indexed citations
12.
Mrówczyński, Włodzimierz, Jan Celichowski, Rositsa Raikova, & Piotr Krutki. (2015). Physiological consequences of doublet discharges on motoneuronal firing and motor unit force. Frontiers in Cellular Neuroscience. 9. 81–81. 19 indexed citations
13.
Raikova, Rositsa, et al.. (2014). An Approach for Experimental Investigation of Muscle Activities of the Upper Limbs (Right versus Left Arm) of Healthy Subjects and Post-stroke Patients - A Preliminary Study. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Krutki, Piotr, Włodzimierz Mrówczyński, Rositsa Raikova, & Jan Celichowski. (2013). Concomitant changes in afterhyperpolarization and twitch following repetitive stimulation of fast motoneurones and motor units. Experimental Brain Research. 232(2). 443–452. 5 indexed citations
15.
Celichowski, Jan, et al.. (2008). Model-generated decomposition of unfused tetani of motor units evoked by random stimulation. Journal of Biomechanics. 41(16). 3448–3454. 14 indexed citations
16.
Raikova, Rositsa, et al.. (2007). Variability of successive contractions subtracted from unfused tetanus of fast and slow motor units. Journal of Electromyography and Kinesiology. 18(5). 741–751. 31 indexed citations
17.
Raikova, Rositsa, David A. Gabriel, & Hristo Aladjov. (2004). Experimental and modelling investigation of learning a fast elbow flexion in the horizontal plane. Journal of Biomechanics. 38(10). 2070–2077. 11 indexed citations
18.
Raikova, Rositsa & Hristo Aladjov. (2004). Comparison between two muscle models under dynamic conditions. Computers in Biology and Medicine. 35(5). 373–387. 5 indexed citations
19.
Raikova, Rositsa & Hristo Aladjov. (2003). Simulation of the motor units control during a fast elbow flexion in the sagittal plane. Journal of Electromyography and Kinesiology. 14(2). 227–238. 7 indexed citations
20.
Raikova, Rositsa & Hristo Aladjov. (2002). Hierarchical genetic algorithm versus static optimization—investigation of elbow flexion and extension movements. Journal of Biomechanics. 35(8). 1123–1135. 41 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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