Sebastijan Šprager

27 total papers · 770 total citations
25 papers, 585 citations indexed

About

Sebastijan Šprager is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sebastijan Šprager has authored 25 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 13 papers in Cardiology and Cardiovascular Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sebastijan Šprager's work include Non-Invasive Vital Sign Monitoring (15 papers), ECG Monitoring and Analysis (12 papers) and Gait Recognition and Analysis (7 papers). Sebastijan Šprager is often cited by papers focused on Non-Invasive Vital Sign Monitoring (15 papers), ECG Monitoring and Analysis (12 papers) and Gait Recognition and Analysis (7 papers). Sebastijan Šprager collaborates with scholars based in Slovenia and Germany. Sebastijan Šprager's co-authors include Matjaž B. Jurič, Damjan Zazula, Denis Đonlagić, Bjoern M. Eskofier, Christine F. Martindale, Roman Trobec, Julius Hannink, Nils Roth, Imre Cikajlo and Aleš Holobar and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Sebastijan Šprager

25 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sebastijan Šprager	463	182	141	101	76	25	585
Atena Roshan Fekr	311 0.7×	194 1.1×	55 0.4×	71 0.7×	32 0.4×	53	615
Paul Cuddihy	287 0.6×	140 0.8×	90 0.6×	161 1.6×	70 0.9×	24	642
Omid Dehzangi	190 0.4×	111 0.6×	66 0.5×	52 0.5×	31 0.4×	52	636
Kai-Chun Liu	308 0.7×	316 1.7×	55 0.4×	24 0.2×	104 1.4×	47	615
Gabriele Rescio	319 0.7×	230 1.3×	71 0.5×	29 0.3×	72 0.9×	48	565
Enea Cippitelli	405 0.9×	461 2.5×	72 0.5×	28 0.3×	56 0.7×	16	687
Heike Leutheuser	240 0.5×	158 0.9×	35 0.2×	107 1.1×	33 0.4×	46	498
David Mack	373 0.8×	389 2.1×	102 0.7×	114 1.1×	50 0.7×	12	692
Julius Hannink	326 0.7×	169 0.9×	40 0.3×	20 0.2×	235 3.1×	24	671
Dominik Schuldhaus	284 0.6×	263 1.4×	39 0.3×	14 0.1×	120 1.6×	20	578

Countries citing papers authored by Sebastijan Šprager

Since Specialization

Citations

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

Fields of papers citing papers by Sebastijan Šprager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastijan Šprager

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastijan Šprager. A scholar is included among the top collaborators of Sebastijan Šprager 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 Sebastijan Šprager. Sebastijan Šprager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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