M. Skubic

36 total papers · 892 total citations
32 papers, 659 citations indexed

About

M. Skubic is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Skubic has authored 32 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Control and Systems Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Skubic's work include Gait Recognition and Analysis (9 papers), Robot Manipulation and Learning (9 papers) and Teleoperation and Haptic Systems (7 papers). M. Skubic is often cited by papers focused on Gait Recognition and Analysis (9 papers), Robot Manipulation and Learning (9 papers) and Teleoperation and Haptic Systems (7 papers). M. Skubic collaborates with scholars based in United States, Belgium and Japan. M. Skubic's co-authors include Richard A. Volz, Samuel Blisard, Magda Bugajska, Dennis Perzanowski, Derek Brock, Anna Charlotte Schultz, William Adams, Marilyn Rantz, Mihail Popescu and Liang Liu and has published in prestigious journals such as IEEE Transactions on Robotics and Automation, American Journal of Veterinary Research and Gerontechnology.

In The Last Decade

M. Skubic

30 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
M. Skubic	247	210	197	161	92	32	659
Danijela Ristić–Durrant	223 0.9×	154 0.7×	245 1.2×	67 0.4×	28 0.3×	47	752
V. Genovese	197 0.8×	63 0.3×	288 1.5×	80 0.5×	125 1.4×	33	626
Gu‐Min Jeong	215 0.9×	89 0.4×	228 1.2×	68 0.4×	43 0.5×	73	639
Maria Kyrarini	130 0.5×	165 0.8×	125 0.6×	116 0.7×	26 0.3×	44	554
Martin J.-D. Otis	133 0.5×	295 1.4×	320 1.6×	38 0.2×	109 1.2×	60	786
Alberto Brunete	234 0.9×	132 0.6×	333 1.7×	81 0.5×	43 0.5×	48	684
Xavier Savatier	354 1.4×	61 0.3×	227 1.2×	58 0.4×	45 0.5×	48	794
Sabrina Iarlori	145 0.6×	188 0.9×	88 0.4×	56 0.3×	50 0.5×	36	673
Martin Do	262 1.1×	460 2.2×	286 1.5×	114 0.7×	26 0.3×	24	701
Rémi Boutteau	265 1.1×	64 0.3×	150 0.8×	53 0.3×	37 0.4×	35	703

Countries citing papers authored by M. Skubic

Since Specialization

Citations

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

Fields of papers citing papers by M. Skubic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Skubic

This figure shows the co-authorship network connecting the top 25 collaborators of M. Skubic. A scholar is included among the top collaborators of M. Skubic 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 M. Skubic. M. Skubic 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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