Mohammad Shahbakhti

38 total papers · 415 total citations
31 papers, 270 citations indexed

About

Mohammad Shahbakhti is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad Shahbakhti has authored 31 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 14 papers in Signal Processing and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad Shahbakhti's work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (12 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Mohammad Shahbakhti is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (12 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Mohammad Shahbakhti collaborates with scholars based in Iran, Lithuania and Poland. Mohammad Shahbakhti's co-authors include Vaidotas Marozas, Piotr Augustyniak, Michał Wierzchoń, Mojtaba Nazari, Jordi Solé‐Casals, Wei Chen, Jörn M. Horschig, Jeroen Dudink, Willy N. J. M. Colier and Jari Turunen and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Mohammad Shahbakhti

30 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Mohammad Shahbakhti	161	89	54	47	35	31	270
Guillaume Becq	187 1.2×	41 0.5×	34 0.6×	65 1.4×	9 0.3×	30	294
Aya Khalaf	197 1.2×	20 0.2×	104 1.9×	50 1.1×	22 0.6×	28	308
Haoran Ren	96 0.6×	21 0.2×	60 1.1×	126 2.7×	27 0.8×	24	279
G. Kozmann	209 1.3×	42 0.5×	68 1.3×	30 0.6×	18 0.5×	24	316
Ömer Türk	167 1.0×	84 0.9×	34 0.6×	17 0.4×	7 0.2×	23	260
Farzana Khanam	180 1.1×	38 0.4×	68 1.3×	95 2.0×	28 0.8×	18	296
Pekka Loula	127 0.8×	26 0.3×	57 1.1×	65 1.4×	35 1.0×	39	328
Susana Brás	83 0.5×	19 0.2×	100 1.9×	57 1.2×	19 0.5×	54	331
Özlem Karabiber Cura	192 1.2×	82 0.9×	58 1.1×	24 0.5×	12 0.3×	35	294
Feng Shu	87 0.5×	15 0.2×	18 0.3×	78 1.7×	13 0.4×	33	263

Countries citing papers authored by Mohammad Shahbakhti

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Shahbakhti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shahbakhti

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