Roman Čmejla

2.3k citations
48 papers · 1.6k indexed · h-index 17

Roman Čmejla

46 papers receiving 1.6k citations

Peers

Roman Čmejla
Comparison fields: 5 of 139
  • Speech and Hearing 387
  • Physiology 1.0k
  • Experimental and Cognitive Psychology 347
  • Signal Processing 257
  • Neurology 351
Replace Tereza Tykalová with:
Tereza Tykalová Czechia
Jan Rusz Czechia
Hanjun Liu China
John R. Westbury United States
Aaron M. Johnson United States
Shigeru Kiritani Japan
Roozbeh Behroozmand United States
Kimitaka Kaga Japan
Anders Löfqvist United States
David A. Eddins United States
Roman Čmejla relative to Tereza Tykalová Czechia Tereza Tykalová's profile →
Citations per field
00.5×1.5×2.4×
Tereza Tykalová · 1×
Citations per year

Countries citing papers authored by Roman Čmejla

Since Specialization
Citations

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

Fields of papers citing papers by Roman Čmejla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Roman Čmejla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roman Čmejla Line = papers co-authored together Roman Čmejla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202012
3 2017251
4 201652
5 201625
6 20156
7 201413
8 201499
9 201430
10 201413
11
Segmentation of surface EMG signals
20133
12 201326
13
The severity rating of developmental dysphasia by utterances from 5–7 years old patients
20123
14 201262
15
Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease.
201110
16
Change evaluation of Bayesian detector for dysfluent speech assessment
20110
17
Objectification of dysarthria in Parkinson's disease using Bayes theorem
20116
18
Parameters for mean blood pressure estimation based on electrocardiography and photoplethysmography
20119
19 20095
20
Improved detection of boundaries of phonemes in speech databases
20073

About Roman Čmejla

Roman Čmejla is a scholar working on Experimental and Cognitive Psychology, Physiology and Speech and Hearing, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Voice and Speech Disorders (24 papers), Phonetics and Phonology Research (14 papers), Speech Recognition and Synthesis (10 papers), Neurological disorders and treatments (8 papers), EEG and Brain-Computer Interfaces (8 papers), Stuttering Research and Treatment (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Speech and Hearing (387 citations), Physiology (1.0k citations) and Experimental and Cognitive Psychology (347 citations). Roman Čmejla has collaborated with scholars based in Czechia, United Kingdom and Croatia. Frequent co-authors include Jan Rusz, Evžen Růžička, Tereza Tykalová, Jiří Klempíř, Jan Hlavnička, Hana Růžičková, Jan Roth, Karel Šonka, Michal Novotný and Veronika Majerová. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

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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