Ervin Sejdić

12.9k total citations · 4 hit papers
253 papers, 6.6k citations indexed

About

Ervin Sejdić is a scholar working on Speech and Hearing, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Ervin Sejdić has authored 253 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Speech and Hearing, 63 papers in Pulmonary and Respiratory Medicine and 63 papers in Physiology. Recurrent topics in Ervin Sejdić's work include Dysphagia Assessment and Management (74 papers), Voice and Speech Disorders (57 papers) and Tracheal and airway disorders (44 papers). Ervin Sejdić is often cited by papers focused on Dysphagia Assessment and Management (74 papers), Voice and Speech Disorders (57 papers) and Tracheal and airway disorders (44 papers). Ervin Sejdić collaborates with scholars based in United States, Canada and Montenegro. Ervin Sejdić's co-authors include Igor Djurović, Jin Jiang, James L. Coyle, Tom Chau, Ljubiša Stanković, Catriona M. Steele, Zhenwei Zhang, Yassin Khalifa, Joshua M. Dudik and Kara Bocan and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Ervin Sejdić

240 papers receiving 6.4k citations

Hit Papers

Time–frequency feature representation using energy concen... 2008 2026 2014 2020 2008 2010 2017 2023 100 200 300 400 500

Peers

Ervin Sejdić
Comparison fields: 5 of 190
  • Speech and Hearing 1.3k
  • Pulmonary and Respiratory Medicine 1.2k
  • Biomedical Engineering 1.1k
  • Physiology 1.1k
  • Cognitive Neuroscience 774
Replace Andréa Aliverti with:
Andréa Aliverti Italy
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Fei Chen China
Patrick McSharry United Kingdom
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Andréa Aliverti Italy View profile →
Citations per field, relative to Ervin Sejdić
Ervin Sejdić · 1×
Citations per year, relative to Ervin Sejdić
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Countries citing papers authored by Ervin Sejdić

Since Specialization
Citations

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

Fields of papers citing papers by Ervin Sejdić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ervin Sejdić

This figure shows the co-authorship network connecting the top 25 collaborators of Ervin Sejdić. A scholar is included among the top collaborators of Ervin Sejdić 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 Ervin Sejdić. Ervin Sejdić 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
# Work Indexed citations
1 1
2 0
3 5
4 1
5 1
6 16
7 3
8 0
9
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction breakdown →
134
10 3
11 3
12 32
13 18
14 7
15 11
16 257
17 15
18 3
19
Time-frequency representations based on compressive samples
7
20
Time–frequency feature representation using energy concentration: An overview of recent advances breakdown →
547

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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