Asif Salekin

1.1k citations
34 papers · 345 indexed · h-index 8
Topics
Emotion and Mood Recognition (6 papers)Music and Audio Processing (6 papers)Speech and Audio Processing (4 papers)

In The Last Decade

Asif Salekin

32 papers receiving 329 citations

Peers

Asif Salekin
Comparison fields: 5 of 94
  • Artificial Intelligence 118
  • Health Information Management 82
  • Experimental and Cognitive Psychology 71
  • Applied Psychology 34
  • Biomedical Engineering 34
Replace Stanisław Saganowski with:
Stanisław Saganowski Poland
Otilia Kocsis Greece
João Palotti Austria
Hatoon S. AlSagri Saudi Arabia
Louis Mayaud France
Loukas Ilias Greece
Jonathan Rubin United States
Felip Miralles Spain
David Suendermann‐Oeft United States
A. Priya India
Asif Salekin relative to Stanisław Saganowski Poland Stanisław Saganowski's profile →
Citations per field
00.5×1.5×1.8×
Stanisław Saganowski · 1×
Citations per year

Countries citing papers authored by Asif Salekin

Since Specialization
Citations

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

Fields of papers citing papers by Asif Salekin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asif Salekin

This figure shows the co-authorship network connecting the top 25 collaborators of Asif Salekin. A scholar is included among the top collaborators of Asif Salekin 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 Asif Salekin. Asif Salekin 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
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 38
6 5
7 1
8 3
9 7
10 4
11 30
12 1
13 3
14 59
15 9
16 4
17 1
18 4
19 2
20 7

About Asif Salekin

Asif Salekin is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Human-Computer Interaction, having authored 34 papers that have together received 345 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Health Information Management (82 citations), Health Informatics (9 citations) and Applied Psychology (34 citations). Asif Salekin has collaborated with scholars based in United States, Bangladesh and South Korea. Frequent co-authors include John A. Stankovic, Jeremy William Eberle, Jeffrey J. Glenn, Bethany A. Teachman, Fanxin Kong, Lin Zhang, Xiyuan Liu, Zhen Ma, Huaxiao Yang and Shahriar Nirjon. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Speech Language and Hearing Research and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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