Umit Yapanel

4.2k citations
25 papers · 3.1k indexed · 1 hit paper · h-index 15

Umit Yapanel

24 papers receiving 2.9k citations

Hit Papers

A Population-Based Study2009202620142020200950010001.5k

Peers

Umit Yapanel
Comparison fields: 5 of 153
  • Developmental and Educational Psychology 666
  • Education 453
  • Cognitive Neuroscience 397
  • Surgery 365
  • Clinical Psychology 348
Replace Dongxin Xu with:
Dongxin Xu United States
Catherine M. Hill United Kingdom
David Gordon United States
R. H. Largo Switzerland
Bevan Yueh United States
Nelson Roy United States
Thomas Murry United States
Patrick Marquis France
Risto Bloigu Finland
Elise P. Jansma Netherlands
Umit Yapanel relative to Dongxin Xu United States Dongxin Xu's profile →
Citations per field
00.5×1.5×
Dongxin Xu · 1×
Citations per year

Countries citing papers authored by Umit Yapanel

Since Specialization
Citations

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

Fields of papers citing papers by Umit Yapanel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umit Yapanel

This figure shows the co-authorship network connecting the top 25 collaborators of Umit Yapanel. A scholar is included among the top collaborators of Umit Yapanel 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 Umit Yapanel. Umit Yapanel 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 19
2
GMM-Based Efficient Language Identification
0
3 265
4 33
5 151
6 236
7 1
8 15
9 1
10 68
11 2
12 3
13 15
14 34
15 12
16 12
17
CU-move": Analysis & corpus development for interactive in-vehicle speech systems
21
18 13
19 9
20 18

About Umit Yapanel

Umit Yapanel is a scholar working on Pharmacy, Signal Processing and Artificial Intelligence, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Developmental and Educational Psychology (666 citations), Pharmacy (182 citations) and Signal Processing (258 citations). Umit Yapanel has collaborated with scholars based in United States and Austria. Frequent co-authors include Dongxin Xu, Jeffrey A. Richards, Frederick J. Zimmerman, Dimitri Christakis, Michelle M. Garrison, Sharmistha Gray, Jill Gilkerson, John H. L. Hansen, D. Kimbrough Oller and Steven F. Warren. Their work appears in journals such as Proceedings of the National Academy of Sciences, PEDIATRICS and Journal of Autism and Developmental Disorders.

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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