Nasser Kehtarnavaz

9.2k citations
310 papers · 6.1k indexed · 2 hit papers · h-index 38
Topics
Speech and Audio Processing (54 papers)Advanced Vision and Imaging (34 papers)Medical Image Segmentation Techniques (32 papers)
Partner nations
United StatesChinaIran

In The Last Decade

Nasser Kehtarnavaz

296 papers receiving 5.8k citations

Hit Papers

UTD-MHAD: A multimodal dataset for human action recogniti...201520262018202220152023100200300400500

Peers

Nasser Kehtarnavaz
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 3.5k
  • Biomedical Engineering 1.5k
  • Artificial Intelligence 1.3k
  • Human-Computer Interaction 930
  • Signal Processing 660
Replace Thomas B. Moeslund with:
Thomas B. Moeslund Denmark
Gary Bradski United States
Dimitris Metaxas United States
Sérgio Escalera Spain
Hang Zhao United States
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Yichen Wei China
Bir Bhanu United States
Yingli Tian United States
Nasser Kehtarnavaz relative to Thomas B. Moeslund Denmark Thomas B. Moeslund's profile →
Citations per field
00.5×1.5×
Thomas B. Moeslund · 1×
Citations per year

Countries citing papers authored by Nasser Kehtarnavaz

Since Specialization
Citations

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

Fields of papers citing papers by Nasser Kehtarnavaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasser Kehtarnavaz

This figure shows the co-authorship network connecting the top 25 collaborators of Nasser Kehtarnavaz. A scholar is included among the top collaborators of Nasser Kehtarnavaz 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 Nasser Kehtarnavaz. Nasser Kehtarnavaz 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 1
2 5
3 2
4 0
5 0
6 1
7
Deep Learning-based Human Pose Estimation: A Surveybreakdown →
250
8 2
9 24
10 2
11 8
12 2
13
Real-Time Head Pose Estimation on Mobile Platforms
7
14 25
15 2
16
Lab VIEW-Based Software-Defined Radio: 4-QAM Modem
3
17 18
18 15
19
VIDEOIMAGE SENSING FOR A SMART CONTROLLER AT DIAMOND INTERCHANGES
3
20
A neural network for carrot tip classification
4

About Nasser Kehtarnavaz

Nasser Kehtarnavaz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 310 papers that have together received 6.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (54 papers), Advanced Vision and Imaging (34 papers) and Medical Image Segmentation Techniques (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Human-Computer Interaction (930 citations) and Media Technology (651 citations). Nasser Kehtarnavaz has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Chen Chen, Roozbeh Jafari, Abhishek Sehgal, Haoran Wei, Ali Gholipour, Kui Liu, Arian Azarang, Forough Saki, Norman C. Griswold and Kaundinya Gopinath. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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