Vahid Kazemi

3.1k citations
5 papers · 1.8k indexed · 1 hit paper · h-index 5
Topics
Face recognition and analysis (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)Video Surveillance and Tracking Methods (3 papers)
Journals
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Partner nations
SwedenUnited States

In The Last Decade

Vahid Kazemi

5 papers receiving 1.7k citations

Hit Papers

One millisecond face alignment with an ensemble of regres...2014202620182022201450010001.5k

Peers

Vahid Kazemi
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 430
  • Experimental and Cognitive Psychology 367
  • Human-Computer Interaction 219
  • Cognitive Neuroscience 135
Replace Christos Sagonas with:
Christos Sagonas United Kingdom
Akshay Asthana Australia
Xiangxin Zhu United States
Michael Reale United States
Epameinondas Antonakos United Kingdom
Evangelos Ververas United Kingdom
Shaun Canavan United States
Erik Murphy-Chutorian United States
Shigeo Morishima Japan
Vahid Kazemi relative to Christos Sagonas United Kingdom Christos Sagonas's profile →
Citations per field
00.5×1.7×
Christos Sagonas · 1×
Citations per year

Countries citing papers authored by Vahid Kazemi

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Kazemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Kazemi

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Kazemi. A scholar is included among the top collaborators of Vahid Kazemi 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 Vahid Kazemi. Vahid Kazemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
One millisecond face alignment with an ensemble of regression treesbreakdown →
1733
2 17
3 48
4 9
5 12

About Vahid Kazemi

Vahid Kazemi is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 1.8k indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (430 citations) and Human-Computer Interaction (219 citations). Vahid Kazemi has collaborated with scholars based in Sweden and United States. Frequent co-authors include Josephine Sullivan, Hossein Azizpour, Shahram Izadi, Jonathan M. Taylor, Cem Keskin and Pushmeet Kohli. Their work appears in journals such as KTH Publication Database DiVA (KTH Royal Institute of Technology).

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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