Gurkirt Singh

762 total citations
6 papers, 102 citations indexed

About

Gurkirt Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Gurkirt Singh has authored 6 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Automotive Engineering. Recurrent topics in Gurkirt Singh's work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Multimodal Machine Learning Applications (2 papers). Gurkirt Singh is often cited by papers focused on Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Multimodal Machine Learning Applications (2 papers). Gurkirt Singh collaborates with scholars based in Switzerland, United Kingdom and Italy. Gurkirt Singh's co-authors include Fabio Cuzzolin, Suman Saha, Salman Khan, Reza Javanmard Alitappeh, Giuseppe Di Gironimo, Andrew Bradley, Stanislao Grazioso, Fisher Yu, Vasileios Choutas and Luc Van Gool and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Gurkirt Singh

5 papers receiving 95 citations

Peers

Gurkirt Singh
Comparison fields: 5 of 28
  • Computer Vision and Pattern Recognition 74
  • Artificial Intelligence 48
  • Automotive Engineering 23
  • Ocean Engineering 7
  • Building and Construction 6
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Citations per field, relative to Gurkirt Singh
Gurkirt Singh · 1×
Citations per year, relative to Gurkirt Singh
Gurkirt Singh · 1×

Countries citing papers authored by Gurkirt Singh

Since Specialization
Citations

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

Fields of papers citing papers by Gurkirt Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurkirt Singh

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2 6
3 65
4 23
5
Online Real time Multiple Spatiotemporal Action Localisation and Prediction on a Single Platform
6
6 1

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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