Khalid Iqbal

785 total citations
4 papers, 23 citations indexed

About

Khalid Iqbal is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Khalid Iqbal has authored 4 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Khalid Iqbal's work include Human Pose and Action Recognition (2 papers), Human Motion and Animation (2 papers) and 3D Shape Modeling and Analysis (2 papers). Khalid Iqbal is often cited by papers focused on Human Pose and Action Recognition (2 papers), Human Motion and Animation (2 papers) and 3D Shape Modeling and Analysis (2 papers). Khalid Iqbal collaborates with scholars based in China, Pakistan and Poland. Khalid Iqbal's co-authors include Hongwei Hao, Xu-Cheng Yin, Hazrat Ali, Mingquan Zhou, Joanna Rosak-Szyrocka, Zhongke Wu, Sajid Ali, Muhammad Irfan and Muhammad Imran Sharif and has published in prestigious journals such as PeerJ Computer Science, Science and Technology of Nuclear Installations and International Journal of Computer Theory and Engineering.

In The Last Decade

Khalid Iqbal

3 papers receiving 23 citations

Peers

Khalid Iqbal
J. Pallotta Argentina
Anikait Singh United States
Aleksei Sholokhov United States
K. Suresh India
L. Chen China
Robert J. Lygoe United Kingdom
J. Pallotta Argentina
Khalid Iqbal
Citations per year, relative to Khalid Iqbal Khalid Iqbal (= 1×) peers J. Pallotta

Countries citing papers authored by Khalid Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Iqbal

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

All Works

4 of 4 papers shown
1.
Iqbal, Khalid, et al.. (2024). Attention-aware with stacked embedding for sentiment analysis of student feedback through deep learning techniques. PeerJ Computer Science. 10. e2283–e2283. 4 indexed citations
2.
Yin, Xu-Cheng, et al.. (2016). A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants. Science and Technology of Nuclear Installations. 2016. 1–17. 16 indexed citations
3.
Wu, Zhongke, et al.. (2014). Automatic Conversion of Human Mesh into Skeleton Animation by Using Kinect Motion. International Journal of Computer Theory and Engineering. 7(6). 482–488. 3 indexed citations
4.
Wu, Zhongke, et al.. (2014). Automatic Generation of Skeleton Animation from 3D Human Mesh Model. 24. 130–136.

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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