Khalid Bashir

1.1k total citations
11 papers, 748 citations indexed

About

Khalid Bashir is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Health Information Management. According to data from OpenAlex, Khalid Bashir has authored 11 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 2 papers in Health Information Management. Recurrent topics in Khalid Bashir's work include Human Pose and Action Recognition (8 papers), Gait Recognition and Analysis (6 papers) and Artificial Intelligence in Healthcare (2 papers). Khalid Bashir is often cited by papers focused on Human Pose and Action Recognition (8 papers), Gait Recognition and Analysis (6 papers) and Artificial Intelligence in Healthcare (2 papers). Khalid Bashir collaborates with scholars based in United Kingdom, Pakistan and Saudi Arabia. Khalid Bashir's co-authors include Tao Xiang, Shaogang Gong, Muhammad Tariq Mahmood, Rehan Ashraf, Aun Irtaza, Faisal Azam, Muhammad Younus Javed, Muhammad Attique Khan, Muhammad Sharif and Waqas Nawaz and has published in prestigious journals such as Pattern Recognition Letters, Entropy and KSII Transactions on Internet and Information Systems.

In The Last Decade

Khalid Bashir

10 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Khalid Bashir United Kingdom 9 670 647 251 116 53 11 748
Rijun Liao United States 6 506 0.8× 544 0.8× 219 0.9× 65 0.6× 122 2.3× 12 597
Isidro Robledo Vega United States 3 730 1.1× 754 1.2× 257 1.0× 155 1.3× 49 0.9× 5 852
Chi Xu China 13 593 0.9× 605 0.9× 191 0.8× 83 0.7× 124 2.3× 37 714
Francisco M. Castro Spain 12 306 0.5× 333 0.5× 111 0.4× 74 0.6× 43 0.8× 29 414
Daoliang Tan China 4 738 1.1× 789 1.2× 252 1.0× 122 1.1× 119 2.2× 4 840
Nikolaos V. Boulgouris United Kingdom 9 331 0.5× 255 0.4× 100 0.4× 63 0.5× 14 0.3× 17 428
Rawesak Tanawongsuwan United States 5 231 0.3× 163 0.3× 76 0.3× 36 0.3× 8 0.2× 9 267
Xueyi Wang Netherlands 6 186 0.3× 126 0.2× 20 0.1× 59 0.5× 8 0.2× 10 298
Srijan Das United States 9 255 0.4× 78 0.1× 33 0.1× 150 1.3× 3 0.1× 22 308

Countries citing papers authored by Khalid Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Bashir

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

All Works

11 of 11 papers shown
1.
Nawaz, Waqas, et al.. (2020). A Review on Path Selection and Navigation Approaches Towards an Assisted Mobility of Visually Impaired People. KSII Transactions on Internet and Information Systems. 14(8). 3 indexed citations
2.
Azam, Faisal, et al.. (2018). Human action recognition: a construction of codebook by discriminative features selection approach. 5(3). 206–206. 10 indexed citations
3.
Khan, Muhammad Attique, et al.. (2018). Human action recognition: a construction of codebook by discriminative features selection approach. 5(3). 206–206. 19 indexed citations
4.
Ashraf, Rehan, Khalid Bashir, Aun Irtaza, & Muhammad Tariq Mahmood. (2015). Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions. Entropy. 17(6). 3552–3580. 61 indexed citations
5.
Bashir, Khalid, et al.. (2014). Review Paper on Classification on Mammography. International Journal of Engineering Trends and Technology. 14(4). 169–171.
6.
Bashir, Khalid, Tao Xiang, & Shaogang Gong. (2010). Cross View Gait Recognition Using Correlation Strength. 109.1–109.11. 92 indexed citations
7.
Bashir, Khalid, Tao Xiang, & Shaogang Gong. (2010). Gait recognition without subject cooperation. Pattern Recognition Letters. 31(13). 2052–2060. 226 indexed citations
8.
Bashir, Khalid, Tao Xiang, & Shaogang Gong. (2009). Gait Representation Using Flow Fields. 113.1–113.11. 55 indexed citations
9.
Bashir, Khalid, Tao Xiang, & Shaogang Gong. (2009). Gait recognition using gait entropy image. P2–P2. 201 indexed citations
10.
Bashir, Khalid, et al.. (2008). Feature Selection for Gait Recognition without Subject Cooperation. 108.1–108.10. 24 indexed citations
11.
Bashir, Khalid, Tao Xiang, & Shaogang Gong. (2008). Feature selection on Gait Energy Image for human identification. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 985–988. 57 indexed citations

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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