Waqas Jadoon

37 total papers · 1.0k total citations
28 papers, 676 citations indexed

About

Waqas Jadoon is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Waqas Jadoon has authored 28 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Waqas Jadoon's work include Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Face recognition and analysis (4 papers). Waqas Jadoon is often cited by papers focused on Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Face recognition and analysis (4 papers). Waqas Jadoon collaborates with scholars based in Pakistan, China and Saudi Arabia. Waqas Jadoon's co-authors include Iftikhar Ahmed Khan, Zia ur Rehman, Ahmad Khan, Sajid Shah, Fiaz Gul Khan, Shahaboddin Shamshirband, Yi Zhang, Lei Zhang, Wuyang Zhou and Muhammad Amir Khan and has published in prestigious journals such as PLoS ONE, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Waqas Jadoon

27 papers receiving 631 citations

Hit Papers

A Deep Learning Ensemble ... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Waqas Jadoon 350 290 189 149 115 28 676
Syed Muzamil Basha 205 0.6× 138 0.5× 85 0.4× 132 0.9× 71 0.6× 45 585
Maysoon Abulkhair 422 1.2× 199 0.7× 227 1.2× 185 1.2× 114 1.0× 24 641
Obaida M. Al-Hazaimeh 163 0.5× 345 1.2× 107 0.6× 52 0.3× 32 0.3× 46 587
Bita Shadgar 354 1.0× 243 0.8× 217 1.1× 83 0.6× 61 0.5× 29 630
Md. Omaer Faruq Goni 293 0.8× 165 0.6× 86 0.5× 134 0.9× 10 0.1× 19 559
Qi Yu 231 0.7× 246 0.8× 170 0.9× 18 0.1× 39 0.3× 20 557
Pedro Costa 355 1.0× 263 0.9× 156 0.8× 51 0.3× 10 0.1× 21 590
Said Jai Andaloussi 168 0.5× 196 0.7× 61 0.3× 62 0.4× 189 1.6× 49 651
Mohammed Al-Rawi 283 0.8× 305 1.1× 207 1.1× 10 0.1× 126 1.1× 44 651
Talha Meraj 237 0.7× 120 0.4× 45 0.2× 31 0.2× 22 0.2× 23 561

Countries citing papers authored by Waqas Jadoon

Since Specialization
Citations

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

Fields of papers citing papers by Waqas Jadoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waqas Jadoon

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

All Works

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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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