Shakir Khan

135 total papers · 2.5k total citations
81 papers, 1.2k citations indexed

About

Shakir Khan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Shakir Khan has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Shakir Khan's work include Brain Tumor Detection and Classification (7 papers), IoT and Edge/Fog Computing (7 papers) and Blockchain Technology Applications and Security (6 papers). Shakir Khan is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), IoT and Edge/Fog Computing (7 papers) and Blockchain Technology Applications and Security (6 papers). Shakir Khan collaborates with scholars based in Saudi Arabia, India and Pakistan. Shakir Khan's co-authors include Gaurav Gupta, Tamanna Siddiqui, Reemiah Muneer Alotaibi, Abrar Almjally, Bayan Alabduallah, Amin Ul Haq, Jianping Li, Mohammed Ali Alshara, Hadeel Alsolai and A. Mellit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Shakir Khan

68 papers receiving 1.2k citations

Hit Papers

A Study of CNN and Transf... 2023 2026 2024 2023 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shakir Khan 448 244 196 195 166 81 1.2k
Gaurav Gupta 364 0.8× 241 1.0× 168 0.9× 218 1.1× 139 0.8× 88 1.4k
Hanan Aljuaid 535 1.2× 306 1.3× 72 0.4× 209 1.1× 190 1.1× 70 1.3k
Dilovan Asaad Zebari 578 1.3× 306 1.3× 163 0.8× 326 1.7× 133 0.8× 54 1.1k
T R Mahesh 546 1.2× 227 0.9× 167 0.9× 301 1.5× 149 0.9× 173 1.5k
Nikita Jain 419 0.9× 261 1.1× 224 1.1× 170 0.9× 85 0.5× 83 1.3k
Abdul Khader Jilani Saudagar 437 1.0× 232 1.0× 86 0.4× 229 1.2× 110 0.7× 106 1.1k
Junchang Xin 562 1.3× 169 0.7× 112 0.6× 221 1.1× 191 1.2× 86 1.1k
Hussain AlSalman 326 0.7× 164 0.7× 75 0.4× 82 0.4× 148 0.9× 61 1.1k
Khan Md. Hasib 525 1.2× 135 0.6× 140 0.7× 121 0.6× 75 0.5× 49 1.0k
Areej Malibari 319 0.7× 130 0.5× 107 0.5× 69 0.4× 101 0.6× 76 1.4k

Countries citing papers authored by Shakir Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shakir Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shakir Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shakir Khan. A scholar is included among the top collaborators of Shakir Khan 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 Shakir Khan. Shakir Khan 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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