Aasim Zafar

103 total papers · 931 total citations
72 papers, 536 citations indexed

About

Aasim Zafar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aasim Zafar has authored 72 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aasim Zafar's work include Anomaly Detection Techniques and Applications (15 papers), Network Security and Intrusion Detection (13 papers) and Adversarial Robustness in Machine Learning (11 papers). Aasim Zafar is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Network Security and Intrusion Detection (13 papers) and Adversarial Robustness in Machine Learning (11 papers). Aasim Zafar collaborates with scholars based in India, Saudi Arabia and Bangladesh. Aasim Zafar's co-authors include Syed Hamid Hasan, Shahab Saquib Sohail, Md. Mottahir Alam, Dag Øivind Madsen, Emmanuel Sirimal Silva, M. Afshar Alam, Yassine Himeur, Hossein Hassani, Faiza Farhat and Asif Irshad Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Aasim Zafar

62 papers receiving 518 citations

Author Peers

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

Author Last Decade Papers Cites
Aasim Zafar 307 157 100 95 64 72 536
Mohamed Ben Ahmed 244 0.8× 160 1.0× 131 1.3× 75 0.8× 86 1.3× 97 571
Shakeel Ahmed 148 0.5× 108 0.7× 63 0.6× 35 0.4× 83 1.3× 60 591
Ala Mughaid 192 0.6× 145 0.9× 80 0.8× 109 1.1× 197 3.1× 47 572
Mohammad Ahsan Chishti 142 0.5× 283 1.8× 78 0.8× 64 0.7× 151 2.4× 58 551
N. Yuvaraj 203 0.7× 151 1.0× 91 0.9× 43 0.5× 83 1.3× 48 610
Nuruzzaman Faruqui 205 0.7× 173 1.1× 70 0.7× 78 0.8× 88 1.4× 36 500
Amal Al‐Rasheed 187 0.6× 136 0.9× 77 0.8× 29 0.3× 89 1.4× 61 546
Micheal Olaolu Arowolo 200 0.7× 158 1.0× 58 0.6× 80 0.8× 76 1.2× 45 511
Arun Chauhan 244 0.8× 162 1.0× 123 1.2× 52 0.5× 105 1.6× 67 611
Chandramohan Dhasarathan 294 1.0× 146 0.9× 70 0.7× 38 0.4× 192 3.0× 49 590

Countries citing papers authored by Aasim Zafar

Since Specialization
Citations

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

Fields of papers citing papers by Aasim Zafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aasim Zafar

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