Riaz Ullah Khan

46 total papers · 1.5k total citations
38 papers, 1.0k citations indexed

About

Riaz Ullah Khan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Riaz Ullah Khan has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Riaz Ullah Khan's work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Riaz Ullah Khan is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Riaz Ullah Khan collaborates with scholars based in China, Pakistan and Saudi Arabia. Riaz Ullah Khan's co-authors include Xiaosong Zhang, Rajesh Kumar, Rajesh Kumar, Mamoun Alazab, Abubakar Sharif, Jay Kumar, Noorbakhsh Amiri Golilarz, Wenyong Wang, Eric O. Aboagye and Abdoljalil Addeh and has published in prestigious journals such as IEEE Access, Sensors and Neural Networks.

In The Last Decade

Riaz Ullah Khan

38 papers receiving 956 citations

Author Peers

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

Author Last Decade Papers Cites
Riaz Ullah Khan 477 402 400 197 127 38 1.0k
Helmi Md Rais 235 0.5× 616 1.5× 188 0.5× 273 1.4× 196 1.5× 32 1.2k
Tiantian Zhu 254 0.5× 220 0.5× 350 0.9× 301 1.5× 44 0.3× 53 894
Muhammad Aamir 290 0.6× 399 1.0× 154 0.4× 144 0.7× 125 1.0× 60 957
Cong Sun 390 0.8× 354 0.9× 269 0.7× 235 1.2× 72 0.6× 80 1.1k
Fangjun Kuang 368 0.8× 641 1.6× 230 0.6× 54 0.3× 173 1.4× 35 1.1k
Gianni D’Angelo 447 0.9× 525 1.3× 252 0.6× 157 0.8× 107 0.8× 48 1.2k
Mubarak Alrashoud 371 0.8× 475 1.2× 124 0.3× 243 1.2× 103 0.8× 67 1.2k
Dawei Feng 274 0.6× 424 1.1× 270 0.7× 240 1.2× 161 1.3× 64 1.1k
Wajdi Alhakami 409 0.9× 396 1.0× 123 0.3× 307 1.6× 158 1.2× 53 1.2k
Ahmad Sharieh 484 1.0× 622 1.5× 225 0.6× 189 1.0× 135 1.1× 70 1.1k

Countries citing papers authored by Riaz Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Riaz Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riaz Ullah Khan

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