Amir Ahmad

121 total papers · 3.9k total citations
77 papers, 2.6k citations indexed

About

Amir Ahmad is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amir Ahmad has authored 77 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amir Ahmad's work include Advanced Clustering Algorithms Research (12 papers), Data Management and Algorithms (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Amir Ahmad is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Data Management and Algorithms (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Amir Ahmad collaborates with scholars based in United Arab Emirates, India and Saudi Arabia. Amir Ahmad's co-authors include Shehroz S. Khan, Lipika Dey, Gagan Kumar, Ch. Aswani Kumar, I. Sumaiya Thaseen, Omar Barukab, Santosh Kumar Ray, Sunita Garhwal, Mainuddin Mainuddin and Sonya Ghanavati and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Amir Ahmad

70 papers receiving 2.4k citations

Hit Papers

A k-mean clustering algor... 2007 2026 2013 2019 2007 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Amir Ahmad 1.2k 465 388 386 352 77 2.6k
Yimin Yang 1.0k 0.9× 866 1.9× 120 0.3× 387 1.0× 182 0.5× 147 3.1k
Rizwan Ali Naqvi 793 0.7× 720 1.5× 170 0.4× 545 1.4× 204 0.6× 123 3.3k
Xiaofeng He 1.1k 0.9× 1.0k 2.2× 157 0.4× 275 0.7× 315 0.9× 80 3.0k
Tong Zhang 1.3k 1.1× 592 1.3× 313 0.8× 327 0.8× 146 0.4× 179 3.4k
Xin Li 688 0.6× 346 0.7× 380 1.0× 122 0.3× 112 0.3× 138 2.3k
Jing Lin 615 0.5× 261 0.6× 154 0.4× 152 0.4× 224 0.6× 144 5.5k
Shaobo Li 1.0k 0.9× 630 1.4× 208 0.5× 417 1.1× 141 0.4× 287 5.2k
Feng Niu 1.0k 0.9× 398 0.9× 296 0.8× 244 0.6× 195 0.6× 202 3.4k
Abhishek Jain 1.2k 1.0× 385 0.8× 255 0.7× 290 0.8× 202 0.6× 56 3.8k
Weifeng Lv 842 0.7× 317 0.7× 424 1.1× 140 0.4× 241 0.7× 189 3.9k

Countries citing papers authored by Amir Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Amir Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Ahmad

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