Fawad Naseer

29 total papers · 513 total citations
18 papers, 186 citations indexed

About

Fawad Naseer is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Fawad Naseer has authored 18 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 3 papers in Computer Networks and Communications. Recurrent topics in Fawad Naseer's work include Online Learning and Analytics (3 papers), IoT and Edge/Fog Computing (2 papers) and Gaze Tracking and Assistive Technology (2 papers). Fawad Naseer is often cited by papers focused on Online Learning and Analytics (3 papers), IoT and Edge/Fog Computing (2 papers) and Gaze Tracking and Assistive Technology (2 papers). Fawad Naseer collaborates with scholars based in Pakistan, Saudi Arabia and Mexico. Fawad Naseer's co-authors include Muhammad Nasir Khan, Ali Altalbe, Abdullah Addas, Muhammad Tahir, Hafız Muhammad Ali, Qasim Awais, Zubair Nawaz, Rasikh Tariq, Jesús Viciana and José Carlos Vázquez Parra and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Fawad Naseer

17 papers receiving 171 citations

Author Peers

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

Author Last Decade Papers Cites
Fawad Naseer 27 25 24 23 20 18 186
Rishu Chhabra 40 1.5× 12 0.5× 45 1.9× 9 0.4× 39 1.9× 20 218
Princy Randhawa 27 1.0× 6 0.2× 22 0.9× 10 0.4× 40 2.0× 33 223
Daniel H. de la Iglesia 20 0.7× 11 0.4× 50 2.1× 6 0.3× 31 1.6× 30 288
Ishwar Singh 10 0.4× 28 1.1× 18 0.8× 9 0.4× 9 0.5× 18 206
P Suresh 35 1.3× 9 0.4× 94 3.9× 11 0.5× 20 1.0× 19 241
Gilles Coppin 45 1.7× 16 0.6× 35 1.5× 6 0.3× 28 1.4× 29 176
Sehrish Munawar Cheema 45 1.7× 4 0.2× 61 2.5× 12 0.5× 18 0.9× 19 267
Alexandre Ferreira 31 1.1× 31 1.2× 46 1.9× 4 0.2× 46 2.3× 25 236
M. Rajmohan 21 0.8× 8 0.3× 35 1.5× 2 0.1× 16 0.8× 39 198
Doris Aschenbrenner 22 0.8× 46 1.8× 28 1.2× 4 0.2× 101 5.0× 41 249

Countries citing papers authored by Fawad Naseer

Since Specialization
Citations

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

Fields of papers citing papers by Fawad Naseer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fawad Naseer

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