Talha Meraj

36 total papers · 923 total citations
23 papers, 561 citations indexed

About

Talha Meraj is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Talha Meraj has authored 23 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Talha Meraj's work include Misinformation and Its Impacts (4 papers), COVID-19 diagnosis using AI (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Talha Meraj is often cited by papers focused on Misinformation and Its Impacts (4 papers), COVID-19 diagnosis using AI (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Talha Meraj collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Talha Meraj's co-authors include Hafiz Tayyab Rauf, Saeed Ur Rehman, Amerah Alabrah, Robertas Damaševičius, Rabbia Mahum, Mohammed A. El-Meligy, Ahmed M. El‐Sherbeeny, Hashem Alyami, Aun Irtaza and M. Sultan Zia and has published in prestigious journals such as Sensors, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Talha Meraj

22 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Talha Meraj 237 214 120 59 57 23 561
S. Suganyadevi 173 0.7× 171 0.8× 203 1.7× 29 0.5× 29 0.5× 23 575
K. Balasamy 174 0.7× 159 0.7× 263 2.2× 27 0.5× 16 0.3× 19 595
Rabbia Mahum 191 0.8× 135 0.6× 228 1.9× 19 0.3× 142 2.5× 34 658
Sheeraz Akram 234 1.0× 210 1.0× 173 1.4× 138 2.3× 29 0.5× 50 613
Shumoos Al-Fahdawi 261 1.1× 166 0.8× 206 1.7× 18 0.3× 38 0.7× 16 653
Lei Zhang 143 0.6× 200 0.9× 225 1.9× 27 0.5× 11 0.2× 34 557
Claudio Marrocco 181 0.8× 373 1.7× 257 2.1× 21 0.4× 13 0.2× 46 649
Surbhi Gupta 185 0.8× 267 1.2× 83 0.7× 39 0.7× 10 0.2× 24 557
Eswaran Perumal 212 0.9× 232 1.1× 94 0.8× 24 0.4× 9 0.2× 36 520
N. Veeranjaneyulu 271 1.1× 178 0.8× 236 2.0× 22 0.4× 28 0.5× 34 564

Countries citing papers authored by Talha Meraj

Since Specialization
Citations

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

Fields of papers citing papers by Talha Meraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Talha Meraj

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