Sarmad Maqsood

29 total papers · 1.1k total citations
19 papers, 682 citations indexed

About

Sarmad Maqsood is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sarmad Maqsood has authored 19 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sarmad Maqsood's work include AI in cancer detection (3 papers), Advanced Image Fusion Techniques (3 papers) and Retinal Diseases and Treatments (2 papers). Sarmad Maqsood is often cited by papers focused on AI in cancer detection (3 papers), Advanced Image Fusion Techniques (3 papers) and Retinal Diseases and Treatments (2 papers). Sarmad Maqsood collaborates with scholars based in Lithuania, Pakistan and Poland. Sarmad Maqsood's co-authors include Robertas Damaševičius, Rytis Maskeliūnas, Umer Javed, Nils D. Forkert, Fazal Muhammad, Sunghwan Kim, Muhammad Mohsin Riaz, Tomas Blažauskas, Muzammil Khan and Laith Abualigah and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sarmad Maqsood

18 papers receiving 652 citations

Hit Papers

Multi-Modal Brain Tumor D... 2022 2026 2023 2024 2022 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
    2022 167 citations Sarmad Maqsood, Robertas Damaševičius et al. Medicina profile →
  2. Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
    2023 84 citations Sarmad Maqsood, Robertas Damaševičius Neural Networks profile →

Author Peers

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

Author Last Decade Papers Cites
Sarmad Maqsood 304 288 222 209 161 19 682
Qingling Sun 322 1.1× 246 0.9× 213 1.0× 56 0.3× 142 0.9× 16 640
Mobeen Ur Rehman 295 1.0× 145 0.5× 122 0.5× 173 0.8× 68 0.4× 42 780
Salman Khan 235 0.8× 238 0.8× 289 1.3× 95 0.5× 41 0.3× 17 706
Yuan Zhang 378 1.2× 187 0.6× 271 1.2× 267 1.3× 31 0.2× 27 623
Jiayu Xu 400 1.3× 250 0.9× 218 1.0× 123 0.6× 69 0.4× 25 718
Fahad Shamshad 292 1.0× 270 0.9× 301 1.4× 97 0.5× 47 0.3× 16 749
Frank Kulwa 212 0.7× 443 1.5× 332 1.5× 64 0.3× 107 0.7× 25 755
Tom Brosch 279 0.9× 214 0.7× 286 1.3× 167 0.8× 50 0.3× 20 695
Naveed Abbas 458 1.5× 342 1.2× 213 1.0× 64 0.3× 75 0.5× 38 781
Youngjin Yoo 228 0.8× 203 0.7× 387 1.7× 153 0.7× 60 0.4× 30 742

Countries citing papers authored by Sarmad Maqsood

Since Specialization
Citations

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

Fields of papers citing papers by Sarmad Maqsood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarmad Maqsood

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