Usama Pervaiz

673 total citations
12 papers, 389 citations indexed

About

Usama Pervaiz is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Usama Pervaiz has authored 12 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Usama Pervaiz's work include Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (4 papers) and Medical Image Segmentation Techniques (2 papers). Usama Pervaiz is often cited by papers focused on Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (4 papers) and Medical Image Segmentation Techniques (2 papers). Usama Pervaiz collaborates with scholars based in Spain, France and Italy. Usama Pervaiz's co-authors include Saed Khawaldeh, Mark W. Woolrich, Diego Vidaurre, Stephen M. Smith, Rami S. Alkhawaldeh, Azhar Rafiq, Chetan Gohil, Moatsum Alawida, Angus Stevner and Peter Vuust and has published in prestigious journals such as NeuroImage, Medical Image Analysis and Applied Sciences.

In The Last Decade

Usama Pervaiz

12 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Usama Pervaiz Spain	8	182	135	125	124	81	12	389
Kanghan Oh South Korea	9	96 0.5×	140 1.0×	94 0.8×	126 1.0×	157 1.9×	19	461
Nguyen Thanh Duc South Korea	10	202 1.1×	113 0.8×	138 1.1×	85 0.7×	142 1.8×	16	557
Xixi Wang China	12	115 0.6×	38 0.3×	47 0.4×	108 0.9×	112 1.4×	26	427
Mohammed Jajere Adamu China	12	63 0.3×	202 1.5×	100 0.8×	132 1.1×	74 0.9×	28	440
Qiankun Zuo China	8	92 0.5×	52 0.4×	52 0.4×	64 0.5×	67 0.8×	26	266
Colin J. Brown Canada	7	374 2.1×	47 0.3×	244 2.0×	35 0.3×	96 1.2×	15	620
Tongtong Che China	11	66 0.4×	44 0.3×	146 1.2×	67 0.5×	68 0.8×	22	313
Renping Yu China	9	223 1.2×	43 0.3×	84 0.7×	32 0.3×	39 0.5×	29	327
S Spasov Italy	5	68 0.4×	136 1.0×	77 0.6×	52 0.4×	131 1.6×	9	359

Countries citing papers authored by Usama Pervaiz

Since Specialization

Citations

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

Fields of papers citing papers by Usama Pervaiz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usama Pervaiz

This figure shows the co-authorship network connecting the top 25 collaborators of Usama Pervaiz. A scholar is included among the top collaborators of Usama Pervaiz 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 Usama Pervaiz. Usama Pervaiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Pervaiz, Usama, Diego Vidaurre, Chetan Gohil, Stephen M. Smith, & Mark W. Woolrich. (2022). Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations. Medical Image Analysis. 77. 102366–102366. 11 indexed citations

Gohil, Chetan, Andrew J. Quinn, Usama Pervaiz, et al.. (2022). Mixtures of large-scale dynamic functional brain network modes. NeuroImage. 263. 119595–119595. 17 indexed citations

Stevner, Angus, et al.. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage. 252. 119026–119026. 14 indexed citations

Pervaiz, Usama, Faisal Bukhari, & Waheed Iqbal. (2021). A Study on Detection of Chronic Renal Failure Based on Machine Learning. 1–10. 1 indexed citations

Pervaiz, Usama, Diego Vidaurre, Mark W. Woolrich, & Stephen M. Smith. (2020). Optimising network modelling methods for fMRI. NeuroImage. 211. 116604–116604. 149 indexed citations

Alkhawaldeh, Rami S., et al.. (2019). NIML: non‐intrusive machine learning‐based speech quality prediction on VoIP networks. IET Communications. 13(16). 2609–2616. 14 indexed citations

Pervaiz, Usama, et al.. (2018). Activity monitoring and meal tracking for cardiac rehabilitation patients. International Journal of Medical Engineering and Informatics. 10(3). 252–252. 3 indexed citations

Khawaldeh, Saed, et al.. (2018). Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering. Methods and Protocols. 1(1). 7–7. 7 indexed citations

Khawaldeh, Saed, et al.. (2017). Taxonomic Classification for Living Organisms Using Convolutional Neural Networks. Genes. 8(11). 326–326. 10 indexed citations

10.

Khawaldeh, Saed, et al.. (2017). Design and simulation‐based performance evaluation of a miniaturised implantable antenna for biomedical applications. Micro & Nano Letters. 12(10). 821–826. 16 indexed citations

11.

Khawaldeh, Saed, Usama Pervaiz, Azhar Rafiq, & Rami S. Alkhawaldeh. (2017). Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks. Applied Sciences. 8(1). 27–27. 145 indexed citations

12.

Khan, Jamal Ahmad, et al.. (2016). A wearable wireless sensor for cardiac monitoring. 61–65. 2 indexed citations

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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