Shaima Qureshi

1.2k total citations · 1 hit paper
36 papers, 620 citations indexed

About

Shaima Qureshi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shaima Qureshi has authored 36 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Shaima Qureshi's work include Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (6 papers) and IoT and Edge/Fog Computing (5 papers). Shaima Qureshi is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (6 papers) and IoT and Edge/Fog Computing (5 papers). Shaima Qureshi collaborates with scholars based in India, Pakistan and Nigeria. Shaima Qureshi's co-authors include Gousia Habib, Sparsh Sharma, Ishfaq Ahmad Malik, Roohie Naaz Mir, Mohammad Ahsan Chishti, Ajaz Hussain Mir, In-Ho Ra, Umar Tasiu Mustapha, Evren Hınçal and Abdullahi Yusuf and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Shaima Qureshi

29 papers receiving 573 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing

2022 170 citations Gousia Habib, Shaima Qureshi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaima Qureshi India	9	219	178	165	65	63	36	620
Nilam Nur Amir Sjarif Malaysia	11	212 1.0×	170 1.0×	132 0.8×	85 1.3×	43 0.7×	51	532
Soumi Ghosh India	9	178 0.8×	102 0.6×	177 1.1×	92 1.4×	26 0.4×	30	578
Atul Patel India	11	179 0.8×	286 1.6×	102 0.6×	39 0.6×	29 0.5×	60	638
T. Velmurugan India	14	323 1.5×	114 0.6×	133 0.8×	65 1.0×	50 0.8×	49	616
Wan Mohd Nazmee Wan Zainon Malaysia	11	252 1.2×	116 0.7×	101 0.6×	38 0.6×	24 0.4×	48	530
Waleed Alomoush United Arab Emirates	14	238 1.1×	142 0.8×	95 0.6×	87 1.3×	26 0.4×	33	550
Krishna Kumar Mohbey India	17	295 1.3×	115 0.6×	156 0.9×	29 0.4×	38 0.6×	56	640
Ankur Dumka India	14	200 0.9×	83 0.5×	107 0.6×	175 2.7×	47 0.7×	93	712
Ramzan Talib Pakistan	8	286 1.3×	116 0.7×	141 0.9×	77 1.2×	17 0.3×	26	667

Countries citing papers authored by Shaima Qureshi

Since Specialization

Citations

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

Fields of papers citing papers by Shaima Qureshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaima Qureshi

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

All Works

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20 of 20 papers shown

Qureshi, Shaima, et al.. (2025). Security-aware, Red fox optimization-based cluster-based routing in wireless sensor network. Peer-to-Peer Networking and Applications. 18(3).

Habib, Gousia, et al.. (2024). Harnessing the Power of Attention for Patch-Based Biomedical Image Classification. IEEE Access. 13. 36760–36774.

Qureshi, Shaima, et al.. (2024). EHealth Innovation for Chronic Obstructive Pulmonary Disease: A Context-Aware Comprehensive Framework. Scalable Computing Practice and Experience. 25(3). 1424–1441. 2 indexed citations

Mir, Roohie Naaz, et al.. (2024). Quantized hashing: enabling resource-efficient deep learning models at the edge. International Journal of Information Technology. 16(4). 2353–2361. 1 indexed citations

Habib, Gousia, Ishfaq Ahmad Malik, & Shaima Qureshi. (2024). Feature Extraction and Classification Using Deep Learning. 1–8.

Qureshi, Shaima, et al.. (2023). A Security Algorithm for Images Based on 2D Logistic Map Using Bit-level and Pixel-level Image Encryption Approaches. International Journal of Computing and Digital Systems. 14(1). 633–641. 1 indexed citations

Habib, Gousia & Shaima Qureshi. (2023). Compressed lightweight deep learning models for resource‐constrained Internet of things devices in the healthcare sector. Expert Systems. 42(1). 6 indexed citations

Qureshi, Shaima, et al.. (2023). Securing the Internet of Things Through Blockchain Approach:Security Architectures, Consensus Algorithms, Enabling Technologies, Open Issues, and Research Directions. International Journal of Computing and Digital Systems. 13(1). 97–129. 4 indexed citations

Qureshi, Shaima, et al.. (2023). Limits of Depth: Over-Smoothing and Over-Squashing in GNNs. Big Data Mining and Analytics. 7(1). 205–216. 12 indexed citations

10.

Habib, Gousia & Shaima Qureshi. (2022). GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism. Frontiers in Computational Neuroscience. 16. 1004988–1004988. 10 indexed citations

11.

Qureshi, Shaima, et al.. (2022). A review of challenges and solutions in the design and implementation of deep graph neural networks. International Journal of Computers and Applications. 45(3). 221–230. 8 indexed citations

12.

Habib, Gousia & Shaima Qureshi. (2022). Comparative Analysis of LBP Variants with the Introduction of New Radial and Circumferential Derivatives. International Journal of Computing and Digital Systems. 11(1). 1187–1201. 2 indexed citations

13.

Qureshi, Shaima, et al.. (2022). HRCT chest analysis for detection of pulmonary arterial hypertension in COVID-19 patients using convolutional neural networks. 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT). 19. 1–5.

14.

Qureshi, Shaima, et al.. (2022). Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia. Chemometrics and Intelligent Laboratory Systems. 224. 104534–104534. 68 indexed citations

15.

Mustapha, Umar Tasiu, et al.. (2021). Transmission dynamics and control strategies of COVID-19: a modelling study. SHILAP Revista de lepidopterología. 102(2). 92–105. 2 indexed citations

16.

Qureshi, Shaima, et al.. (2021). A novel and efficacious use of three-dimensional intertwining logistic map for the security of greyscale images. The Imaging Science Journal. 69(5-8). 288–301.

17.

Habib, Gousia & Shaima Qureshi. (2021). Biomedical Image Classification using CNN by Exploiting Deep Domain Transfer Learning. International Journal of Computing and Digital Systems. 10(1). 1075–1083. 8 indexed citations

18.

Mir, Roohie Naaz, et al.. (2021). Deflate‐inflate: Exploiting hashing trick for bringing inference to the edge with scalable convolutional neural networks. Concurrency and Computation Practice and Experience. 34(3). 1 indexed citations

19.

Qureshi, Shaima, et al.. (2020). The survey: Text generation models in deep learning. Journal of King Saud University - Computer and Information Sciences. 34(6). 2515–2528. 124 indexed citations

20.

Qureshi, Shaima, et al.. (2014). Comparative study of tumor detection algorithms. 54. 251–256. 4 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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