Asra Aslam

1.3k total citations · 1 hit paper
16 papers, 836 citations indexed

About

Asra Aslam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Asra Aslam has authored 16 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Asra Aslam's work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Asra Aslam is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Asra Aslam collaborates with scholars based in Ireland, United States and United Kingdom. Asra Aslam's co-authors include Brian Lee, Mamoona Naveed Asghar, Nadia Kanwal, Mohd. Samar Ansari, Ekram Khan, M. M. Sufyan Beg, Edward Curry, Souleiman Hasan, Alexa Beiser and Matthias Nauck and has published in prestigious journals such as IEEE Access, Frontiers in Immunology and Journal of Alzheimer s Disease.

In The Last Decade

Asra Aslam

15 papers receiving 797 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.

A survey of modern deep learning based object detection models

2022 600 citations Mohd. Samar Ansari, Asra Aslam et al. Digital Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asra Aslam Ireland	6	489	154	93	87	77	16	836
Zhanghan Ke Hong Kong	6	542 1.1×	206 1.3×	36 0.4×	89 1.0×	140 1.8×	10	858
Shoubhik Debnath United States	5	320 0.7×	147 1.0×	28 0.3×	58 0.7×	80 1.0×	9	699
Diganta Misra India	4	552 1.1×	187 1.2×	26 0.3×	86 1.0×	128 1.7×	8	958
Thangarajah Akilan Canada	17	437 0.9×	207 1.3×	31 0.3×	53 0.6×	60 0.8×	52	831
Hanaa ZainEldin Egypt	10	296 0.6×	119 0.8×	87 0.9×	37 0.4×	33 0.4×	19	712
Guanglu Song China	9	775 1.6×	246 1.6×	26 0.3×	85 1.0×	118 1.5×	22	1.1k
Zhuang Liu China	7	278 0.6×	183 1.2×	29 0.3×	49 0.6×	71 0.9×	21	673
M. Sambath India	8	261 0.5×	80 0.5×	35 0.4×	96 1.1×	63 0.8×	23	699
Francisco Massa	2	368 0.8×	204 1.3×	32 0.3×	26 0.3×	91 1.2×	2	658

Countries citing papers authored by Asra Aslam

Since Specialization

Citations

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

Fields of papers citing papers by Asra Aslam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asra Aslam

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

All Works

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16 of 16 papers shown

Aslam, Asra, et al.. (2025). Detecting and Classifying Mycetoma in Histopathological Images Using DenseNet and U-Net. Studies in health technology and informatics. 329. 936–940.

Vega, J. & Asra Aslam. (2025). Towards Skin Cancer Detection Through Low Resolution Images. Studies in health technology and informatics. 327. 1445–1446. 1 indexed citations

Charisis, Sokratis, Meghan I. Short, Tiffany F. Kautz, et al.. (2024). Leptin bioavailability and markers of brain atrophy and vascular injury in the middle age. Alzheimer s & Dementia. 20(9). 5849–5860. 5 indexed citations

Chalela, Patricia, Byeong Yeob Choi, Edgar Muñoz, et al.. (2024). Abstract B117: HT Helper Study: A phone application + patient navigation to improve medication adherence among Latina breast cancer patients experiencing social determinants of health. Cancer Epidemiology Biomarkers & Prevention. 33(9_Supplement). B117–B117. 1 indexed citations

Aslam, Asra. (2022). Detecting Objects in Less Response Time for Processing Multimedia Events in Smart Cities. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2. 2043–2053. 4 indexed citations

Ansari, Mohd. Samar, et al.. (2022). A survey of modern deep learning based object detection models. Digital Signal Processing. 126. 103514–103514. 600 indexed citations breakdown →

Wittfeld, Katharina, Mekala R. Raman, Sarah C. Conner, et al.. (2022). Insulin-Like Growth Factor, Inflammation, and MRI Markers of Alzheimer’s Disease in Predominantly Middle-Aged Adults. Journal of Alzheimer s Disease. 88(1). 311–322. 13 indexed citations

Bakthavatsalam, Deenadayalan, Nghi Nguyen, Asra Aslam, et al.. (2021). Identification of Inhibitors of Integrin Cytoplasmic Domain Interactions With Syk. Frontiers in Immunology. 11. 575085–575085. 3 indexed citations

Aslam, Asra & Edward Curry. (2021). Investigating response time and accuracy in online classifier learning for multimedia publish-subscribe systems. Multimedia Tools and Applications. 80(9). 13021–13057. 3 indexed citations

10.

Aslam, Asra & Edward Curry. (2020). A Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep Learning and Event-based Middleware: Approaches, Challenges, and Future Directions. Image and Vision Computing. 106. 104095–104095. 41 indexed citations

11.

Aslam, Asra & Edward Curry. (2020). Reducing Response Time for Multimedia Event Processing using Domain Adaptation. 6. 261–265. 4 indexed citations

12.

Aslam, Asra. (2020). Object Detection for Unseen Domains while Reducing Response Time using Knowledge Transfer in Multimedia Event Processing. 373–377. 4 indexed citations

13.

Aslam, Asra & Edward Curry. (2018). Towards a Generalized Approach for Deep Neural Network Based Event Processing for the Internet of Multimedia Things. IEEE Access. 6. 25573–25587. 28 indexed citations

14.

Aslam, Asra, Souleiman Hasan, & Edward Curry. (2017). Challenges with Image Event Processing. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 347–348. 5 indexed citations

15.

Aslam, Asra, Ekram Khan, & M. M. Sufyan Beg. (2015). Improved Edge Detection Algorithm for Brain Tumor Segmentation. Procedia Computer Science. 58. 430–437. 120 indexed citations

16.

Aslam, Asra, Ekram Khan, & M. M. Sufyan Beg. (2015). Multi-threading based implementation of Ant-Colony Optimization algorithm for image edge detection. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 6. 1–6. 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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