Mahwish Ilyas

588 total citations · 1 hit paper
9 papers, 365 citations indexed

About

Mahwish Ilyas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Mahwish Ilyas has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Mahwish Ilyas's work include Digital Imaging for Blood Diseases (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (1 paper). Mahwish Ilyas is often cited by papers focused on Digital Imaging for Blood Diseases (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (1 paper). Mahwish Ilyas collaborates with scholars based in Pakistan, United Arab Emirates and Saudi Arabia. Mahwish Ilyas's co-authors include Muhammad Ramzan, Ahsan Mahmood, Hikmat Ullah Khan, Shahid Mahmood Awan, Muzamil Ahmed, Adnan Abid, Mohamed Deriche, Shahid Mehmood, Waseem Akhtar and Anam Naz and has published in prestigious journals such as PLoS ONE, IEEE Access and Arabian Journal for Science and Engineering.

In The Last Decade

Mahwish Ilyas

8 papers receiving 340 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 on State-of-the-Art Drowsiness Detection Techniques

2019 213 citations Muhammad Ramzan, Hikmat Ullah Khan et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahwish Ilyas Pakistan	5	171	123	112	70	48	9	365
Md. Mokammel Haque Bangladesh	8	97 0.6×	69 0.6×	65 0.6×	44 0.6×	23 0.5×	27	332
Wen-Bing Horng Taiwan	8	119 0.7×	33 0.3×	263 2.3×	51 0.7×	80 1.7×	22	528
Ziliang Ren China	9	68 0.4×	110 0.9×	226 2.0×	29 0.4×	88 1.8×	37	344
Fengyi Song China	8	87 0.5×	37 0.3×	196 1.8×	31 0.4×	132 2.8×	18	371
Huabiao Qin China	9	111 0.6×	15 0.1×	91 0.8×	35 0.5×	62 1.3×	41	298
Mouhannad Ali Austria	10	229 1.3×	50 0.4×	79 0.7×	41 0.6×	40 0.8×	18	385
Igor Lashkov Russia	9	70 0.4×	26 0.2×	68 0.6×	63 0.9×	21 0.4×	27	321
Francesco Semeraro Italy	5	80 0.5×	90 0.7×	54 0.5×	88 1.3×	28 0.6×	13	336
Ahmad Haj Mosa Austria	10	190 1.1×	49 0.4×	67 0.6×	37 0.5×	32 0.7×	15	328
Duy Tran United States	8	57 0.3×	39 0.3×	83 0.7×	84 1.2×	29 0.6×	12	310

Countries citing papers authored by Mahwish Ilyas

Since Specialization

Citations

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

Fields of papers citing papers by Mahwish Ilyas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahwish Ilyas

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Ilyas, Mahwish, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, & Anam Naz. (2025). An efficient leukemia prediction method using machine learning and deep learning with selected features. PLoS ONE. 20(5). e0320669–e0320669.

2.

Ilyas, Mahwish, et al.. (2024). A Novel Leukemia Gene Features Extraction and Selection Technique for Robust Type Prediction Using Machine Learning. Arabian Journal for Science and Engineering. 49(12). 16845–16863. 3 indexed citations

3.

Ilyas, Mahwish, Muhammad Bilal, Nadia Shamshad Malik, et al.. (2024). Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia. Information. 15(12). 787–787. 4 indexed citations

4.

Ilyas, Mahwish, et al.. (2023). Linear programming based computational technique for leukemia classification using gene expression profile. PLoS ONE. 18(10). e0292172–e0292172. 10 indexed citations

5.

Bilal, Muhammad, et al.. (2022). Urdu Text-to-Speech Conversion Using Deep Learning. 1–6. 2 indexed citations

6.

Ramzan, Muhammad, et al.. (2019). A Survey on State-of-the-Art Drowsiness Detection Techniques. IEEE Access. 7. 61904–61919. 213 indexed citations breakdown →

7.

Ramzan, Muhammad, Adnan Abid, Hikmat Ullah Khan, et al.. (2019). A Review on State-of-the-Art Violence Detection Techniques. IEEE Access. 7. 107560–107575. 99 indexed citations

8.

Ramzan, Muhammad, et al.. (2018). A Survey on using Neural Network based Algorithms for Hand Written Digit Recognition. International Journal of Advanced Computer Science and Applications. 9(9). 15 indexed citations

9.

Mahmood, Ahsan, et al.. (2018). A Multilingual Datasets Repository of the Hadith Content. International Journal of Advanced Computer Science and Applications. 9(2). 19 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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