Awais Mahmood

1.1k total citations
45 papers, 711 citations indexed

About

Awais Mahmood is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Awais Mahmood has authored 45 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Awais Mahmood's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Awais Mahmood is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Awais Mahmood collaborates with scholars based in Saudi Arabia, Pakistan and Jordan. Awais Mahmood's co-authors include Habib Dhahri, Mansour Alsulaiman, Ghulam Muhammad, Wail S. Elkilani, Eslam Al Maghayreh, Mohammed Faisal, Shariq Hussain, Zulfiqar Ali, Esam Othman and Sajid Ali Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Awais Mahmood

42 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Awais Mahmood Saudi Arabia	17	398	185	173	109	81	45	711
Shibaprasad Sen India	14	258 0.6×	179 1.0×	41 0.2×	167 1.5×	22 0.3×	28	512
Jiashuang Huang China	18	313 0.8×	226 1.2×	39 0.2×	257 2.4×	16 0.2×	77	1.1k
Seral Özşen Türkiye	11	108 0.3×	51 0.3×	50 0.3×	34 0.3×	56 0.7×	38	453
Marc‐André Carbonneau Canada	9	374 0.9×	307 1.7×	108 0.6×	102 0.9×	16 0.2×	18	715
Manpreet Kaur India	13	175 0.4×	227 1.2×	66 0.4×	53 0.5×	17 0.2×	48	653
Priyanka Singh India	18	245 0.6×	426 2.3×	111 0.6×	30 0.3×	8 0.1×	66	809
E. Micheli-Tzanakou United States	15	200 0.5×	219 1.2×	139 0.8×	83 0.8×	8 0.1×	108	702
Maheen Bakhtyar Pakistan	13	283 0.7×	179 1.0×	68 0.4×	37 0.3×	47 0.6×	29	585
M. Cevdet İnce Türkiye	9	392 1.0×	270 1.5×	37 0.2×	62 0.6×	9 0.1×	25	808
Vanessa Gómez-Verdejo Spain	14	239 0.6×	122 0.7×	133 0.8×	34 0.3×	11 0.1×	41	560

Countries citing papers authored by Awais Mahmood

Since Specialization

Citations

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

Fields of papers citing papers by Awais Mahmood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Awais Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Awais Mahmood. A scholar is included among the top collaborators of Awais Mahmood 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 Awais Mahmood. Awais Mahmood 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:

20 of 20 papers shown

Mahmood, Awais, et al.. (2024). Enhanced Classification of Phonocardiograms Using Modified Deep Learning. IEEE Access. 12. 178909–178916. 3 indexed citations

Akram, Sheeraz, et al.. (2023). Deep Learning for Sarcasm Identification in News Headlines. Applied Sciences. 13(9). 5586–5586. 13 indexed citations

Arsalan, Aamir, et al.. (2023). Classification of Human Physical Activities and Postures During Everyday Life. 98–103. 3 indexed citations

Mahmood, Awais, et al.. (2023). End-to-End Deep Learning Method for Detection of Invasive Parkinson’s Disease. Diagnostics. 13(6). 1088–1088. 22 indexed citations

Nazir, Muhammad, et al.. (2023). Gastrointestinal Diseases Classification Using Deep Transfer Learning and Features Optimization. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 2227–2245. 15 indexed citations

Mahdin, Hairulnizam, et al.. (2023). A Novel Voice Feature AVA and its Application to the Pathological Voice Detection Through Machine Learning. International Journal of Advanced Computer Science and Applications. 14(9). 3 indexed citations

Dhahri, Habib, et al.. (2022). Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights. Sensors. 22(5). 1890–1890. 21 indexed citations

Khalil, Muhammad Ibrahim, et al.. (2022). Deep-COVID: Detection and Analysis of COVID-19 Outcomes Using Deep Learning. Electronics. 11(22). 3836–3836. 3 indexed citations

Othman, Esam, et al.. (2022). Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models. Sensors. 22(14). 5429–5429. 20 indexed citations

10.

Maghayreh, Eslam Al, Fahad R. Albogamy, Mohamad Mahmoud Al Rahhal, et al.. (2021). Particle Swarm Optimization Algorithm for Detecting Distributed Predicates. IEEE Access. 9. 105286–105296. 1 indexed citations

11.

Singh, Pradeep Kumar, Esam Othman, Rafeeq Ahmed, et al.. (2021). Optimized recommendations by user profiling using apriori algorithm. Applied Soft Computing. 106. 107272–107272. 26 indexed citations

12.

Dhahri, Habib, et al.. (2021). Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3259–3274. 7 indexed citations

13.

Mahmood, Awais, Aun Irtaza, Habib Dhahri, et al.. (2021). Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 963–979. 2 indexed citations

14.

Dhahri, Habib, et al.. (2020). Tabu Search and Machine‐Learning Classification of Benign and Malignant Proliferative Breast Lesions. BioMed Research International. 2020(1). 4671349–4671349. 16 indexed citations

15.

Rahhal, Mohamad Mahmoud Al, Mohamed Lamine Mekhalfi, Mawloud Guermoui, et al.. (2018). A Dense Phase Descriptor for Human Ear Recognition. IEEE Access. 6. 11883–11887. 14 indexed citations

16.

Alsulaiman, Mansour, Ghulam Muhammad, Mohamed A. Bencherif, Awais Mahmood, & Zulfiqar Ali. (2013). KSU rich Arabic speech database. Ulster University Research Portal (Ulster University). 16. 4231–4253. 25 indexed citations

17.

Mahmood, Awais, et al.. (2013). MDLF-Mavg: A new speech feature with a voice print. 14. 601–605. 2 indexed citations

18.

Muhammad, Ghulam, Tamer A. Mesallam, Khalid H. Malki, et al.. (2012). Multidirectional Regression (MDR)-Based Features for Automatic Voice Disorder Detection. Journal of Voice. 26(6). 817.e19–817.e27. 60 indexed citations

19.

Muhammad, Ghulam, Mansour Alsulaiman, Awais Mahmood, & Zulfiqar Ali. (2011). Automatic voice disorder classification using vowel formants. 1–6. 27 indexed citations

20.

Alsulaiman, Mansour, Awais Mahmood, Ghulam Muhammad, Mohamed A. Bencherif, & Yousef Ajami Alotaibi. (2010). A technique to overcome the problem of small size database for automatic speaker recognition. 34. 303–308. 6 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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