Raheem Sarwar

853 total citations
54 papers, 492 citations indexed

About

Raheem Sarwar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Raheem Sarwar has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Raheem Sarwar's work include Topic Modeling (16 papers), Authorship Attribution and Profiling (15 papers) and Natural Language Processing Techniques (12 papers). Raheem Sarwar is often cited by papers focused on Topic Modeling (16 papers), Authorship Attribution and Profiling (15 papers) and Natural Language Processing Techniques (12 papers). Raheem Sarwar collaborates with scholars based in United Kingdom, Pakistan and China. Raheem Sarwar's co-authors include Saeed‐Ul Hassan, Sarana Nutanong, Raheel Nawaz, Naif Radi Aljohani, Thanawin Rakthanmanon, Amina Muazzam, Francisco Herrera, Eugenio Martínez‐Cámara, Sebastián Ventura and Yuwen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Raheem Sarwar

48 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raheem Sarwar United Kingdom	13	309	94	89	49	48	54	492
Mubashir Imran Saudi Arabia	6	169 0.5×	96 1.0×	62 0.7×	45 0.9×	18 0.4×	10	318
Diana Purwitasari Indonesia	10	216 0.7×	149 1.6×	34 0.4×	10 0.2×	45 0.9×	144	392
Su Nam Kim Australia	14	1.1k 3.5×	200 2.1×	23 0.3×	30 0.6×	36 0.8×	44	1.2k
Mohamed Ali Hadj Taieb Tunisia	16	481 1.6×	88 0.9×	39 0.4×	13 0.3×	29 0.6×	46	631
Mohamed Ben Aouicha Tunisia	16	492 1.6×	89 0.9×	39 0.4×	13 0.3×	29 0.6×	52	645
Cyril Labbé France	14	262 0.8×	80 0.9×	29 0.3×	34 0.7×	31 0.6×	52	547
Hidetsugu Nanba Japan	14	393 1.3×	128 1.4×	24 0.3×	32 0.7×	37 0.8×	53	509
Sukomal Pal India	12	479 1.6×	292 3.1×	105 1.2×	11 0.2×	47 1.0×	63	712
Stephen R. Poteet United States	5	187 0.6×	109 1.2×	47 0.5×	5 0.1×	20 0.4×	9	336
Ayoub Bagheri Netherlands	13	334 1.1×	132 1.4×	58 0.7×	26 0.5×	18 0.4×	36	539

Countries citing papers authored by Raheem Sarwar

Since Specialization

Citations

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

Fields of papers citing papers by Raheem Sarwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raheem Sarwar

This figure shows the co-authorship network connecting the top 25 collaborators of Raheem Sarwar. A scholar is included among the top collaborators of Raheem Sarwar 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 Raheem Sarwar. Raheem Sarwar 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

Chen, Yuwen, et al.. (2025). Personalized federated learning with fairness, robustness, and collaboration incentives. Applied Soft Computing. 183. 113610–113610.

Chen, Yuwen, et al.. (2024). Communication optimization techniques in Personalized Federated Learning: Applications, challenges and future directions. Information Fusion. 117. 102834–102834. 1 indexed citations

Kanwal, Shamsa, et al.. (2024). A robust approach to satellite image encryption using chaotic map and circulant matrices. Engineering Reports. 6(12). 3 indexed citations

Ahmad, Farooq, et al.. (2024). Deep deterministic policy gradients with a self-adaptive reward mechanism for image retrieval. The Journal of Supercomputing. 81(1). 2 indexed citations

Hadi, Muhammad N.S., Iqra Safder, Hajra Waheed, et al.. (2024). A transformer-based Urdu image caption generation. Journal of Ambient Intelligence and Humanized Computing. 15(9). 3441–3457. 1 indexed citations

Wang, Zhenfei, et al.. (2024). An efficient enhanced feature framework for grading of renal cell carcinoma using Histopathological Images. Applied Intelligence. 55(3). 2 indexed citations

Khan, Muhammad Usman Ghani, et al.. (2024). Vision based intelligent traffic light management system using Faster R‐CNN. CAAI Transactions on Intelligence Technology. 9(4). 932–947. 4 indexed citations

Sarwar, Raheem, Le An Ha, Pin Shen Teh, et al.. (2024). AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model. IEEE Access. 12. 15399–15409. 3 indexed citations

Sarwar, Raheem, et al.. (2023). Extracting Algorithmic Complexity in Scientific Literature for Advance Searching. 1. 39–65. 1 indexed citations

10.

Sarwar, Raheem, et al.. (2023). Text Data Augmentation Using Generative Adversarial Networks – A Systematic Review. e-space (Manchester Metropolitan University). 1. 6–38. 3 indexed citations

11.

Chen, Yuwen, et al.. (2023). Model optimization techniques in personalized federated learning: A survey. Expert Systems with Applications. 243. 122874–122874. 41 indexed citations

12.

Hassan, Muhammad Umair, et al.. (2023). Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study. Heliyon. 9(4). e15407–e15407. 10 indexed citations

13.

Nawaz, Raheel, et al.. (2023). Analyzing the Legacy and Scientific Impact of Saeed-Ul Hassan: A Pakistani Scientometrician, Data Scientist and Winner of the Eugene Garfield Award 2017 and 2022. Science & Technology Libraries. 42(4). 428–440.

14.

Hassan, Saeed‐Ul, Naif Radi Aljohani, Iqra Safder, et al.. (2022). Exploiting tweet sentiments in altmetrics large-scale data. Journal of Information Science. 49(5). 1229–1245. 5 indexed citations

15.

Sarwar, Raheem, et al.. (2022). Translator attribution for Arabic using machine learning. Digital Scholarship in the Humanities. 38(2). 658–666. 4 indexed citations

16.

Sarwar, Raheem, et al.. (2021). Webometrics: evolution of social media presence of universities. Scientometrics. 126(2). 951–967. 22 indexed citations

17.

Sarwar, Raheem, Attapol Rutherford, Saeed‐Ul Hassan, Thanawin Rakthanmanon, & Sarana Nutanong. (2020). Native Language Identification of Fluent and Advanced Non-Native Writers. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(4). 1–19. 13 indexed citations

18.

Sarwar, Raheem, et al.. (2020). $CAG$ : Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph. IEEE Access. 8. 18374–18393. 15 indexed citations

19.

Sarwar, Raheem, Qing Li, Thanawin Rakthanmanon, & Sarana Nutanong. (2018). A scalable framework for cross-lingual authorship identification. Information Sciences. 465. 323–339. 18 indexed citations

20.

Sarwar, Raheem, et al.. (2018). An Effective and Scalable Framework for Authorship Attribution Query Processing. IEEE Access. 6. 50030–50048. 14 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.

Explore authors with similar magnitude of impact