Naima Iltaf

608 total citations
56 papers, 412 citations indexed

About

Naima Iltaf is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naima Iltaf has authored 56 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 26 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naima Iltaf's work include Recommender Systems and Techniques (12 papers), Access Control and Trust (10 papers) and Topic Modeling (8 papers). Naima Iltaf is often cited by papers focused on Recommender Systems and Techniques (12 papers), Access Control and Trust (10 papers) and Topic Modeling (8 papers). Naima Iltaf collaborates with scholars based in Pakistan, United States and South Korea. Naima Iltaf's co-authors include Hammad Afzal, Abdul Ghafoor, Muhammad Mohsin Riaz, Haider Abbas, Raheel Nawaz, Fahim Arif, Syed Sohaib Ali, Moongu Jeon, Waseem Iqbal and Farrukh Kamran and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Naima Iltaf

50 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naima Iltaf Pakistan	13	176	152	126	84	66	56	412
Chuntao Jiang China	9	182 1.0×	160 1.1×	146 1.2×	85 1.0×	13 0.2×	22	454
Ximing Li China	16	572 3.3×	149 1.0×	123 1.0×	34 0.4×	34 0.5×	81	716
Mandis Beigi United States	9	72 0.4×	74 0.5×	209 1.7×	103 1.2×	57 0.9×	18	375
Songlei Jian China	15	367 2.1×	167 1.1×	112 0.9×	136 1.6×	45 0.7×	34	490
Christos Papadopoulos United States	12	210 1.2×	98 0.6×	243 1.9×	251 3.0×	19 0.3×	30	558
Nikolaos Pappas Switzerland	12	500 2.8×	129 0.8×	244 1.9×	25 0.3×	35 0.5×	32	693
Ian Oliver Finland	11	170 1.0×	149 1.0×	67 0.5×	184 2.2×	42 0.6×	63	436
Marcos Aurélio Domingues Brazil	11	137 0.8×	185 1.2×	103 0.8×	25 0.3×	34 0.5×	44	321
Harris Papadakis Greece	9	138 0.8×	224 1.5×	98 0.8×	186 2.2×	24 0.4×	35	450
Arthur Sandor Voundi Koe China	11	190 1.1×	179 1.2×	32 0.3×	83 1.0×	40 0.6×	26	330

Countries citing papers authored by Naima Iltaf

Since Specialization

Citations

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

Fields of papers citing papers by Naima Iltaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naima Iltaf

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

Islam, Ihtesham Ul, et al.. (2025). Federated Learning With Explainable AI for Malicious Traffic Detection in IoT Networks. IEEE Access. 13. 173368–173383.

Khan, Zeeshan, et al.. (2024). ConvSeq-MF: Convo-Sequential Matrix Factorization for recommender system. Neurocomputing. 618. 128932–128932. 1 indexed citations

Afzal, Hammad, et al.. (2024). Low Resource Summarization using Pre-trained Language Models. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(10). 1–19. 7 indexed citations

Iltaf, Naima, et al.. (2024). Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference. IEEE Access. 12. 182353–182373.

Gwak, Jeonghwan, et al.. (2024). RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media. Journal Of Big Data. 11(1). 3 indexed citations

Iltaf, Naima, et al.. (2023). Deep-view linguistic and inductive learning (DvLIL) based framework for Image Retrieval. Information Sciences. 649. 119641–119641. 2 indexed citations

Afzal, Hammad, Taher Al‐Shehari, Muna Al‐Razgan, et al.. (2023). Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning. IEEE Access. 11. 127637–127650. 5 indexed citations

Anwar, Zeeshan, Hammad Afzal, Ali Ahsan, Naima Iltaf, & Ayesha Maqbool. (2023). A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality. Journal of Intelligent Systems. 32(1). 6 indexed citations

Afzal, Hammad, et al.. (2023). Detection and Analysis of Mental Health Illness using Social Media. 34–41. 1 indexed citations

10.

Iltaf, Naima, et al.. (2023). Metadata based Cross-Domain Recommender Framework using Neighborhood Mapping. 109. 1–8. 1 indexed citations

11.

Hafeez, Yaser, et al.. (2023). Improving Software Product Line Challenges In Globally Distributed Environment Using Modern Strategies. 21. 134–139. 1 indexed citations

12.

Afzal, Hammad, et al.. (2023). Diagnosis and Identification of Citrus Canker Growth Rate Using Machine Learning. 13. 75–79. 1 indexed citations

13.

Iltaf, Naima, et al.. (2023). CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks. IEEE Access. 11. 90724–90738. 2 indexed citations

14.

Rubab, Saddaf, et al.. (2022). S-RAP: relevance-aware QoS prediction in web-services and user contexts. Knowledge and Information Systems. 64(7). 1997–2022. 4 indexed citations

15.

Arif, Fahim, et al.. (2020). Novel Approach Using Deep Learning for Intrusion Detection and Classification of the Network Traffic. 1–6. 8 indexed citations

16.

Riaz, Muhammad Mohsin, et al.. (2019). Magnetic resonance and computed tomography image fusion using saliency map and cross bilateral filter. Signal Image and Video Processing. 13(6). 1157–1164. 6 indexed citations

17.

Riaz, Muhammad Mohsin, et al.. (2019). Content-based histopathological image retrieval using multi-scale and multichannel decoder based LTP. Biomedical Signal Processing and Control. 54. 101582–101582. 10 indexed citations

18.

Iltaf, Naima, et al.. (2018). HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items. Journal of Computational Science. 29. 9–18. 41 indexed citations

19.

Riaz, Muhammad Mohsin, et al.. (2017). An Efficient Eulerian Video Magnification Technique for Micro-biology Applications. Radioengineering. 26(1). 316–322. 3 indexed citations

20.

Riaz, Muhammad Mohsin, et al.. (2016). Image Contrast Enhancement Using Weighted Transformation Function. IEEE Sensors Journal. 16(20). 7534–7536. 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.

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