Ghulam Mujtaba

2.7k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Ghulam Mujtaba is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ghulam Mujtaba has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ghulam Mujtaba's work include Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (5 papers) and Network Security and Intrusion Detection (4 papers). Ghulam Mujtaba is often cited by papers focused on Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (5 papers) and Network Security and Intrusion Detection (4 papers). Ghulam Mujtaba collaborates with scholars based in Pakistan, Malaysia and Nigeria. Ghulam Mujtaba's co-authors include Henry Friday Nweke, Mohammed Ali Al-Garadi, Liyana Shuib, Teh Ying Wah, Ram Gopal Raj, Ghulam Murtaza, Mohammed Ali Al-Garadi, Ghulam Raza, Ainuddin Wahid Abdul Wahab and Kasturi Dewi Varathan and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ghulam Mujtaba

41 papers receiving 1.6k 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.

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

2018 297 citations Henry Friday Nweke, Teh Ying Wah et al. Information Fusion profile →

Peers

Ghulam Mujtaba

CVPR

RNMI

CNC

Lin Li China

Mabrook Al‐Rakhami Saudi Arabia

Ali Shariq Imran Norway

Mohammed Ali Al-Garadi United States

Rahul Katarya India

Siddique Latif Australia

Muhammad Ashad Kabir Australia

Chrisina Jayne United Kingdom

Mehrdad Rostami Finland

Lin Li China

Ghulam Mujtaba

1.0k ×1.2

367 ×0.9

CVPR

428 ×1.5

70 ×0.3

RNMI

178 ×0.9

CNC

Citations per year, relative to Ghulam Mujtaba Ghulam Mujtaba (= 1×) peers Lin Li

Countries citing papers authored by Ghulam Mujtaba

Since Specialization

Citations

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

Fields of papers citing papers by Ghulam Mujtaba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghulam Mujtaba

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

Ullah, Mohib, Ali Shariq Imran, Ghulam Mujtaba, et al.. (2024). A Self-Supervised Diffusion Framework For Facial Emotion Recognition. 465–471.

Khan, Sajid Ullah, et al.. (2023). Deep Learning-Based Noise Type Classification and Removal for Drone Image Restoration. Arabian Journal for Science and Engineering. 49(3). 4287–4306. 3 indexed citations

Khan, Sajid Ullah, et al.. (2020). Image Interpolation via Gradient Correlation-Based Edge Direction Estimation. Scientific Programming. 2020. 1–12. 8 indexed citations

Al-Garadi, Mohammed Ali, Mohammad Rashid Hussain, Nawsher Khan, et al.. (2019). Predicting Cyberbullying on Social Media in the Big Data Era Using Machine Learning Algorithms: Review of Literature and Open Challenges. IEEE Access. 7. 70701–70718. 110 indexed citations

Murtaza, Ghulam, Liyana Shuib, Ghulam Mujtaba, & Ghulam Raza. (2019). Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach. Multimedia Tools and Applications. 79(21-22). 15481–15511. 51 indexed citations

Khan, Sajid Ullah, Dong‐Ho Lee, Muhammad Asif Khan, Abdul Rehman Gilal, & Ghulam Mujtaba. (2019). Efficient Edge-Based Image Interpolation Method Using Neighboring Slope Information. IEEE Access. 7. 133539–133548. 13 indexed citations

Murtaza, Ghulam, Liyana Shuib, Ainuddin Wahid Abdul Wahab, et al.. (2019). Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges. Artificial Intelligence Review. 53(3). 1655–1720. 220 indexed citations

Nweke, Henry Friday, Teh Ying Wah, Ghulam Mujtaba, Uzoma Rita Alo, & Mohammed Ali Al-Garadi. (2019). Multi-sensor fusion based on multiple classifier systems for human activity identification. Human-centric Computing and Information Sciences. 9(1). 43 indexed citations

Mujtaba, Ghulam, et al.. (2018). Clinical text classification research trends: Systematic literature review and open issues. Expert Systems with Applications. 116. 494–520. 79 indexed citations

10.

Nweke, Henry Friday, Teh Ying Wah, Ghulam Mujtaba, & Mohammed Ali Al-Garadi. (2018). Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions. Information Fusion. 46. 147–170. 297 indexed citations breakdown →

11.

Mujtaba, Ghulam, et al.. (2018). Classification of forensic autopsy reports through conceptual graph-based document representation model. Journal of Biomedical Informatics. 82. 88–105. 13 indexed citations

12.

Shuib, Liyana, et al.. (2018). Social Media Recommender Systems: Review and Open Research Issues. IEEE Access. 6. 15608–15628. 85 indexed citations

13.

Al-Garadi, Mohammed Ali, Kasturi Dewi Varathan, Sri Devi Ravana, et al.. (2018). Analysis of Online Social Network Connections for Identification of Influential Users. ACM Computing Surveys. 51(1). 1–37. 73 indexed citations

14.

Al-Garadi, Mohammed Ali, et al.. (2018). Applications of big social media data analysis: An overview. 1–5. 2 indexed citations

15.

Mujtaba, Ghulam, et al.. (2017). Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection. PLoS ONE. 12(2). e0170242–e0170242. 33 indexed citations

16.

Mujtaba, Ghulam, et al.. (2017). Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study. Journal of Forensic and Legal Medicine. 57. 41–50. 24 indexed citations

17.

Khan, M. Sadiq Ali, et al.. (2016). Virtual Community Detection Through the Association between Prime Nodes in Online Social Networks and Its Application to Ranking Algorithms. IEEE Access. 4. 9614–9624. 23 indexed citations

18.

Al-Garadi, Mohammed Ali, M. Sadiq Ali Khan, Kasturi Dewi Varathan, Ghulam Mujtaba, & Abdelkodose Mohammed Al‐Kabsi. (2016). Using online social networks to track a pandemic: A systematic review. Journal of Biomedical Informatics. 62. 1–11. 116 indexed citations

19.

Mujtaba, Ghulam & David J. Parish. (2015). A Statistical Framework for Identification of Tunnelled Applications using Machine Learning. The International Arab Journal of Information Technology. 12. 785–790. 1 indexed citations

20.

Mahmood, Tariq, Ghulam Mujtaba, & Adriano Venturini. (2013). Dynamic personalization in conversational recommender systems. Information Systems and e-Business Management. 12(2). 213–238. 26 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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