Sumbal Maqsood

563 total citations
14 papers, 308 citations indexed

About

Sumbal Maqsood is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Sumbal Maqsood has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Sumbal Maqsood's work include Spam and Phishing Detection (7 papers), Misinformation and Its Impacts (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sumbal Maqsood is often cited by papers focused on Spam and Phishing Detection (7 papers), Misinformation and Its Impacts (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sumbal Maqsood collaborates with scholars based in Australia, Jordan and United Arab Emirates. Sumbal Maqsood's co-authors include Rami Mohawesh, Shuxiang Xu, Matthew Springer, Son N. Tran, Yaser Jararweh, Robert Ollington, Muna Al-Hawawreh, Saurabh Garg, Mohan Karunanithi and Qutaibah Althebyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sumbal Maqsood

13 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumbal Maqsood Australia	9	156	117	115	86	78	14	308
Rami Mohawesh Jordan	11	216 1.4×	153 1.3×	235 2.0×	90 1.0×	79 1.0×	25	487
Bjarne Pfitzner Germany	7	31 0.2×	32 0.3×	160 1.4×	22 0.3×	14 0.2×	16	234
Gagandeep Kaur India	6	60 0.4×	29 0.2×	159 1.4×	13 0.2×	22 0.3×	41	292
Mohammad Moshawrab Lebanon	6	23 0.1×	10 0.1×	114 1.0×	39 0.5×	29 0.4×	10	245
Ali Raad Lebanon	6	23 0.1×	10 0.1×	114 1.0×	40 0.5×	29 0.4×	14	251
Jorge Werner Brazil	6	167 1.1×	13 0.1×	74 0.6×	48 0.6×	12 0.2×	11	344
Plamen Mateev Bulgaria	9	16 0.1×	38 0.3×	80 0.7×	43 0.5×	6 0.1×	22	297
James L. Johnson United States	11	26 0.2×	111 0.9×	23 0.2×	34 0.4×	3 0.0×	24	276
Shivam Pandey India	6	44 0.3×	60 0.5×	139 1.2×	9 0.1×	4 0.1×	39	248

Countries citing papers authored by Sumbal Maqsood

Since Specialization

Citations

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

Fields of papers citing papers by Sumbal Maqsood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumbal Maqsood

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

All Works

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14 of 14 papers shown

Mohawesh, Rami, et al.. (2025). Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media. Journal Of Big Data. 12(1). 1 indexed citations

Maqsood, Sumbal, et al.. (2025). Temporal attention to estimate continuous blood pressure using photoplethysmography signals. Cluster Computing. 28(6).

Mohawesh, Rami, et al.. (2024). Fake review detection using transformer-based enhanced LSTM and RoBERTa. SHILAP Revista de lepidopterología. 5. 250–258. 7 indexed citations

Mohawesh, Rami, Shuxiang Xu, Matthew Springer, et al.. (2023). An explainable ensemble of multi-view deep learning model for fake review detection. Journal of King Saud University - Computer and Information Sciences. 35(8). 101644–101644. 15 indexed citations

Xu, Shuxiang, et al.. (2023). Exploiting deep transformer models in textual review based recommender systems. Expert Systems with Applications. 235. 121120–121120. 25 indexed citations

Salameh, Haythem Bany, et al.. (2023). Generative Adversarial Network (GAN) in Social Network: Introduction, Applications, Challenges and Future Directions. 1–7. 2 indexed citations

Mohawesh, Rami, Sumbal Maqsood, & Qutaibah Althebyan. (2023). Multilingual deep learning framework for fake news detection using capsule neural network. Journal of Intelligent Information Systems. 60(3). 655–671. 22 indexed citations

Mohawesh, Rami, Sumbal Maqsood, Yaser Jararweh, & Haythem Bany Salameh. (2023). Federated Learning Support for Cybersecurity: Fundamentals, Applications, and Opportunities. 50–56. 4 indexed citations

Mohawesh, Rami, et al.. (2023). Factitious or fact? Learning textual representations for fake online review detection. Cluster Computing. 27(3). 3307–3322. 10 indexed citations

10.

Maqsood, Sumbal, Shuxiang Xu, Son N. Tran, et al.. (2022). A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. Expert Systems with Applications. 197. 116788–116788. 48 indexed citations

11.

Maqsood, Sumbal, Shuxiang Xu, Matthew Springer, & Rami Mohawesh. (2021). A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG). IEEE Access. 9. 138817–138833. 44 indexed citations

12.

Mohawesh, Rami, Shuxiang Xu, Son N. Tran, et al.. (2021). Fake Reviews Detection: A Survey. IEEE Access. 9. 65771–65802. 111 indexed citations

13.

Mohawesh, Rami, Shuxiang Xu, Matthew Springer, Muna Al-Hawawreh, & Sumbal Maqsood. (2021). Fake or Genuine? Contextualised Text Representation for Fake Review Detection. arXiv (Cornell University). 137–148. 11 indexed citations

14.

Maqsood, Sumbal, et al.. (2018). An exploratory study of children's online password behaviours. 539–544. 8 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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