Maaz Amjad

557 total citations · 1 hit paper
21 papers, 369 citations indexed

About

Maaz Amjad is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Maaz Amjad has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 6 papers in Information Systems. Recurrent topics in Maaz Amjad's work include Misinformation and Its Impacts (7 papers), Spam and Phishing Detection (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Maaz Amjad is often cited by papers focused on Misinformation and Its Impacts (7 papers), Spam and Phishing Detection (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Maaz Amjad collaborates with scholars based in United States, Mexico and Pakistan. Maaz Amjad's co-authors include Mahmood Ahmad, Grigori Sidorov, Paweł Kamiński, Irshad Ahmad, Piotr Wróblewski, Alexander Gelbukh, Feezan Ahmad, Asim Farooq, Jilei Hu and Muhammad Junaid Iqbal and has published in prestigious journals such as PLoS ONE, IEEE Access and Materials.

In The Last Decade

Maaz Amjad

18 papers receiving 348 citations

Hit Papers

Prediction of Pile Bearing Capacity Using XGBoost Algorit... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
    2022 139 citations Maaz Amjad, Irshad Ahmad et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maaz Amjad United States 9 149 128 78 76 47 21 369
Gaurav Kumar India 8 139 0.9× 38 0.3× 18 0.2× 12 0.2× 62 1.3× 44 309
Juan Pineda-Jaramillo Colombia 11 39 0.3× 22 0.2× 14 0.2× 5 0.1× 35 0.7× 32 278
Jitendra Agarwal United Kingdom 14 326 2.2× 16 0.1× 35 0.4× 8 0.1× 12 0.3× 31 549
Adel Mottahedi Iran 9 187 1.3× 20 0.2× 26 0.3× 6 0.1× 70 1.5× 11 348
José Saias Portugal 8 11 0.1× 129 1.0× 6 0.1× 28 0.4× 69 1.5× 31 234
Azal Ahmad Khan India 3 14 0.1× 69 0.5× 9 0.1× 13 0.2× 6 0.1× 7 218
Emmanuel Kidando United States 13 45 0.3× 37 0.3× 15 0.2× 5 0.1× 306 6.5× 55 534
Kamaluddeen Usman Danyaro Malaysia 8 25 0.2× 54 0.4× 10 0.1× 18 0.2× 3 0.1× 47 208
Muhardi Muhardi Indonesia 11 68 0.5× 57 0.4× 8 0.1× 142 1.9× 4 0.1× 111 388
И.Г. Малыгин Russia 8 179 1.2× 10 0.1× 51 0.7× 11 0.1× 7 0.1× 30 278

Countries citing papers authored by Maaz Amjad

Since Specialization
Citations

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

Fields of papers citing papers by Maaz Amjad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maaz Amjad

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

All Works

20 of 20 papers shown
1.
2.
Amjad, Maaz, et al.. (2025). Advanced Brain Tumor Segmentation Using SAM2-UNet. Applied Sciences. 15(6). 3267–3267. 2 indexed citations
3.
Sidorov, Grigori, et al.. (2025). Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach. Information. 16(7). 545–545. 2 indexed citations
4.
5.
Amjad, Maaz, et al.. (2024). AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol. BMJ Open. 14(8). e084728–e084728.
6.
Graham, S. Scott, et al.. (2024). An interpretable machine learning framework for opioid overdose surveillance from emergency medical services records. PLoS ONE. 19(1). e0292170–e0292170. 3 indexed citations
7.
Amjad, Maaz, et al.. (2022). Automatic Abusive Language Detection in Urdu Tweets. Acta Polytechnica Hungarica. 19(10). 143–163. 8 indexed citations
8.
Amjad, Maaz, et al.. (2022). Survey of Fake News Datasets and Detection Methods in European and Asian Languages. Acta Polytechnica Hungarica. 19(10). 185–204. 8 indexed citations
9.
Amjad, Maaz, et al.. (2022). EmoThreat@FIRE2022: Shared Track on Emotions and Threat Detection in Urdu. 1–3. 2 indexed citations
10.
Ahmad, Irshad, et al.. (2022). Analysis and Design of Piled Raft Foundation Taking into Account Interaction Factors. Advances in Civil Engineering. 2022(1). 9 indexed citations
11.
Amjad, Maaz, et al.. (2022). Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020. arXiv (Cornell University). 434–446. 4 indexed citations
12.
Ahmad, Mahmood, Maaz Amjad, Ramez A. Al-Mansob, et al.. (2022). Prediction of Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression. Applied Sciences. 12(4). 1977–1977. 18 indexed citations
13.
Amjad, Maaz, et al.. (2022). Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation. Applied Sciences. 12(4). 2126–2126. 139 indexed citations breakdown →
14.
Amjad, Maaz, et al.. (2021). Threatening Language Detection and Target Identification in Urdu Tweets. IEEE Access. 9. 128302–128313. 31 indexed citations
15.
Ahmad, Mahmood, Jilei Hu, Feezan Ahmad, et al.. (2021). Supervised Learning Methods for Modeling Concrete Compressive Strength Prediction at High Temperature. Materials. 14(8). 1983–1983. 56 indexed citations
16.
Amjad, Maaz, et al.. (2021). UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu. 19–21. 2 indexed citations
17.
Amjad, Maaz, et al.. (2021). UrduThreat@ FIRE2021: Shared Track on Abusive Threat Identification in Urdu. 9–11. 12 indexed citations
18.
Amjad, Maaz, et al.. (2020). Data Augmentation using Machine Translation for Fake News Detection in the Urdu Language. Language Resources and Evaluation. 2537–2542. 22 indexed citations
19.
Amjad, Maaz, et al.. (2020). “Bend the truth”: Benchmark dataset for fake news detection in Urdu language and its evaluation. Journal of Intelligent & Fuzzy Systems. 39(2). 2457–2469. 38 indexed citations
20.
Amjad, Maaz, et al.. (2020). UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu. 37–40. 10 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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