Qamar Rayees Khan

691 total citations · 1 hit paper
17 papers, 411 citations indexed

About

Qamar Rayees Khan is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Qamar Rayees Khan has authored 17 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 5 papers in Social Psychology. Recurrent topics in Qamar Rayees Khan's work include Misinformation and Its Impacts (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Mental Health via Writing (5 papers). Qamar Rayees Khan is often cited by papers focused on Misinformation and Its Impacts (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Mental Health via Writing (5 papers). Qamar Rayees Khan collaborates with scholars based in India, Saudi Arabia and Czechia. Qamar Rayees Khan's co-authors include Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Nusrat Rouf, Zenun Kastrati, Mudasir Ahmad Wani, Ali Shariq Imran, Roshani Raut, Bharat Bhushan, Rutvij H. Jhaveri and Mohd Naseem and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Qamar Rayees Khan

17 papers receiving 388 citations

Hit Papers

Machine learning based ap... 2020 2026 2022 2024 2020 50 100 150 200
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. Machine learning based approaches for detecting COVID-19 using clinical text data
    2020 213 citations Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani et al. International Journal of Information Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qamar Rayees Khan India 9 218 153 68 67 47 17 411
Syed Tanzeel Rabani India 9 230 1.1× 156 1.0× 76 1.1× 69 1.0× 49 1.0× 16 416
Akib Mohi Ud Din Khanday India 10 234 1.1× 158 1.0× 76 1.1× 68 1.0× 50 1.1× 23 441
Rajib Bag India 7 323 1.5× 30 0.2× 160 2.4× 104 1.6× 31 0.7× 20 489
Vaibhav Bhatnagar India 9 99 0.5× 121 0.8× 18 0.3× 34 0.5× 11 0.2× 34 458
Jing Mei China 10 200 0.9× 17 0.1× 29 0.4× 57 0.9× 103 2.2× 58 434
Koyel Chakraborty India 4 271 1.2× 21 0.1× 160 2.4× 102 1.5× 32 0.7× 8 384
Nusrat Rouf India 3 135 0.6× 142 0.9× 17 0.3× 28 0.4× 5 0.1× 5 342
John M. Aronis United States 13 233 1.1× 39 0.3× 16 0.2× 112 1.7× 12 0.3× 29 565
William Boag United States 6 715 3.3× 83 0.5× 30 0.4× 26 0.4× 31 0.7× 12 873
El-Sayed Atlam Saudi Arabia 9 153 0.7× 32 0.2× 11 0.2× 38 0.6× 5 0.1× 24 288

Countries citing papers authored by Qamar Rayees Khan

Since Specialization
Citations

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

Fields of papers citing papers by Qamar Rayees Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qamar Rayees Khan. 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 Qamar Rayees Khan. The network helps show where Qamar Rayees Khan may publish in the future.

Co-authorship network of co-authors of Qamar Rayees Khan

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

All Works

17 of 17 papers shown
1.
Khanday, Akib Mohi Ud Din, Mudasir Ahmad Wani, Syed Tanzeel Rabani, Qamar Rayees Khan, & Ahmed A. Abd El‐Latif. (2024). HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media. PLoS ONE. 19(7). e0302583–e0302583. 2 indexed citations
2.
Khanday, Akib Mohi Ud Din, Mudasir Ahmad Wani, Syed Tanzeel Rabani, & Qamar Rayees Khan. (2023). Hybrid Approach for Detecting Propagandistic Community and Core Node on Social Networks. Sustainability. 15(2). 1249–1249. 14 indexed citations
3.
Rabani, Syed Tanzeel, et al.. (2023). Detecting suicidality on social media: Machine learning at rescue. Egyptian Informatics Journal. 24(2). 291–302. 22 indexed citations
4.
Khan, Qamar Rayees, et al.. (2022). IoT-Smart Agriculture: Comparative Study on Farming Applications and Disease Prediction of Apple Crop using Machine Learning. Iraqi Journal of Science. 5520–5533. 2 indexed citations
5.
Khanday, Akib Mohi Ud Din, Bharat Bhushan, Rutvij H. Jhaveri, et al.. (2022). NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era. Mobile Information Systems. 2022. 1–10. 9 indexed citations
6.
Khanday, Akib Mohi Ud Din, Qamar Rayees Khan, & Syed Tanzeel Rabani. (2022). Ensemble Approach for Detecting COVID-19 Propaganda on Online Social Networks. Iraqi Journal of Science. 4488–4498. 2 indexed citations
7.
Khanday, Akib Mohi Ud Din, et al.. (2022). Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques. International Journal of Information Management Data Insights. 2(2). 100120–100120. 34 indexed citations
8.
Khan, Qamar Rayees, et al.. (2021). Machine Learning Techniques and Computing Technologies for IoT based Smart Healthcare (COVID-19 Case Study). 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). 2089–2095. 4 indexed citations
9.
Rabani, Syed Tanzeel, Qamar Rayees Khan, & Akib Mohi Ud Din Khanday. (2021). A NOVEL APPROACH TO PREDICT THE LEVEL OF SUICIDAL IDEATION ON SOCIAL NETWORKS USING MACHINE AND ENSEMBLE LEARNING. SHILAP Revista de lepidopterología. 11(2). 2288–2293. 2 indexed citations
10.
Rabani, Syed Tanzeel, Qamar Rayees Khan, & Akib Mohi Ud Din Khanday. (2021). Quantifying Suicidal Ideation on Social Media using Machine Learning: A Critical Review. Iraqi Journal of Science. 4092–4100. 5 indexed citations
11.
Naseem, Mohd, et al.. (2021). Routing Protocols for Internet of Vehicles: A Review. 95–103. 8 indexed citations
12.
Rabani, Syed Tanzeel, Qamar Rayees Khan, & Akib Mohi Ud Din Khanday. (2020). Multi-Class Suicide Risk Prediction on Twitter Using Machine Learning Techniques. 9. 128–134. 4 indexed citations
13.
Khanday, Akib Mohi Ud Din, Qamar Rayees Khan, & Syed Tanzeel Rabani. (2020). Identifying propaganda from online social networks during COVID-19 using machine learning techniques. International Journal of Information Technology. 13(1). 115–122. 46 indexed citations
14.
Khanday, Akib Mohi Ud Din, Qamar Rayees Khan, & Syed Tanzeel Rabani. (2020). Detecting Textual Propaganda Using Machine Learning Techniques. SHILAP Revista de lepidopterología. 18(1). 199–199. 16 indexed citations
15.
Khanday, Akib Mohi Ud Din, et al.. (2020). Machine learning based approaches for detecting COVID-19 using clinical text data. International Journal of Information Technology. 12(3). 731–739. 213 indexed citations breakdown →
16.
Rabani, Syed Tanzeel, Qamar Rayees Khan, & Akib Mohi Ud Din Khanday. (2020). Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches. SHILAP Revista de lepidopterología. 17(4). 25 indexed citations
17.
Khanday, Akib Mohi Ud Din, Qamar Rayees Khan, & Syed Tanzeel Rabani. (2020). Analysing and Predicting Propaganda on Social Media using Machine Learning Techniques. 21. 122–127. 3 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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