Anees Baqir

504 total citations
16 papers, 265 citations indexed

About

Anees Baqir is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Anees Baqir has authored 16 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Anees Baqir's work include Spam and Phishing Detection (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Anees Baqir is often cited by papers focused on Spam and Phishing Detection (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Anees Baqir collaborates with scholars based in Italy, Pakistan and United Kingdom. Anees Baqir's co-authors include Mubashir Ali, Umair Muneer Butt, Sukumar Letchmunan, Hafiz Husnain Raza Sherazi, Fadratul Hafinaz Hassan, Usman Ahmad, Giuseppe Psaila, Alessandro Galeazzi, Muhammad Babar Rasheed and Thamer‎ Alquthami and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Anees Baqir

15 papers receiving 253 citations

Peers

Anees Baqir
Md Musfique Anwar Bangladesh
Samina Amin Pakistan
T. Meyyappan India
Mengyue Liu China
Nur Ghaniaviyanto Ramadhan Indonesia
Talha Bin Sarwar Malaysia
Neesha Jothi Malaysia
Akhtar Rasool India
Md Musfique Anwar Bangladesh
Anees Baqir
Citations per year, relative to Anees Baqir Anees Baqir (= 1×) peers Md Musfique Anwar

Countries citing papers authored by Anees Baqir

Since Specialization
Citations

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

Fields of papers citing papers by Anees Baqir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anees Baqir

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

All Works

16 of 16 papers shown
1.
Baqir, Anees, et al.. (2025). Unveiling the drivers of active participation in social media discourse. Scientific Reports. 15(1). 4906–4906.
2.
Baqir, Anees, et al.. (2024). Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter. Scientific Reports. 14(1). 18902–18902. 2 indexed citations
3.
Baqir, Anees, Alessandro Galeazzi, & Fabiana Zollo. (2024). News and misinformation consumption: A temporal comparison across European countries. PLoS ONE. 19(5). e0302473–e0302473. 4 indexed citations
4.
Ali, Mubashir, et al.. (2024). An Extended Pattern Based Comprehensive Stemmer for the Urdu Language. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(12). 1–18. 1 indexed citations
5.
Ali, Mubashir, Anees Baqir, Hafiz Husnain Raza Sherazi, et al.. (2022). Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 2411–2427. 6 indexed citations
6.
Butt, Umair Muneer, Sukumar Letchmunan, Fadratul Hafinaz Hassan, et al.. (2021). Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access. 9. 47516–47529. 32 indexed citations
7.
Butt, Umair Muneer, Sukumar Letchmunan, Mubashir Ali, et al.. (2021). Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Journal of Healthcare Engineering. 2021. 1–17. 107 indexed citations
8.
Baqir, Anees, et al.. (2021). Classifying Emotions in Roman Urdu Posts using Machine Learning. 1–7. 5 indexed citations
9.
Ali, Mubashir, et al.. (2021). Mining software architecture knowledge: Classifying stack overflow posts using machine learning. Concurrency and Computation Practice and Experience. 33(16). 6 indexed citations
10.
Ali, Mubashir, et al.. (2020). Towards the Discovery of Influencers to Follow in Micro-Blogs (Twitter) by Detecting Topics in Posted Messages (Tweets). Applied Sciences. 10(16). 5715–5715. 9 indexed citations
11.
12.
Butt, Umair Muneer, Sukumar Letchmunan, Fadratul Hafinaz Hassan, et al.. (2020). Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review. IEEE Access. 8. 166553–166574. 50 indexed citations
13.
Butt, Umair Muneer, et al.. (2020). Detecting Video Surveillance Using VGG19 Convolutional Neural Networks. International Journal of Advanced Computer Science and Applications. 11(2). 23 indexed citations
14.
Cheema, Sehrish Munawar, et al.. (2020). A Recommendation System for Functional Features to aid Requirements Reuse. 1–4. 5 indexed citations
15.
Ashraf, Imran, et al.. (2020). Prediction of User’s Interest Based on Urdu Tweets. 1–6. 6 indexed citations
16.
Baqir, Anees, et al.. (2019). Enhancing the Authentication Mechanism of Social Media Websites using Face Detection. 1–5. 1 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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2026