Md Tabrez Nafis

578 total citations
27 papers, 214 citations indexed

About

Md Tabrez Nafis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Md Tabrez Nafis has authored 27 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Md Tabrez Nafis's work include Artificial Intelligence in Healthcare (4 papers), Spam and Phishing Detection (3 papers) and Advanced Text Analysis Techniques (3 papers). Md Tabrez Nafis is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Spam and Phishing Detection (3 papers) and Advanced Text Analysis Techniques (3 papers). Md Tabrez Nafis collaborates with scholars based in India, Saudi Arabia and China. Md Tabrez Nafis's co-authors include M. Afshar Alam, Muhammad Arif, Guojun Wang, Ranjit Biswas, Hafiz Tayyab Rauf, Muhammad Arif, Saleh Albahli, Shahab Saquib Sohail, Gautam Siddharth Kashyap and Mohd Abdul Ahad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Md Tabrez Nafis

21 papers receiving 196 citations

Peers

Md Tabrez Nafis

HIM

RNMI

CCM

Ritika Mehra India

Bader Aldughayfiq Saudi Arabia

Ali Raad Lebanon

Mohammad Moshawrab Canada

Muhammad Mateen Yaqoob Pakistan

Rashmi Gururajan Australia

Sarina Aminizadeh Iran

Mahsa Rezaei Iran

Bader Fahad Alkhamees Saudi Arabia

Nikos Fazakis Greece

Ritika Mehra India

Md Tabrez Nafis

67 ×0.7

62 ×1.2

HIM

25 ×0.7

22 ×0.6

RNMI

26 ×1.0

CCM

Citations per year, relative to Md Tabrez Nafis Md Tabrez Nafis (= 1×) peers Ritika Mehra

Countries citing papers authored by Md Tabrez Nafis

Since Specialization

Citations

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

Fields of papers citing papers by Md Tabrez Nafis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Tabrez Nafis. 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 Md Tabrez Nafis. The network helps show where Md Tabrez Nafis may publish in the future.

Co-authorship network of co-authors of Md Tabrez Nafis

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

All Works

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20 of 20 papers shown

Sohail, Shahab Saquib, et al.. (2025). Deep learning in disability research: A bibliometric analysis. SHILAP Revista de lepidopterología. 6. 100046–100046. 1 indexed citations

Alhazmi, Samah, et al.. (2024). Developing Intelligent and Immutable Vaccine Supply and Operation Platform Using Blockchain and Artificial Intelligence Technologies. IEEE Access. 12. 88189–88201. 4 indexed citations

Kashyap, Gautam Siddharth, et al.. (2024). From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility. arXiv (Cornell University). 23 indexed citations

Nafis, Md Tabrez, et al.. (2024). Early spotting of Parkinson's illness using machine learning techniques. AIP conference proceedings. 3107. 50019–50019. 1 indexed citations

Rahmani, Mohammad Khalid Imam, et al.. (2024). Smart Parking: An Efficient System for Parking and Payment. International Journal of Advanced Computer Science and Applications. 15(6).

Fazil, Mohd, et al.. (2023). Biomedical Text Classification Using Augmented Word Representation Based on Distributional and Relational Contexts. Computational Intelligence and Neuroscience. 2023(1). 2989791–2989791. 3 indexed citations

Sohail, Shahab Saquib, et al.. (2022). Classification of Cumin, Fennel and Carom Using Transfer Learning. 46–49. 1 indexed citations

Rahmani, Mohammad Khalid Imam, et al.. (2022). A Deterministic Model for Determining Degree of Friendship Based on Mutual Likings and Recommendations on OTT Platforms. Computational Intelligence and Neuroscience. 2022. 1–11.

Wang, Guojun, et al.. (2022). Vehicular Ad Hoc Networks. 3 indexed citations

10.

Ahad, Mohd Abdul, et al.. (2021). Introducing “α-Sustainable Development” for transforming our world: A proposal for the 2030 agenda. Journal of Cleaner Production. 321. 129030–129030. 19 indexed citations

11.

Samad, Abdus, et al.. (2021). A Cognitive Approach in Software Automation Testing. SSRN Electronic Journal. 2 indexed citations

12.

Sohail, Shahab Saquib, et al.. (2021). The Impact of Randomized Algorithm over Recommender System. Procedia Computer Science. 194. 218–223. 3 indexed citations

13.

Wazir, Samar, et al.. (2021). Modeling infectious diseases: Understanding social connectivity to control infectious diseases. Informatics in Medicine Unlocked. 26. 100761–100761. 2 indexed citations

14.

Nafis, Md Tabrez, et al.. (2021). Impact Of Artificial Intelligence In Robust & Secure Cybersecurity Systems: A Review. SSRN Electronic Journal. 2 indexed citations

15.

Nafis, Md Tabrez, et al.. (2019). Internet Banking Fraud Detection Using Deep Learning Based on Decision Tree and Multilayer Perceptron. International Conference on Computing for Sustainable Global Development. 1298–1302. 5 indexed citations

16.

Khan, Atiya & Md Tabrez Nafis. (2018). Neoteric Breast Cancer through Machine Learning Algorithms. International Journal of Computer Applications. 179(49). 8–12. 1 indexed citations

17.

Nafis, Md Tabrez, et al.. (2017). The Notorious Nine: Top Cloud Computing Security Challenges in 2017. International Journal of Advanced Research in Computer Science. 8(5). 2804–2808. 2 indexed citations

18.

Nafis, Md Tabrez, et al.. (2017). Spam Mail Detection Using Hybrid Secure Hash Based Naive Classifier. International Journal of Advanced Research in Computer Science. 8(5). 1195–1199. 6 indexed citations

19.

Nafis, Md Tabrez, et al.. (2017). Preventive Measures and Incident Response for Locky Ransomware. International Journal of Advanced Research in Computer Science. 8(5). 392–395. 6 indexed citations

20.

Nafis, Md Tabrez, et al.. (2017). Classification Technique for Sentiment Analysis of Twitter Data. International Journal of Advanced Research in Computer Science. 8(5). 2551–2555.

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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