M. Asif Naeem

1.2k total citations
80 papers, 613 citations indexed

About

M. Asif Naeem is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, M. Asif Naeem has authored 80 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 31 papers in Computer Networks and Communications and 23 papers in Signal Processing. Recurrent topics in M. Asif Naeem's work include Advanced Database Systems and Queries (22 papers), Data Management and Algorithms (18 papers) and Data Stream Mining Techniques (12 papers). M. Asif Naeem is often cited by papers focused on Advanced Database Systems and Queries (22 papers), Data Management and Algorithms (18 papers) and Data Stream Mining Techniques (12 papers). M. Asif Naeem collaborates with scholars based in New Zealand, Pakistan and United Kingdom. M. Asif Naeem's co-authors include Farhaan Mirza, Russel Pears, Gillian Dobbie, Imran Sarwar Bajwa, Minh Nguyen, Shafiq Alam, Noreen Jamil, Muhammad Aleem, Ali Tahir and Patricia Riddle and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

M. Asif Naeem

75 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Asif Naeem New Zealand 12 187 181 121 105 70 80 613
Yousef Farhaoui Morocco 15 254 1.4× 289 1.6× 161 1.3× 138 1.3× 26 0.4× 94 820
Taiseer Abdalla Elfadil Eisa Saudi Arabia 13 229 1.2× 175 1.0× 211 1.7× 95 0.9× 22 0.3× 38 719
Wael Alosaimi Saudi Arabia 15 186 1.0× 198 1.1× 194 1.6× 61 0.6× 35 0.5× 48 618
Ankur Dumka India 14 200 1.1× 175 1.0× 107 0.9× 69 0.7× 30 0.4× 93 712
Md. Sakib Bin Alam Bangladesh 8 194 1.0× 113 0.6× 65 0.5× 44 0.4× 34 0.5× 20 731
Henda Ben Ghézala Tunisia 11 214 1.1× 184 1.0× 222 1.8× 74 0.7× 29 0.4× 113 795
Pravin R. Kshirsagar India 19 185 1.0× 200 1.1× 143 1.2× 75 0.7× 18 0.3× 61 807
Abdul Quadir India 13 136 0.7× 116 0.6× 111 0.9× 38 0.4× 111 1.6× 58 570
Yongyun Cho South Korea 13 134 0.7× 113 0.6× 91 0.8× 31 0.3× 28 0.4× 81 697
Vijender Kumar Solanki India 15 127 0.7× 144 0.8× 85 0.7× 55 0.5× 27 0.4× 69 536

Countries citing papers authored by M. Asif Naeem

Since Specialization
Citations

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

Fields of papers citing papers by M. Asif Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Asif Naeem. 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 M. Asif Naeem. The network helps show where M. Asif Naeem may publish in the future.

Co-authorship network of co-authors of M. Asif Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of M. Asif Naeem. A scholar is included among the top collaborators of M. Asif Naeem 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 M. Asif Naeem. M. Asif Naeem 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.
Naeem, M. Asif, et al.. (2025). A deep learning-based model for automated STN localization using local field potentials in Parkinson’s disease. Soft Computing. 29(4). 2343–2362. 2 indexed citations
2.
3.
Mirza, Farhaan, et al.. (2024). Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR). PeerJ Computer Science. 10. e1964–e1964. 4 indexed citations
4.
Sinha, Roopak, et al.. (2023). Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review. Artificial Intelligence Review. 56(9). 10427–10464. 12 indexed citations
5.
Tahir, Ali, et al.. (2021). Wind farms selection using geospatial technologies and energy generation capacity in Gwadar. Energy Reports. 7. 5857–5870. 18 indexed citations
6.
Naeem, M. Asif, et al.. (2021). Assessing User Satisfaction of Current Enterprise Systems and Their Adaptability From the Perspective of Top Management. IEEE Access. 9. 153442–153455. 4 indexed citations
7.
Lai, Edmund, et al.. (2021). Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift. 119. 1048–1053. 1 indexed citations
8.
Tahir, Ali, et al.. (2020). Future Location Prediction for Emergency Vehicles Using Big Data: A Case Study of Healthcare Engineering. Journal of Healthcare Engineering. 2020. 1–11. 6 indexed citations
9.
Naeem, M. Asif, et al.. (2020). Reply Using Past Replies—A Deep Learning-Based E-Mail Client. Electronics. 9(9). 1353–1353. 1 indexed citations
10.
Tahir, Ali, et al.. (2020). A Survey for the Ranking of Trajectory Prediction Algorithms on Ubiquitous Wireless Sensors. Sensors. 20(22). 6495–6495. 2 indexed citations
11.
Naeem, M. Asif, et al.. (2019). Optimising HYBRIDJOIN to Process Semi-Stream Data in Near-real-time Data Warehousing. Journal of the Association for Information Systems. 27. 3 indexed citations
12.
Naeem, M. Asif, et al.. (2017). Optimization of cache-based semi-stream joins. 76–81. 3 indexed citations
13.
Mirza, Farhaan, et al.. (2017). Detecting Falls Using a Wearable Accelerometer Motion Sensor. 422–431. 3 indexed citations
14.
Naeem, M. Asif, et al.. (2017). Document level semantic comprehension of noisy text streams via convolutional neural networks. abs 1605 2688. 475–479. 2 indexed citations
15.
Jamil, Noreen, et al.. (2016). Extending linear relaxation for non-square matrices and soft constraints. Journal of Computational and Applied Mathematics. 308. 346–360. 2 indexed citations
16.
Naeem, M. Asif, et al.. (2016). Skewed distributions in semi-stream joins: How much can caching help?. Information Systems. 64. 63–74. 3 indexed citations
17.
Naeem, M. Asif, Imran Sarwar Bajwa, & Noreen Jamil. (2015). A Cached-based approach to enrich Stream data with master data. 57–62. 1 indexed citations
18.
Ramzan, Shabana, Imran Sarwar Bajwa, Ikram Ul Haq, & M. Asif Naeem. (2014). A model transformation from NL to SBVR. 220–225. 9 indexed citations
19.
Bajwa, Imran Sarwar, et al.. (2013). Processing Large Data Sets using a Cluster Computing Framework 1. 1 indexed citations
20.
Naeem, M. Asif, et al.. (2012). Optimised X-HYBRIDJOIN for near-real-time data warehousing. AUT Scholarly Commons. 124. 21–30. 4 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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