Muddasar Naeem

1.1k total citations · 1 hit paper
27 papers, 598 citations indexed

About

Muddasar Naeem is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Muddasar Naeem has authored 27 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Muddasar Naeem's work include Advanced MIMO Systems Optimization (7 papers), Machine Learning in Healthcare (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Muddasar Naeem is often cited by papers focused on Advanced MIMO Systems Optimization (7 papers), Machine Learning in Healthcare (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Muddasar Naeem collaborates with scholars based in Italy, Pakistan and Netherlands. Muddasar Naeem's co-authors include Antonio Coronato, Giuseppe De Pietro, Giovanni Paragliola, Syed Tahir Hussain Rizvi, Zaib Ullah, Patrizia Ribino, Fabrizio Stasolla, Sajid Bashir, Stefano Silvestri and Mario Ciampi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Muddasar Naeem

25 papers receiving 576 citations

Hit Papers

align trajectories

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.

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

2024 42 citations Muddasar Naeem, Fabrizio Stasolla et al. International Journal of General Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muddasar Naeem Italy	12	221	91	83	59	59	27	598
Giovanni Paragliola Italy	12	238 1.1×	66 0.7×	33 0.4×	28 0.5×	60 1.0×	35	520
Bin Qian China	7	327 1.5×	121 1.3×	51 0.6×	80 1.4×	34 0.6×	15	725
Homa Alemzadeh United States	13	148 0.7×	116 1.3×	74 0.9×	82 1.4×	18 0.3×	52	713
Samina Kausar Pakistan	13	206 0.9×	77 0.8×	41 0.5×	86 1.5×	47 0.8×	61	577
Hamid Mcheick Canada	14	159 0.7×	179 2.0×	81 1.0×	172 2.9×	46 0.8×	106	680
Muhannad A. Abu‐Hashem Saudi Arabia	7	181 0.8×	63 0.7×	60 0.7×	60 1.0×	79 1.3×	19	558
Haya Elayan United Arab Emirates	7	162 0.7×	151 1.7×	54 0.7×	96 1.6×	33 0.6×	8	484
Hadeel Alsolai Saudi Arabia	12	199 0.9×	81 0.9×	53 0.6×	106 1.8×	105 1.8×	32	604
Tariq Shahzad Pakistan	17	218 1.0×	197 2.2×	104 1.3×	168 2.8×	75 1.3×	74	799
Syed Thouheed Ahmed India	13	194 0.9×	95 1.0×	44 0.5×	85 1.4×	64 1.1×	59	539

Countries citing papers authored by Muddasar Naeem

Since Specialization

Citations

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

Fields of papers citing papers by Muddasar Naeem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muddasar Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of Muddasar Naeem. A scholar is included among the top collaborators of Muddasar 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 Muddasar Naeem. Muddasar Naeem 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

Fiorino, Mario Di, Muddasar Naeem, Mario Ciampi, & Antonio Coronato. (2024). Defining a Metric-Driven Approach for Learning Hazardous Situations. SHILAP Revista de lepidopterología. 12(7). 103–103. 2 indexed citations

Rizvi, Syed Tahir Hussain, et al.. (2024). Enhancing Diagnostic Accuracy for Skin Cancer and COVID-19 Detection: A Comparative Study Using a Stacked Ensemble Method. SHILAP Revista de lepidopterología. 12(9). 142–142. 2 indexed citations

Ullah, Zaib, et al.. (2024). A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks. Future Internet. 16(5). 152–152. 2 indexed citations

Naeem, Muddasar, et al.. (2024). Advancing Patient Care with an Intelligent and Personalized Medication Engagement System. Information. 15(10). 609–609. 3 indexed citations

Naeem, Muddasar, et al.. (2024). Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends. International Journal of General Medicine. Volume 17. 943–969. 42 indexed citations breakdown →

Naeem, Muddasar, Mario Di Fiorino, Pia Addabbo, & Antonio Coronato. (2024). Integrating Artificial Intelligence Techniques in Cell Mechanics. SHILAP Revista de lepidopterología. 41. 111–116.

Naeem, Muddasar, et al.. (2024). Enhancing Text Classification Using BERT: A Transfer Learning Approach. Computación y Sistemas. 28(4). 2 indexed citations

Ullah, Zaib, Muddasar Naeem, Antonio Coronato, Patrizia Ribino, & Giuseppe De Pietro. (2023). Blockchain Applications in Sustainable Smart Cities. Sustainable Cities and Society. 97. 104697–104697. 55 indexed citations

Naeem, Muddasar, et al.. (2023). An AI-empowered infrastructure for risk prevention during medical examination. Expert Systems with Applications. 225. 120048–120048. 11 indexed citations

10.

Naeem, Muddasar, Antonio Coronato, Zaib Ullah, Sajid Bashir, & Giovanni Paragliola. (2022). Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning. Sensors. 22(21). 8278–8278. 8 indexed citations

11.

Coronato, Antonio, et al.. (2022). Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning. IEEE Access. 10. 78148–78158. 13 indexed citations

12.

Ciampi, Mario, Antonio Coronato, Muddasar Naeem, & Stefano Silvestri. (2022). An intelligent environment for preventing medication errors in home treatment. Expert Systems with Applications. 193. 116434–116434. 14 indexed citations

13.

Naeem, Muddasar & Antonio Coronato. (2022). An AI-Empowered Home-Infrastructure to Minimize Medication Errors. Journal of Sensor and Actuator Networks. 11(1). 13–13. 11 indexed citations

14.

Naeem, Muddasar, Giuseppe De Pietro, & Antonio Coronato. (2021). Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors. 22(1). 309–309. 27 indexed citations

15.

Naeem, Muddasar, Syed Tahir Hussain Rizvi, & Antonio Coronato. (2020). A Gentle Introduction to Reinforcement Learning and its Application in Different Fields. IEEE Access. 8. 209320–209344. 131 indexed citations

16.

Coronato, Antonio, Muddasar Naeem, Giuseppe De Pietro, & Giovanni Paragliola. (2020). Reinforcement learning for intelligent healthcare applications: A survey. Artificial Intelligence in Medicine. 109. 101964–101964. 182 indexed citations

17.

Paragliola, Giovanni & Muddasar Naeem. (2019). Risk management for nuclear medical department using reinforcement learning algorithms. Journal of Reliable Intelligent Environments. 5(2). 105–113. 12 indexed citations

18.

Naeem, Muddasar, Antonio Coronato, & Giovanni Paragliola. (2019). Adaptive Treatment Assisting System for Patients Using Machine Learning. 460–465. 12 indexed citations

19.

Naeem, Muddasar, et al.. (2019). A Near Optimal Scheduling Algorithm for Efficient Radio Resource Management in Multi-user MIMO Systems. Wireless Personal Communications. 106(3). 1411–1427. 10 indexed citations

20.

Naeem, Muddasar, et al.. (2016). Performance comparison of scheduling algorithms for MU-MIMO systems. 5 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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