Ehsan Ullah Munir

724 total citations
41 papers, 407 citations indexed

About

Ehsan Ullah Munir is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ehsan Ullah Munir has authored 41 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Ehsan Ullah Munir's work include Mobile Ad Hoc Networks (12 papers), Energy Efficient Wireless Sensor Networks (11 papers) and Energy Harvesting in Wireless Networks (6 papers). Ehsan Ullah Munir is often cited by papers focused on Mobile Ad Hoc Networks (12 papers), Energy Efficient Wireless Sensor Networks (11 papers) and Energy Harvesting in Wireless Networks (6 papers). Ehsan Ullah Munir collaborates with scholars based in Pakistan, United Kingdom and China. Ehsan Ullah Munir's co-authors include Mussarat Yasmin, Muhammad Sharif, Muhammad Attique Khan, Saqib Iqbal, Muhammad Aslam, Hikmat Ullah Khan, Saima Gulzar Ahmad, Naeem Ramzan, Xiao Hu and M. Mustafa Rafique and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Ehsan Ullah Munir

38 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehsan Ullah Munir Pakistan	12	154	116	83	79	78	41	407
Nasmin Jiwani United States	14	100 0.6×	89 0.8×	30 0.4×	42 0.5×	71 0.9×	37	446
Saima Anwar Lashari Malaysia	10	135 0.9×	108 0.9×	25 0.3×	76 1.0×	70 0.9×	42	407
Nojood O. Aljehane Saudi Arabia	11	106 0.7×	53 0.5×	32 0.4×	80 1.0×	38 0.5×	29	318
Ketan Gupta United States	12	99 0.6×	79 0.7×	29 0.3×	37 0.5×	65 0.8×	44	417
Giridhar Reddy Bojja United States	9	109 0.7×	103 0.9×	47 0.6×	49 0.6×	24 0.3×	21	292
A. Harshavardhan India	11	112 0.7×	80 0.7×	31 0.4×	62 0.8×	55 0.7×	33	395
C. Balasubramanian India	10	69 0.4×	92 0.8×	45 0.5×	91 1.2×	45 0.6×	36	296
S. Punitha India	11	321 2.1×	41 0.4×	72 0.9×	103 1.3×	29 0.4×	42	494
Eswaran Perumal India	11	235 1.5×	93 0.8×	37 0.4×	95 1.2×	39 0.5×	36	525
A.K.M. Muzahidul Islam Bangladesh	10	175 1.1×	58 0.5×	29 0.3×	47 0.6×	22 0.3×	26	323

Countries citing papers authored by Ehsan Ullah Munir

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Ullah Munir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Ullah Munir. 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 Ehsan Ullah Munir. The network helps show where Ehsan Ullah Munir may publish in the future.

Co-authorship network of co-authors of Ehsan Ullah Munir

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Ullah Munir. A scholar is included among the top collaborators of Ehsan Ullah Munir 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 Ehsan Ullah Munir. Ehsan Ullah Munir 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

Ahmad, Saima Gulzar, et al.. (2025). Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability. International Journal of Computational Intelligence Systems. 18(1). 2 indexed citations

Ahmad, Saima Gulzar, et al.. (2025). IoT-Based Smart Wearable Belt for Tracking Fetal Kicks and Movements in Expectant Mothers. IEEE Sensors Journal. 25(14). 27322–27333. 2 indexed citations

Amin, Pradip, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, & Naeem Ramzan. (2025). Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia. International Journal of Computational Intelligence Systems. 18(1).

Munir, Ehsan Ullah, et al.. (2024). Energy-efficient time and cost constraint scheduling algorithm using improved multi-objective differential evolution in fog computing. The Journal of Supercomputing. 81(1). 4 indexed citations

Ahmad, Saima Gulzar, et al.. (2024). Predictive modelling and identification of key risk factors for stroke using machine learning. Scientific Reports. 14(1). 11498–11498. 23 indexed citations

Ahmad, Saima Gulzar, Tassawar Iqbal, Ehsan Ullah Munir, & Naeem Ramzan. (2023). Cost optimization in cloud environment based on task deadline. Journal of Cloud Computing Advances Systems and Applications. 12(1). 5 indexed citations

Hassan, Ali, et al.. (2023). EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features. VBN Forskningsportal (Aalborg Universitet). 194–199.

Munir, Ehsan Ullah, et al.. (2023). BEMD: Beacon-oriented Emergency Message Dissemination scheme for highways. Ad Hoc Networks. 142. 103095–103095. 10 indexed citations

Ahmad, Saima Gulzar, et al.. (2022). Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review. Sensors. 22(12). 4362–4362. 19 indexed citations

10.

Iqbal, Saqib, et al.. (2021). Stance detection using diverse feature sets based on machine learning techniques. Journal of Intelligent & Fuzzy Systems. 40(5). 9721–9740. 9 indexed citations

11.

Iqbal, Saqib, et al.. (2020). Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms. IEEE Access. 8. 142819–142831. 26 indexed citations

12.

Asad, Muhammad, et al.. (2019). IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing. 32(2). 133–133. 4 indexed citations

13.

Sharif, Muhammad, et al.. (2018). Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection. Journal of Ambient Intelligence and Humanized Computing. 15(1). 1063–1082. 108 indexed citations

14.

Aslam, Muhammad, et al.. (2017). Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs. 9. 1–6. 2 indexed citations

15.

Munir, Ehsan Ullah, et al.. (2015). Cross-Language Urdu-English (CLUE) Text Alignment Corpus: Notebook for PAN at CLEF 2015.. CLEF (Working Notes). 2 indexed citations

16.

Munir, Ehsan Ullah, et al.. (2014). An advanced heterogeneity-aware centralized energy efficient clustering routing protocol for wireless sensor networks. 12. 1–10. 2 indexed citations

17.

Nazir, Anam, et al.. (2013). Hierarchical Model of IEEE 802.21 Media Independent Information Service (MIIS). Research Journal of Applied Sciences Engineering and Technology. 5(22). 5142–5147. 1 indexed citations

18.

Butt, Faisal Shafique, et al.. (2013). Software Quality Assurance in Software Projects: A Study of Pakistan. Research Journal of Applied Sciences Engineering and Technology. 5(18). 4568–4575. 1 indexed citations

19.

Khan, Imran Ali, et al.. (2012). A Scalable and Minimized Butterfly Fat Tree (SMBFT) Switching Network for On-Chip Communication. Research Journal of Applied Sciences Engineering and Technology. 4(13). 1997–2002. 2 indexed citations

20.

Munir, Ehsan Ullah, et al.. (2011). Simulation and Performance Evaluation of Network on Chip Architectures and Algorithms using CINSIM. 2 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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