Muhammad Akram

437 total citations
24 papers, 287 citations indexed

About

Muhammad Akram is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Muhammad Akram has authored 24 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Management Science and Operations Research and 3 papers in Signal Processing. Recurrent topics in Muhammad Akram's work include Multi-Criteria Decision Making (4 papers), Security in Wireless Sensor Networks (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Muhammad Akram is often cited by papers focused on Multi-Criteria Decision Making (4 papers), Security in Wireless Sensor Networks (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Muhammad Akram collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Muhammad Akram's co-authors include Jaehoon Jeong, Syed Attique Shah, Jitae Shin, Hafız Muhammad Ali, Tae Ho Cho, Muhammad Asif Habib, Muhammad Sheraz Arshad Malik, Muhammad Awais, Saadat Hanif Dar and Toqeer Mahmood and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Muhammad Akram

21 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Akram Pakistan	8	86	62	62	35	31	24	287
Siyu Jiang China	11	48 0.6×	56 0.9×	89 1.4×	13 0.4×	30 1.0×	25	381
Vrince Vimal India	12	79 0.9×	83 1.3×	131 2.1×	12 0.3×	7 0.2×	44	421
Haonan Wang China	8	59 0.7×	97 1.6×	89 1.4×	14 0.4×	10 0.3×	25	361
Junzo Watada Malaysia	10	200 2.3×	21 0.3×	84 1.4×	13 0.4×	45 1.5×	23	417
Yaoxin Wu China	12	73 0.8×	63 1.0×	129 2.1×	11 0.3×	10 0.3×	37	492
Sara Vinco Italy	12	153 1.8×	71 1.1×	42 0.7×	35 1.0×	35 1.1×	74	438
B. Nagaraj India	13	88 1.0×	68 1.1×	100 1.6×	8 0.2×	13 0.4×	41	442
Li Shi China	9	47 0.5×	103 1.7×	67 1.1×	14 0.4×	51 1.6×	27	550
Bernd Waschneck Germany	6	29 0.3×	43 0.7×	71 1.1×	22 0.6×	12 0.4×	16	514
Esteban Jove Spain	13	114 1.3×	65 1.0×	133 2.1×	15 0.4×	32 1.0×	47	355

Countries citing papers authored by Muhammad Akram

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Akram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Akram

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

Akram, Muhammad, et al.. (2025). Optimizing renewable transportation framework by an extended spherical fuzzy rough multi-criteria group decision making method. Applied Soft Computing. 183. 113599–113599. 1 indexed citations

Akram, Muhammad, et al.. (2025). An outranking approach for selecting the best warehouse location in Konya using spherical fuzzy rough numbers. Journal of Applied Mathematics and Computing. 72(1).

Akram, Muhammad, et al.. (2025). An integrated outranking approach for selecting the best waste water treatment process with spherical fuzzy rough numbers. Engineering Applications of Artificial Intelligence. 144. 110115–110115. 3 indexed citations

Akram, Muhammad, Sibghat Ullah Bazai, Qazi Mudassar Ilyas, et al.. (2025). EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks. IEEE Access. 13. 70849–70871. 3 indexed citations

Akram, Muhammad, et al.. (2024). An outranking method for selecting the best gate security system using spherical fuzzy rough numbers. Engineering Applications of Artificial Intelligence. 138. 109411–109411. 9 indexed citations

Akram, Muhammad, et al.. (2024). Embedded DNN Classifier for Five Different Cardiac Diseases. Ulster University Research Portal (Ulster University). 1–6.

Akram, Muhammad, et al.. (2024). Group decision making method for site selection of car sharing stations in Istanbul using spherical fuzzy rough numbers. Applied Soft Computing. 169. 112607–112607. 6 indexed citations

Akram, Muhammad, et al.. (2022). A Novel Hybrid MPPT Technique Based on Harris Hawk Optimization (HHO) and Perturb and Observer (P&O) under Partial and Complex Partial Shading Conditions. Energies. 15(15). 5550–5550. 24 indexed citations

Khan, Muhammad Naeem Ahmed, et al.. (2022). Automating Test Case Generation for Android Applications using Model-based Testing. SHILAP Revista de lepidopterología. 63–82. 1 indexed citations

10.

Shah, Syed Attique, et al.. (2021). A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks. Vehicular Communications. 34. 100420–100420. 58 indexed citations

11.

Akram, Muhammad, Aamir Hussain, Muhammad Azam Zia, et al.. (2021). Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning. Complexity. 2021(1). 4 indexed citations

12.

Khan, Muhammad Naeem Ahmed, et al.. (2021). ContextDrive: Towards a Functional Scenario-Based Testing Framework for Context-Aware Applications. IEEE Access. 9. 80478–80490. 1 indexed citations

13.

Khan, Azmatullah, et al.. (2021). Removal of Hazardous Materials from Residential and Commercial Liquid Waste Using Solid Sorbents. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(1). 47–47. 1 indexed citations

14.

Akram, Muhammad, et al.. (2020). IoT Enabled Air Quality Monitoring for Health-Aware Commuting Recommendation in Smart Cities. International Journal of Advanced Computer Science and Applications. 11(6). 2 indexed citations

15.

Ashraf, Rehan, Muhammad Asif Habib, Muhammad Akram, et al.. (2020). Deep Convolution Neural Network for Big Data Medical Image Classification. IEEE Access. 8. 105659–105670. 63 indexed citations

16.

Akram, Muhammad, et al.. (2019). Vibration Based Gear Fault Diagnosis under Empirical Mode Decomposition and Power Spectrum Density Analysis. SHILAP Revista de lepidopterología. 13(3). 192–200. 7 indexed citations

17.

Ali, Hafız Muhammad, et al.. (2019). Thermal applications of hybrid phase change materials: A critical review. Thermal Science. 24(3 Part B). 2151–2169. 27 indexed citations

18.

Akram, Muhammad & Tae Ho Cho. (2017). Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks. Symmetry. 9(10). 220–220. 1 indexed citations

19.

Akram, Muhammad & Tae Ho Cho. (2016). Energy efficient fuzzy adaptive selection of verification nodes in wireless sensor networks. Ad Hoc Networks. 47. 16–25. 13 indexed citations

20.

Akram, Muhammad. (2013). Analysis of Packet Loss and Latency Control for Robust IPTV over Mobile WiMAX and LTE Assessment. International Journal of Engineering. 26(3(C)). 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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