Muhammad Arshad Islam

886 total citations
69 papers, 608 citations indexed

About

Muhammad Arshad Islam is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Muhammad Arshad Islam has authored 69 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 27 papers in Information Systems and 22 papers in Artificial Intelligence. Recurrent topics in Muhammad Arshad Islam's work include Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (11 papers) and Advanced Text Analysis Techniques (8 papers). Muhammad Arshad Islam is often cited by papers focused on Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (11 papers) and Advanced Text Analysis Techniques (8 papers). Muhammad Arshad Islam collaborates with scholars based in Pakistan, China and Norway. Muhammad Arshad Islam's co-authors include Muhammad Aleem, Muhammad Azhar Iqbal, Altaf Hussain, Usman Ahmed, Nayyer Masood, Abid Khan, Abdul Samad, Rafiullah Khan, Muhammad Ibrahim and Muhammad Murtaza Yousaf and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Scientometrics.

In The Last Decade

Muhammad Arshad Islam

67 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arshad Islam Pakistan 14 336 293 192 55 48 69 608
Rong Yang China 11 165 0.5× 171 0.6× 155 0.8× 62 1.1× 16 0.3× 38 437
Maria Carla Calzarossa Italy 13 388 1.2× 496 1.7× 144 0.8× 103 1.9× 92 1.9× 54 707
Ali Harounabadi Iran 10 178 0.5× 114 0.4× 122 0.6× 11 0.2× 51 1.1× 70 357
Yongzheng Zhang China 12 183 0.5× 216 0.7× 290 1.5× 62 1.1× 108 2.3× 26 500
S. M. K. Quadri India 14 220 0.7× 80 0.3× 115 0.6× 17 0.3× 57 1.2× 73 747
Chenxi Wang China 12 203 0.6× 345 1.2× 219 1.1× 115 2.1× 150 3.1× 43 601
P. Santhi Thilagam India 19 458 1.4× 537 1.8× 385 2.0× 20 0.4× 258 5.4× 68 938
Azadeh Shakery Iran 15 446 1.3× 343 1.2× 767 4.0× 28 0.5× 191 4.0× 84 1.1k
Junho Choi South Korea 14 270 0.8× 320 1.1× 235 1.2× 7 0.1× 189 3.9× 65 708
Michele Malgeri Italy 13 118 0.4× 99 0.3× 132 0.7× 45 0.8× 10 0.2× 70 405

Countries citing papers authored by Muhammad Arshad Islam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arshad Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arshad Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arshad Islam. A scholar is included among the top collaborators of Muhammad Arshad Islam 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 Arshad Islam. Muhammad Arshad Islam 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.
Iqbal, Muhammad Azhar, et al.. (2023). A 218 GOPS neural network accelerator based on a novel cost-efficient surrogate gradient scheme for pattern classification. Microprocessors and Microsystems. 99. 104831–104831. 3 indexed citations
2.
Islam, Muhammad Arshad, et al.. (2023). Investigation of time series-based genre popularity features for box office success prediction. PeerJ Computer Science. 9. e1603–e1603. 3 indexed citations
3.
Islam, Muhammad Arshad, et al.. (2022). Exploiting time series based story plot popularity for movie success prediction. Multimedia Tools and Applications. 82(3). 3509–3534. 1 indexed citations
4.
Ullah, Mohib, Rafiullah Khan, Irfan Ullah Khan, et al.. (2022). Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital Traces. Security and Communication Networks. 2022. 1–13. 2 indexed citations
5.
Ahmed, Usman, et al.. (2020). cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing. Security and Communication Networks. 2020. 1–14. 9 indexed citations
6.
Aleem, Muhammad, et al.. (2020). TOP-Storm: A topology-based resource-aware scheduler for Stream Processing Engine. Cluster Computing. 24(1). 417–431. 11 indexed citations
7.
Khan, Rafiullah, Arshad Ahmad, Alhuseen Omar Alsayed, et al.. (2020). QuPiD Attack: Machine Learning-Based Privacy Quantification Mechanism for PIR Protocols in Health-Related Web Search. Scientific Programming. 2020. 1–11. 11 indexed citations
8.
Islam, Muhammad Arshad, et al.. (2019). Event-Dataset: Temporal information retrieval and text classification dataset. SHILAP Revista de lepidopterología. 25. 104048–104048. 1 indexed citations
9.
Aleem, Muhammad, et al.. (2019). Smart applications for diabetes management: A comprehensive survey and ranking. Health Informatics Journal. 26(2). 1133–1151. 4 indexed citations
10.
Iqbal, Muhammad Azhar, et al.. (2019). Amazon cloud computing platform EC2 and VANET simulations. International Journal of Ad Hoc and Ubiquitous Computing. 30(3). 127–127. 12 indexed citations
11.
Islam, Muhammad Arshad, et al.. (2019). Graph Centrality Based Spam SMS Detection. 19. 629–633. 13 indexed citations
12.
Iqbal, Muhammad Azhar, et al.. (2018). Content-Aware Reliable and Energy-Efficient MAC (CARE-MAC) Protocol for Wireless Body Area Networks.. Lancaster EPrints (Lancaster University). 41. 267–294. 1 indexed citations
13.
Hussain, Altaf, Muhammad Aleem, Muhammad Arshad Islam, & Muhammad Azhar Iqbal. (2018). A Rigorous Evaluation of State-of-the-Art Scheduling Algorithms for Cloud Computing. IEEE Access. 6. 75033–75047. 15 indexed citations
14.
Islam, Muhammad Arshad, et al.. (2018). Temporal specificity-based text classification for information retrieval. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 26(6). 2916–2927. 16 indexed citations
15.
Iqbal, Muhammad Azhar, et al.. (2017). COMPUTER NETWORK SIMULATION USING OMNET. 1 indexed citations
16.
Aleem, Muhammad, et al.. (2017). Analyzing adverbs impact for sentiment analysis using hadoop. 1–6. 3 indexed citations
17.
Islam, Muhammad Arshad, Muhammad Azhar Iqbal, Muhammad Aleem, & Zahid Halim. (2017). Analysing connectivity patterns and centrality metrics for opportunistic networks. 1 indexed citations
18.
Aleem, Muhammad, et al.. (2017). A Fast Implementation of Minimum Spanning Tree Method and Applying it to Kruskal’s and Prim’s Algorithms. SHILAP Revista de lepidopterología. 1(1). 58–66. 6 indexed citations
19.
Iqbal, Muhammad Azhar, et al.. (2017). A hybrid approach for spam detection for Twitter. 466–471. 50 indexed citations
20.
Islam, Muhammad Arshad & Marcel Waldvogel. (2011). Optimizing message delivery in mobile-opportunistic networks. KOPS (University of Konstanz). 134–141. 6 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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