Othman Mohd

939 total citations · 1 hit paper
24 papers, 640 citations indexed

About

Othman Mohd is a scholar working on Computer Networks and Communications, Information Systems and Media Technology. According to data from OpenAlex, Othman Mohd has authored 24 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Information Systems and 4 papers in Media Technology. Recurrent topics in Othman Mohd's work include IoT and Edge/Fog Computing (5 papers), Remote-Sensing Image Classification (4 papers) and IoT Networks and Protocols (3 papers). Othman Mohd is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Remote-Sensing Image Classification (4 papers) and IoT Networks and Protocols (3 papers). Othman Mohd collaborates with scholars based in Malaysia, Indonesia and Iraq. Othman Mohd's co-authors include Ammar Awad Mutlag, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, N. Arunkumar, Karrar Hameed Abdulkareem, Nanna Suryana, Gonçalo Marques, Salama A. Mostafa, Mashael Maashi and Isabel de la Torre Díez and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Applied Sciences.

In The Last Decade

Othman Mohd

23 papers receiving 607 citations

Hit Papers

Enabling technologies for fog computing in healthcare IoT... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Othman Mohd Malaysia 9 438 233 145 83 76 24 640
Amit Kishor India 10 252 0.6× 157 0.7× 79 0.5× 151 1.8× 68 0.9× 16 600
Ravi Tomar India 12 159 0.4× 136 0.6× 126 0.9× 103 1.2× 75 1.0× 58 550
David Palma Norway 14 523 1.2× 131 0.6× 128 0.9× 68 0.8× 232 3.1× 46 815
Paulo Roberto de Lira Gondim Brazil 14 310 0.7× 137 0.6× 52 0.4× 62 0.7× 209 2.8× 42 544
P. Prabu India 17 123 0.3× 101 0.4× 173 1.2× 159 1.9× 83 1.1× 46 686
Sayed Chhattan Shah South Korea 14 390 0.9× 138 0.6× 59 0.4× 87 1.0× 205 2.7× 44 608
Mohammad Khalid Imam Rahmani Saudi Arabia 13 137 0.3× 91 0.4× 77 0.5× 152 1.8× 85 1.1× 55 529
Xunli Fan China 8 234 0.5× 157 0.7× 108 0.7× 102 1.2× 82 1.1× 28 532
Ahmed Ibrahim Australia 12 336 0.8× 227 1.0× 83 0.6× 154 1.9× 68 0.9× 40 616
K. R. Venugopal India 14 445 1.0× 203 0.9× 96 0.7× 269 3.2× 167 2.2× 187 881

Countries citing papers authored by Othman Mohd

Since Specialization
Citations

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

Fields of papers citing papers by Othman Mohd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Othman Mohd

This figure shows the co-authorship network connecting the top 25 collaborators of Othman Mohd. A scholar is included among the top collaborators of Othman Mohd 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 Othman Mohd. Othman Mohd 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.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Othman Mohd, et al.. (2023). A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications. Physical Communication. 59. 102109–102109. 19 indexed citations
2.
Saeed, M. A., et al.. (2023). Optimal Land-cover Classification Feature Selection in Arid Areas based on Sentinel-2 Imagery and Spectral Indices. International Journal of Advanced Computer Science and Applications. 14(3). 1 indexed citations
3.
Yusof, Robiah, et al.. (2023). IOT Based Integrated COVID-19 Self-Monitoring Tool (COV-SMT) for Quarantine. International Journal of Interactive Mobile Technologies (iJIM). 17(9). 141–149. 3 indexed citations
4.
Mohd, Othman, et al.. (2023). Constructing and Optimizing an Evaluation Model for the Implementation of Electronic Voting: An Indonesian Case Study. Mathematical Modelling and Engineering Problems. 10(4). 2 indexed citations
5.
Abdollah, Mohd Faizal, et al.. (2022). RENTAKA: A Novel Machine Learning Framework for Crypto-Ransomware Pre-encryption Detection. International Journal of Advanced Computer Science and Applications. 13(5). 8 indexed citations
6.
Mohd, Othman, et al.. (2022). E-Voting: Technology Requirements Mapping. TEM Journal. 1282–1290. 3 indexed citations
7.
Mohd, Othman, et al.. (2021). Cohen’s Kappa Agreement among Multiple Raters in Determining Factors that Influence MTUN Academics on Data Sharing. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(6). 3766–3771. 1 indexed citations
8.
Mohd, Othman, et al.. (2021). Weights-Based Energy-Efficient Wireless Sensor Network Protocol with Firefly Synchronization for Illegal Logging. International journal of intelligent engineering and systems. 14(3). 374–387. 4 indexed citations
9.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, et al.. (2021). Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring. Sensors. 21(20). 6923–6923. 39 indexed citations
10.
Mohd, Othman, et al.. (2021). Assessing Data Sharing's Model Fitness Towards Open Data by using Pooled CFA. International Journal of Advanced Computer Science and Applications. 12(5). 1 indexed citations
11.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, et al.. (2020). MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management. Sensors. 20(7). 1853–1853. 78 indexed citations
12.
Suryana, Nanna, et al.. (2020). WSN nodes power consumption using multihop routing protocol for illegal cutting forest. TELKOMNIKA (Telecommunication Computing Electronics and Control). 18(3). 1529–1529. 6 indexed citations
13.
Suryana, Nanna, et al.. (2020). Using Long-Range Wireless Sensor Network to Track the Illegal Cutting Log. Applied Sciences. 10(19). 6992–6992. 11 indexed citations
14.
Suryana, Nanna, et al.. (2019). Precision agriculture classification using convolutional neural networks for paddy growth level. Journal of Physics Conference Series. 1193. 12026–12026. 6 indexed citations
16.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, N. Arunkumar, Mazin Abed Mohammed, & Othman Mohd. (2018). Enabling technologies for fog computing in healthcare IoT systems. Future Generation Computer Systems. 90. 62–78. 391 indexed citations breakdown →
17.
Abdollah, Mohd Faizal, et al.. (2017). The Rise of Ransomware. 66–70. 17 indexed citations
18.
Ahmad, Asmala, et al.. (2015). Quantifying haze from satellite using haze optimized transformation (HOT). Applied Mathematical Sciences. 9. 1407–1416. 5 indexed citations
19.
Mohd, Othman, et al.. (2014). THE EFFECTS OF PIXEL AGGREGATION ON THE RADIOMETRIC PROPERTIES OF LANDSAT-8 SATELLITE IMAGERY.
20.
Mohd, Othman, et al.. (2012). Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis. International Journal of Agriculture and Forestry. 2(6). 300–306. 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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