Prohim Tam

425 total citations
27 papers, 260 citations indexed

About

Prohim Tam is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Prohim Tam has authored 27 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Prohim Tam's work include IoT and Edge/Fog Computing (20 papers), Software-Defined Networks and 5G (13 papers) and Privacy-Preserving Technologies in Data (7 papers). Prohim Tam is often cited by papers focused on IoT and Edge/Fog Computing (20 papers), Software-Defined Networks and 5G (13 papers) and Privacy-Preserving Technologies in Data (7 papers). Prohim Tam collaborates with scholars based in South Korea, Cambodia and United States. Prohim Tam's co-authors include Seokhoon Kim, Ahyoung Lee and Gichun Cha and has published in prestigious journals such as IEEE Access, Applied Sciences and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Prohim Tam

26 papers receiving 247 citations

Peers

Prohim Tam

CNC

EEE

CVPR

Miquel Ferriol-Galmés China

Lanfranco Zanzi Spain

Youssef Baddi Morocco

Li‐Ping Tung Taiwan

Lizhuang Tan China

Divya Gupta India

Aamir Akbar Pakistan

Jordi Paillissé Spain

Jiaxiang Lin China

Raed Alsaqour Saudi Arabia

Miquel Ferriol-Galmés China

Prohim Tam

187 ×1.1

CNC

61 ×0.7

70 ×0.9

EEE

28 ×0.8

21 ×1.2

CVPR

Citations per year, relative to Prohim Tam Prohim Tam (= 1×) peers Miquel Ferriol-Galmés

Countries citing papers authored by Prohim Tam

Since Specialization

Citations

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

Fields of papers citing papers by Prohim Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prohim Tam

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

Tam, Prohim, et al.. (2025). Priority-Aware Resource Allocation for VNF Deployment in Service Function Chains Based on Graph Reinforcement Learning. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 1649–1665. 2 indexed citations

Tam, Prohim, et al.. (2024). Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance. Electronics. 13(13). 2552–2552. 4 indexed citations

Tam, Prohim, et al.. (2024). Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT. Electronics. 13(7). 1218–1218. 6 indexed citations

Tam, Prohim, et al.. (2024). QoS-Driven Slicing Management for Vehicular Communications. Electronics. 13(2). 314–314. 6 indexed citations

Tam, Prohim, et al.. (2024). A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches. Electronics. 13(5). 994–994. 15 indexed citations

Tam, Prohim & Seokhoon Kim. (2024). Graph-Based Learning in Core and Edge Virtualized O-RAN for Handling Real-Time AI Workloads. IEEE Transactions on Network Science and Engineering. 12(1). 302–318. 3 indexed citations

Tam, Prohim, et al.. (2023). DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency. Electronics. 12(13). 2984–2984. 12 indexed citations

Tam, Prohim, et al.. (2023). Enhancing QoS with LSTM-Based Prediction for Congestion-Aware Aggregation Scheduling in Edge Federated Learning. Electronics. 12(17). 3615–3615. 4 indexed citations

Tam, Prohim, et al.. (2023). Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications. Applied Sciences. 13(5). 3083–3083. 34 indexed citations

10.

Tam, Prohim, et al.. (2023). Large-Scale Service Function Chaining Management and Orchestration in Smart City. Electronics. 12(19). 4018–4018. 4 indexed citations

11.

Tam, Prohim, et al.. (2023). Real-Time Prediction Algorithm for Intelligent Edge Networks with Federated Learning-Based Modeling. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 1967–1983. 5 indexed citations

12.

Tam, Prohim, et al.. (2022). Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services. Scientific Programming. 2022. 1–11. 2 indexed citations

13.

Tam, Prohim, et al.. (2022). Optimized Multi-Service Tasks Offloading for Federated Learning in Edge Virtualization. IEEE Transactions on Network Science and Engineering. 9(6). 4363–4378. 22 indexed citations

14.

Tam, Prohim, et al.. (2022). Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications. Electronics. 11(20). 3371–3371. 22 indexed citations

15.

Tam, Prohim, et al.. (2022). Intelligent Resource Allocations for Software-Defined Mission-Critical IoT燬ervices. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 4087–4102. 2 indexed citations

16.

Tam, Prohim, et al.. (2021). Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks. Journal of Internet Computing and services. 22(5). 27–33. 1 indexed citations

17.

Tam, Prohim, et al.. (2021). Intelligent Real-Time IoT Traffic Steering in 5G Edge Networks. Computers, materials & continua/Computers, materials & continua (Print). 67(3). 3433–3450. 3 indexed citations

18.

Tam, Prohim, et al.. (2021). Intelligent Media Forensics and Traffic Handling Scheme in 5G Edge Networks. Security and Communication Networks. 2021. 1–11. 5 indexed citations

19.

Tam, Prohim, et al.. (2021). Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT. Computers, materials & continua/Computers, materials & continua (Print). 71(2). 3319–3335. 15 indexed citations

20.

Tam, Prohim, et al.. (2020). A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing. Personal and Ubiquitous Computing. 27(3). 1065–1075. 4 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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