Alfred Daniel

942 total citations
46 papers, 557 citations indexed

About

Alfred Daniel is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Alfred Daniel has authored 46 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Alfred Daniel's work include IoT and Edge/Fog Computing (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Alfred Daniel is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Alfred Daniel collaborates with scholars based in India, South Korea and China. Alfred Daniel's co-authors include Anand Paul, Seungmin Rho, Awais Ahmad, BalaAnand Muthu, C. B. Sivaparthipan, Carlos Montenegro, R. Santhosh, M. Mazhar Rathore, Naveen Chilamkurti and P. Punitha and has published in prestigious journals such as Energy Policy, Biological Invasions and Multimedia Tools and Applications.

In The Last Decade

Alfred Daniel

44 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfred Daniel India 12 169 145 121 94 88 46 557
Susanna Pirttikangas Finland 13 115 0.7× 177 1.2× 135 1.1× 81 0.9× 167 1.9× 71 607
Hariprasath Manoharan Saudi Arabia 16 194 1.1× 202 1.4× 163 1.3× 75 0.8× 126 1.4× 88 736
Huyin Zhang China 12 129 0.8× 229 1.6× 177 1.5× 116 1.2× 61 0.7× 74 604
Yongyun Cho South Korea 13 125 0.7× 113 0.8× 134 1.1× 53 0.6× 91 1.0× 81 697
Do Hyeun Kim South Korea 15 159 0.9× 131 0.9× 93 0.8× 56 0.6× 88 1.0× 47 572
Alexey V. Shvetsov Russia 15 257 1.5× 191 1.3× 83 0.7× 107 1.1× 124 1.4× 51 809
Sangsoon Lim South Korea 14 195 1.2× 335 2.3× 119 1.0× 79 0.8× 140 1.6× 60 680
Vijender Kumar Solanki India 15 113 0.7× 144 1.0× 127 1.0× 59 0.6× 85 1.0× 69 536
Young-Guk Ha South Korea 12 103 0.6× 127 0.9× 117 1.0× 182 1.9× 93 1.1× 60 519
Hanan Abdullah Mengash Saudi Arabia 13 72 0.4× 141 1.0× 239 2.0× 187 2.0× 97 1.1× 66 868

Countries citing papers authored by Alfred Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Alfred Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfred Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Alfred Daniel. A scholar is included among the top collaborators of Alfred Daniel 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 Alfred Daniel. Alfred Daniel 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.
Daniel, Alfred, et al.. (2024). AI-Driven IoT Framework for Optimal Energy Management in Consumer Devices. 746–751. 5 indexed citations
2.
Daniel, Alfred, et al.. (2024). Heuristic machine learning approaches for identifying phishing threats across web and email platforms. Frontiers in Artificial Intelligence. 7. 1414122–1414122. 1 indexed citations
3.
Daniel, Alfred, et al.. (2023). Monitoring and Analysis of Students’ Live Behaviour using Machine Learning. 98–103. 2 indexed citations
4.
Daniel, Alfred, et al.. (2023). Internet of Things Enabled ML for Air Quality Assessment: Systematic Review. 1509–1514. 3 indexed citations
5.
Daniel, Alfred, et al.. (2023). Millimeter assisted wave technologies in 6G assisted wireless communication systems: a new paradigm for 6G collaborative learning. Wireless Networks. 30(6). 5723–5742. 11 indexed citations
6.
Muthu, BalaAnand, et al.. (2023). Factors determining customers desire to analyse supply chain management in intelligent IoT. Journal of Combinatorial Optimization. 45(2). 9 indexed citations
7.
Daniel, Alfred, et al.. (2023). Fully convolutional neural networks for LIDAR–camera fusion for pedestrian detection in autonomous vehicle. Multimedia Tools and Applications. 82(16). 25107–25130. 46 indexed citations
8.
Daniel, Alfred, et al.. (2023). IoT-Enabled Chlorine Level Assessment and Prediction in Water Monitoring System Using Machine Learning. Electronics. 12(6). 1458–1458. 17 indexed citations
9.
Ali, Mohammed Hasan, et al.. (2023). Autonomous vehicles decision-making enhancement using self-determination theory and mixed-precision neural networks. Multimedia Tools and Applications. 84(29). 35263–35286. 21 indexed citations
10.
11.
Daniel, Alfred, et al.. (2022). Blockchain Technologies: Smart Contracts for Consumer Electronics Data Sharing and Secure Payment. Electronics. 12(1). 208–208. 16 indexed citations
12.
Daniel, Alfred, et al.. (2022). Deep Learning Approach for Emotion Recognition Analysis in Text Streams. International Journal of Technology and Human Interaction. 18(2). 1–21. 2 indexed citations
13.
Daniel, Alfred, et al.. (2022). Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface. International Journal of Information Systems and Supply Chain Management. 15(4). 1–15. 2 indexed citations
14.
Chen, Xuemei, et al.. (2021). The Supervised Learning Model for Analyzing the Sportsperson Training Efficiency. Journal of Interconnection Networks. 22(Supp01). 2 indexed citations
15.
Daniel, Alfred, et al.. (2020). Revamping land coverage analysis using aerial satellite image mapping. Transactions on Emerging Telecommunications Technologies. 32(7). 16 indexed citations
16.
Daniel, Alfred, et al.. (2017). Big autonomous vehicular data classifications: Towards procuring intelligence in ITS. Vehicular Communications. 9. 306–312. 32 indexed citations
17.
Paul, Anand, Naveen Chilamkurti, Alfred Daniel, & Seungmin Rho. (2016). Intelligent Vehicular Networks and Communications: Fundamentals, Architectures and Solutions. CERN Document Server (European Organization for Nuclear Research). 24 indexed citations
18.
Daniel, Alfred, Anand Paul, & Awais Ahmad. (2015). Near real-time big data analysis on vehicular networks. 1–7. 8 indexed citations
19.
Daniel, Alfred, Anand Paul, Awais Ahmad, & Seungmin Rho. (2015). Cooperative Intelligence of Vehicles for Intelligent Transportation Systems (ITS). Wireless Personal Communications. 87(2). 461–484. 53 indexed citations
20.
Daniel, Alfred, Maria Dicorato, Giuseppe Forte, S. Iniyan, & M. Trovato. (2008). A methodology for the electrical energy system planning of Tamil Nadu state (India). Energy Policy. 37(3). 904–914. 22 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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