Alfred Daniel

879 citations
55 papers · 592 · h-index 13

Impact in

Papers in

Alfred Daniel

52 papers receiving 561 citations

Peers

Alfred Daniel
Comparison fields: 5 of 86
  • Computer Networks and Communications 174
  • Building and Construction 89
  • Automotive Engineering 67
  • Computer Vision and Pattern Recognition 93
  • Transportation 27
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Fatma Outay United Arab Emirates
Kongyang Chen China
Huyin Zhang China
Matteo Petracca Italy
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Guangwei Bai China
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Do Hyeun Kim South Korea
Hariprasath Manoharan Saudi Arabia
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Citations per year

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-authors

The 25 scholars most cited alongside Alfred Daniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alfred Daniel Line = papers co-authored together Alfred Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 201557
3 202353
4 201738
5
Intelligent Vehicular Networks and Communications: Fundamentals, Architectures and Solutions
201627
6 202323
7 200822
8 202218
9 201618
10 201517
11 201615
12 201813
13 202312
14 202311
15 202111
16 201511
17 201411
18 202310
19 20238
20 20216

About Alfred Daniel

Alfred Daniel is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 592 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (11 papers), IoT and Edge/Fog Computing (10 papers), Traffic Prediction and Management Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Blockchain Technology Applications and Security (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Computer Networks and Communications (174 citations), Building and Construction (89 citations), Automotive Engineering (67 citations), Computer Vision and Pattern Recognition (93 citations) and Transportation (27 citations). Alfred Daniel has collaborated with scholars based in India, South Korea and China. Frequent co-authors include Anand Paul, Seungmin Rho, Awais Ahmad, C. B. Sivaparthipan, BalaAnand Muthu, Carlos Montenegro, M. Mazhar Rathore, Naveen Chilamkurti, R. Santhosh and S. Iniyan. Their work appears in journals such as Journal of Combinatorial Optimization, Wireless Personal Communications, Electronics, Biological Invasions and IEEE Systems Journal.

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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