Daniel Asuquo

26 papers receiving 219 citations

Peers

Daniel Asuquo
Comparison fields: 5 of 62
  • Ocean Engineering 107
  • Health Informatics 5
  • Family Practice 4
  • Computer Networks and Communications 50
  • Mechanical Engineering 81
Replace Franklin Baez with:
Franklin Baez United States
Reza Asgharzadeh Shishavan United States
Paweł Majecki United Kingdom
Usman Raza Pakistan
Hui Ma China
Dean Vučinić Belgium
Yongzhuo Li China
Moussa Kafal France
Prasanna Kalansuriya Australia
H.H.J. Bloemen Netherlands
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Citations per field
00.5×10×15.8×
Franklin Baez · 1×
Citations per year

Countries citing papers authored by Daniel Asuquo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Asuquo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Asuquo, 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 Daniel Asuquo Line = papers co-authored together Daniel Asuquo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202152
3 202217
4 201910
5 20247
6 20206
7 20176
8 20235
9 20235
10 20195
11 20244
12
A Survey of Call Admission Control Schemes in Wireless Cellular Networks
20144
13 20243
14 20173
15
An Intelligent Call Admission Control Scheme for Quality of Service Provisioning in a Multi-traffic CDMA network
20133
16 20242
17 20242
18 20232
19
HMM-BASED QUALITY OF SERVICE SURVIVABILITY IN MOBILE CELLULAR NETWORKS
20171
20 20251

About Daniel Asuquo

Daniel Asuquo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Health Information Management and Ocean Engineering, having authored 30 papers that have together received 225 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (8 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Advanced Wireless Network Optimization (4 papers), Wireless Networks and Protocols (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Drilling and Well Engineering (2 papers), Artificial Intelligence in Healthcare (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Ocean Engineering (107 citations), Health Informatics (5 citations), Family Practice (4 citations), Computer Networks and Communications (50 citations) and Mechanical Engineering (81 citations). Daniel Asuquo has collaborated with scholars based in Nigeria, Canada and Uganda. Frequent co-authors include Moses E. Ekpenyong, Imo Eyoh, Udoinyang G. Inyang, Okorie Ekwe Agwu, Julius U. Akpabio, Christie Akwaowo, Faith‐Michael Uzoka, Faith‐Michael E. Uzoka, Christine Muhumuza and Justine Bukenya. Their work appears in journals such as New Review of Information Networking, Journal of Natural Gas Science and Engineering, Tropical Medicine and Infectious Disease, International Journal of Wireless Information Networks and Journal of Petroleum Science and Engineering.

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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