Moses E. Ekpenyong

122 total papers · 556 total citations
51 papers, 270 citations indexed

About

Moses E. Ekpenyong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Moses E. Ekpenyong has authored 51 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Moses E. Ekpenyong's work include Wireless Communication Networks Research (17 papers), Advanced Wireless Network Optimization (8 papers) and IPv6, Mobility, Handover, Networks, Security (7 papers). Moses E. Ekpenyong is often cited by papers focused on Wireless Communication Networks Research (17 papers), Advanced Wireless Network Optimization (8 papers) and IPv6, Mobility, Handover, Networks, Security (7 papers). Moses E. Ekpenyong collaborates with scholars based in Nigeria, Canada and United Kingdom. Moses E. Ekpenyong's co-authors include Udoinyang G. Inyang, Imo Eyoh, Okorie Ekwe Agwu, Julius U. Akpabio, Joseph Isabona, Junichi Yamagishi, Simon King, Oliver Watts, Dafydd Gibbon and Nkem Ogbonna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers & Industrial Engineering.

In The Last Decade

Moses E. Ekpenyong

45 papers receiving 259 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Moses E. Ekpenyong 97 77 52 48 48 51 270
Umesh Chandra 38 0.4× 79 1.0× 24 0.5× 15 0.3× 17 0.4× 45 252
Xiaobing Hu 24 0.2× 31 0.4× 21 0.4× 22 0.5× 31 0.6× 47 264
Peilin Zhang 43 0.4× 43 0.6× 104 2.0× 43 0.9× 155 3.2× 40 320
Yi Zhang 37 0.4× 35 0.5× 35 0.7× 44 0.9× 112 2.3× 38 282
Liu Yang 34 0.4× 41 0.5× 26 0.5× 19 0.4× 167 3.5× 47 305
Xavier Besseron 32 0.3× 69 0.9× 104 2.0× 11 0.2× 12 0.3× 38 292
Venkatesh Raghavan 24 0.2× 28 0.4× 107 2.1× 37 0.8× 9 0.2× 43 266
Hao Sun 20 0.2× 50 0.6× 25 0.5× 45 0.9× 33 0.7× 50 305
Yifeng Zhu 23 0.2× 25 0.3× 47 0.9× 29 0.6× 74 1.5× 31 251
Carlos Sotelo 48 0.5× 56 0.7× 12 0.2× 47 1.0× 40 0.8× 28 283

Countries citing papers authored by Moses E. Ekpenyong

Since Specialization
Citations

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

Fields of papers citing papers by Moses E. Ekpenyong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moses E. Ekpenyong. 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 Moses E. Ekpenyong. The network helps show where Moses E. Ekpenyong may publish in the future.

Co-authorship network of co-authors of Moses E. Ekpenyong

This figure shows the co-authorship network connecting the top 25 collaborators of Moses E. Ekpenyong. A scholar is included among the top collaborators of Moses E. Ekpenyong 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 Moses E. Ekpenyong. Moses E. Ekpenyong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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