Moses Garuba

929 citations
39 papers · 614 · h-index 11

Impact in

Papers in

    • Network Security and Intrusion Detection 7
    • Distributed systems and fault tolerance 6
    • Caching and Content Delivery 3
    • Advanced Data Storage Technologies 3
    • Blockchain Technology Applications and Security 7
    • Cloud Data Security Solutions 6
    • Cloud Computing and Resource Management 4

Moses Garuba

35 papers receiving 562 citations

Peers

Moses Garuba
Comparison fields: 5 of 76
  • Computer Networks and Communications 318
  • Signal Processing 101
  • Information Systems 181
  • Artificial Intelligence 235
  • Control and Systems Engineering 102
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Vijey Thayananthan Saudi Arabia
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Moses Garuba relative to Jung Taek Seo South Korea Jung Taek Seo's profile →
Citations per field
00.5×1.5×1.8×
Jung Taek Seo · 1×
Citations per year

Countries citing papers authored by Moses Garuba

Since Specialization
Citations

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

Fields of papers citing papers by Moses Garuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Moses Garuba, 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 Moses Garuba Line = papers co-authored together Moses Garuba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 2019114
3 200542
4 201541
5 200739
6 200837
7 201826
8 201925
9 201722
10 201917
11 202016
12 20089
13 20209
14 20148
15 20078
16 20087
17 20176
18 20156
19 20035
20 20045

About Moses Garuba

Moses Garuba is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 614 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Network Security and Intrusion Detection (7 papers), Distributed systems and fault tolerance (6 papers), Cloud Data Security Solutions (6 papers), Advanced Malware Detection Techniques (5 papers), Cloud Computing and Resource Management (4 papers), Caching and Content Delivery (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (318 citations), Signal Processing (101 citations), Information Systems (181 citations), Artificial Intelligence (235 citations) and Control and Systems Engineering (102 citations). Moses Garuba has collaborated with scholars based in United States, France and India. Frequent co-authors include Danda B. Rawat, Ronald Doku, Chunmei Liu, Legand Burge, Li Jiang, A. Rubaai, Abdul R. Ofoli, Ahmed Rubaai, Marcel Castro-Sitiriche and Laurent Njilla. Their work appears in journals such as Tsinghua Science & Technology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industry Applications, IEEE Transactions on Industrial Electronics and Applied Network Science.

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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