Ronald Doku

556 total citations
10 papers, 342 citations indexed

About

Ronald Doku is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ronald Doku has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Ronald Doku's work include Blockchain Technology Applications and Security (8 papers), IoT and Edge/Fog Computing (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Ronald Doku is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), IoT and Edge/Fog Computing (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Ronald Doku collaborates with scholars based in United States. Ronald Doku's co-authors include Danda B. Rawat, Moses Garuba, Chunmei Liu, Chandra Bajracharya, Charles Kamhoua and Laurent Njilla and has published in prestigious journals such as IEEE Network, IEEE Transactions on Services Computing and IEEE Transactions on Network Science and Engineering.

In The Last Decade

Ronald Doku

10 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronald Doku United States	10	205	143	132	46	31	10	342
Shichang Xuan China	12	180 0.9×	129 0.9×	104 0.8×	56 1.2×	28 0.9×	34	328
F. Ibikunle Nigeria	7	247 1.2×	146 1.0×	103 0.8×	47 1.0×	29 0.9×	51	405
Taek-Young Youn South Korea	10	244 1.2×	192 1.3×	193 1.5×	60 1.3×	38 1.2×	38	365
Eder J. Scheid Switzerland	13	275 1.3×	303 2.1×	100 0.8×	69 1.5×	35 1.1×	54	462
S. Swamynathan India	9	180 0.9×	143 1.0×	124 0.9×	53 1.2×	18 0.6×	59	340
Md Zakirul Alam Bhuiyan United States	7	183 0.9×	112 0.8×	163 1.2×	21 0.5×	21 0.7×	10	317
Juan Manuel González Nieto Australia	10	145 0.7×	192 1.3×	167 1.3×	58 1.3×	34 1.1×	33	360
Noura Faci France	10	172 0.8×	185 1.3×	107 0.8×	24 0.5×	24 0.8×	33	340
Shigeaki Tanimoto Japan	8	218 1.1×	149 1.0×	97 0.7×	16 0.3×	49 1.6×	75	339
Ammar Battah United Arab Emirates	12	299 1.5×	203 1.4×	140 1.1×	20 0.4×	60 1.9×	14	469

Countries citing papers authored by Ronald Doku

Since Specialization

Citations

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

Fields of papers citing papers by Ronald Doku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Doku

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Doku, Ronald & Danda B. Rawat. (2021). Mitigating Data Poisoning Attacks On a Federated Learning-Edge Computing Network. 1–6. 24 indexed citations

2.

Rawat, Danda B., et al.. (2020). Blockchain Technology: Emerging Applications and Use Cases for Secure and Trustworthy Smart Systems. Journal of Cybersecurity and Privacy. 1(1). 4–18. 74 indexed citations

3.

Doku, Ronald, Danda B. Rawat, Moses Garuba, & Laurent Njilla. (2020). Fusion of Named Data Networking and Blockchain for Resilient Internet-of-Battlefield-Things. 9 indexed citations

4.

Doku, Ronald, Danda B. Rawat, & Chunmei Liu. (2020). On the Blockchain-Based Decentralized Data Sharing for Event Based Encryption to Combat Adversarial Attacks. IEEE Transactions on Network Science and Engineering. 8(2). 1033–1043. 15 indexed citations

5.

Doku, Ronald & Danda B. Rawat. (2020). IFLBC: On the Edge Intelligence Using Federated Learning Blockchain Network. 221–226. 11 indexed citations

6.

Rawat, Danda B., et al.. (2020). Blockchain Enabled Named Data Networking for Secure Vehicle-to-Everything Communications. IEEE Network. 34(5). 185–189. 41 indexed citations

7.

Rawat, Danda B., Ronald Doku, & Moses Garuba. (2019). Cybersecurity in Big Data Era: From Securing Big Data to Data-Driven Security. IEEE Transactions on Services Computing. 14(6). 2055–2072. 112 indexed citations

8.

Doku, Ronald & Danda B. Rawat. (2019). Pledge: A Private Ledger Based Decentralized Data Sharing Framework. 1–11. 11 indexed citations

9.

Doku, Ronald, Danda B. Rawat, Moses Garuba, & Laurent Njilla. (2019). LightChain: On the Lightweight Blockchain for the Internet-of-Things. 444–448. 16 indexed citations

10.

Doku, Ronald, Danda B. Rawat, & Chunmei Liu. (2019). Towards Federated Learning Approach to Determine Data Relevance in Big Data. 184–192. 29 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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