Eustace M. Dogo

54 total papers · 919 total citations
26 papers, 487 citations indexed

About

Eustace M. Dogo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Eustace M. Dogo has authored 26 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Eustace M. Dogo's work include IoT and Edge/Fog Computing (4 papers), Water Systems and Optimization (4 papers) and Water Quality Monitoring Technologies (4 papers). Eustace M. Dogo is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Water Systems and Optimization (4 papers) and Water Quality Monitoring Technologies (4 papers). Eustace M. Dogo collaborates with scholars based in South Africa, Nigeria and Japan. Eustace M. Dogo's co-authors include Nnamdi Nwulu, Clinton Aigbavboa, Bhekisipho Twala, Yanxia Sun, S.K. Salman, Olayemi Mikail Olaniyi, Najmul Hassan, Lukman Adewale Ajao, Salihu Aliyu and Sanjay Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Eustace M. Dogo

25 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
Eustace M. Dogo	128	80	72	64	64	26	487
Najmeh Sadat Jaddi	302 2.4×	39 0.5×	49 0.7×	55 0.9×	97 1.5×	24	542
Sandra Gómez-Canaval	153 1.2×	49 0.6×	105 1.5×	26 0.4×	34 0.5×	28	431
Zhonghua Tang	195 1.5×	76 0.9×	23 0.3×	46 0.7×	43 0.7×	28	463
Tao Ren	59 0.5×	98 1.2×	204 2.8×	46 0.7×	98 1.5×	37	477
Rohit Tiwari	121 0.9×	86 1.1×	50 0.7×	39 0.6×	28 0.4×	20	437
Qingjian Ni	159 1.2×	42 0.5×	159 2.2×	45 0.7×	147 2.3×	33	527
Raghvendra Kumar	63 0.5×	69 0.9×	64 0.9×	30 0.5×	127 2.0×	30	521
Yuangang Li	212 1.7×	57 0.7×	48 0.7×	17 0.3×	43 0.7×	26	498
Muhammad Zubair Rehman	158 1.2×	57 0.7×	26 0.4×	21 0.3×	55 0.9×	31	417
Alfred Daniel	120 0.9×	93 1.2×	144 2.0×	22 0.3×	168 2.6×	46	549

Countries citing papers authored by Eustace M. Dogo

Since Specialization

Citations

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

Fields of papers citing papers by Eustace M. Dogo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eustace M. Dogo. 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 Eustace M. Dogo. The network helps show where Eustace M. Dogo may publish in the future.

Co-authorship network of co-authors of Eustace M. Dogo

This figure shows the co-authorship network connecting the top 25 collaborators of Eustace M. Dogo. A scholar is included among the top collaborators of Eustace M. Dogo 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 Eustace M. Dogo. Eustace M. Dogo 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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