Godwin Amechi Okeke

82 total papers · 414 total citations
54 papers, 291 citations indexed

About

Godwin Amechi Okeke is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Godwin Amechi Okeke has authored 54 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Geometry and Topology, 37 papers in Computational Theory and Mathematics and 18 papers in Applied Mathematics. Recurrent topics in Godwin Amechi Okeke's work include Fixed Point Theorems Analysis (46 papers), Optimization and Variational Analysis (36 papers) and Nonlinear Differential Equations Analysis (17 papers). Godwin Amechi Okeke is often cited by papers focused on Fixed Point Theorems Analysis (46 papers), Optimization and Variational Analysis (36 papers) and Nonlinear Differential Equations Analysis (17 papers). Godwin Amechi Okeke collaborates with scholars based in Nigeria, Pakistan and Saudi Arabia. Godwin Amechi Okeke's co-authors include Mujahid Abbas, Manuel De la Sen, D. Francis, Safeer Hussain Khan, Jong Kyu Kim, S.A. Bishop, Thabet Abdeljawad, Manar A. Alqudah, Aziz Khan and Hüseyin Işık and has published in prestigious journals such as SHILAP Revista de lepidopterología, Heliyon and Symmetry.

In The Last Decade

Godwin Amechi Okeke

45 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Godwin Amechi Okeke	217	188	111	81	75	54	291
Izhar Uddin	211 1.0×	192 1.0×	120 1.1×	39 0.5×	73 1.0×	49	271
Parin Chaipunya	162 0.7×	136 0.7×	138 1.2×	13 0.2×	49 0.7×	52	332
Hamid Baghani	170 0.8×	32 0.2×	80 0.7×	150 1.9×	193 2.6×	36	331
Espedito De Pascale	83 0.4×	94 0.5×	144 1.3×	75 0.9×	129 1.7×	25	315
B. D. Gel’man	133 0.6×	192 1.0×	56 0.5×	9 0.1×	181 2.4×	26	297
Mieczysław Altman	85 0.4×	118 0.6×	67 0.6×	11 0.1×	102 1.4×	34	321
Giovanni Vidossich	93 0.4×	82 0.4×	88 0.8×	16 0.2×	152 2.0×	41	275
Mudasir Younıs	264 1.2×	36 0.2×	41 0.4×	64 0.8×	55 0.7×	38	318
Tiziana Cardinali	81 0.4×	110 0.6×	57 0.5×	70 0.9×	299 4.0×	50	328
Abdur Rehman	47 0.2×	169 0.9×	63 0.6×	33 0.4×	195 2.6×	33	294

Countries citing papers authored by Godwin Amechi Okeke

Since Specialization

Citations

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

Fields of papers citing papers by Godwin Amechi Okeke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Godwin Amechi Okeke. 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 Godwin Amechi Okeke. The network helps show where Godwin Amechi Okeke may publish in the future.

Co-authorship network of co-authors of Godwin Amechi Okeke

This figure shows the co-authorship network connecting the top 25 collaborators of Godwin Amechi Okeke. A scholar is included among the top collaborators of Godwin Amechi Okeke 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 Godwin Amechi Okeke. Godwin Amechi Okeke 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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