Shukrani Manya

55 total papers · 937 total citations
41 papers, 717 citations indexed

About

Shukrani Manya is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Shukrani Manya has authored 41 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Geophysics, 27 papers in Artificial Intelligence and 18 papers in Geochemistry and Petrology. Recurrent topics in Shukrani Manya's work include Geological and Geochemical Analysis (35 papers), Geochemistry and Geologic Mapping (27 papers) and Geochemistry and Elemental Analysis (18 papers). Shukrani Manya is often cited by papers focused on Geological and Geochemical Analysis (35 papers), Geochemistry and Geologic Mapping (27 papers) and Geochemistry and Elemental Analysis (18 papers). Shukrani Manya collaborates with scholars based in Tanzania, United States and Japan. Shukrani Manya's co-authors include Makenya A.H. Maboko, M.A.H. Maboko, Eizou Nakamura, K. Kobayashi, Eizo Nakamura, Richard J. Brown, Iris Buisman, R. S. J. Sparks, Roberta L. Rudnick and Finlay M. Stuart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Geology and Journal of Petrology.

In The Last Decade

Shukrani Manya

39 papers receiving 700 citations

Author Peers

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

Author						Papers	Cites
Shukrani Manya	609	367	247	47	35	41	717
Luke Ootes	564 0.9×	371 1.0×	181 0.7×	87 1.9×	45 1.3×	36	633
Luc Barbanson	620 1.0×	299 0.8×	128 0.5×	34 0.7×	20 0.6×	49	791
Kirsten Drüppel	671 1.1×	236 0.6×	102 0.4×	60 1.3×	51 1.5×	36	783
Shuang‐Qing Li	699 1.1×	325 0.9×	143 0.6×	64 1.4×	67 1.9×	37	881
Martin J. Gole	614 1.0×	371 1.0×	223 0.9×	130 2.8×	40 1.1×	30	790
Hui Huang	562 0.9×	245 0.7×	104 0.4×	38 0.8×	28 0.8×	34	661
Yao Ma	688 1.1×	420 1.1×	212 0.9×	34 0.7×	53 1.5×	42	806
D. V. Subba Rao	805 1.3×	325 0.9×	212 0.9×	63 1.3×	16 0.5×	54	886
G. K. Muecke	717 1.2×	355 1.0×	209 0.8×	55 1.2×	49 1.4×	26	834
Geordie Mark	694 1.1×	419 1.1×	120 0.5×	25 0.5×	34 1.0×	21	722

Countries citing papers authored by Shukrani Manya

Since Specialization

Citations

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

Fields of papers citing papers by Shukrani Manya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukrani Manya

This figure shows the co-authorship network connecting the top 25 collaborators of Shukrani Manya. A scholar is included among the top collaborators of Shukrani Manya 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 Shukrani Manya. Shukrani Manya 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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