Maya John

29 total papers · 1.3k total citations
11 papers, 48 citations indexed

About

Maya John is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maya John has authored 11 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maya John's work include COVID-19 epidemiological studies (4 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Pandemic Impacts (2 papers). Maya John is often cited by papers focused on COVID-19 epidemiological studies (4 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Pandemic Impacts (2 papers). Maya John collaborates with scholars based in Saudi Arabia, India and United Kingdom. Maya John's co-authors include Hadil Shaiba, Souham Meshoul and Myriam Hadjouni and has published in prestigious journals such as Heliyon, Journal of Infection and Public Health and Computer Applications in Engineering Education.

In The Last Decade

Maya John

7 papers receiving 45 citations

Author Peers

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

Author						Papers	Cites
Maya John	11	11	10	9	8	11	48
Tian Feng	4 0.4×	3 0.3×	8 0.8×	4 0.4×		13	50
Ana Carolina Borges Monteiro	2 0.2×	6 0.5×	9 0.9×		11 1.4×	9	66
Adam M. Costello	3 0.3×	11 1.0×		2 0.2×	25 3.1×	8	232
Ranjan Mondal	12 1.1×	19 1.7×	3 0.3×		3 0.4×	9	221
Julien Brunel	6 0.5×	20 1.8×		2 0.2×	13 1.6×	15	42
Deeksha Sinha		9 0.8×	2 0.2×	2 0.2×	2 0.3×	9	66
Lijun Zhou	10 0.9×	5 0.5×	2 0.2×		2 0.3×	13	59
Hagar Mahmoud	2 0.2×	2 0.2×		7 0.8×	7 0.9×	8	60
Sara Tarek		27 2.5×	3 0.3×	6 0.7×	2 0.3×	10	80
Shan Yu	2 0.2×	11 1.0×	7 0.7×			14	72

Countries citing papers authored by Maya John

Since Specialization

Citations

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

Fields of papers citing papers by Maya John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya John

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