U. John Tanik

17 papers and 524 indexed citations i.

About

U. John Tanik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, U. John Tanik has authored 17 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in U. John Tanik’s work include IoT and Edge/Fog Computing (2 papers), Embedded Systems Design Techniques (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). U. John Tanik is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Embedded Systems Design Techniques (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). U. John Tanik collaborates with scholars based in United States, Pakistan and India. U. John Tanik's co-authors include V. Rajinikanth, Steven Lawrence Fernandes, Muhammad Attique Khan, U. Rajendra Acharya, Edward J. Ciaccio, Chai Hong Yeong, Muhammad Sharif, Mussarat Yasmin, Muhammad Rashid and Farhat Afza and has published in prestigious journals such as Neural Computing and Applications, Microscopy Research and Technique and Journal of Medical Systems.

In The Last Decade

Co-authorship network of co-authors of U. John Tanik i

Fields of papers citing papers by U. John Tanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U. John Tanik

Since Specialization
Citations

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

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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