Manohar Karki

13 papers and 320 indexed citations i.

About

Manohar Karki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Manohar Karki has authored 13 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Manohar Karki’s work include COVID-19 diagnosis using AI (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Remote Sensing in Agriculture (2 papers). Manohar Karki is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Remote Sensing in Agriculture (2 papers). Manohar Karki collaborates with scholars based in United States, South Korea and China. Manohar Karki's co-authors include Saikat Basu, Supratik Mukhopadhyay, Robert DiBiano, Ramakrishna Nemani, Sangram Ganguly, Sin-Youl Park, Eunmi Lee, Junghwan Cho, Jeong-Woo Son and Dong Eun Lee and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Neural Networks and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Manohar Karki i

Fields of papers citing papers by Manohar Karki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Manohar Karki

Since Specialization
Citations

This map shows the geographic impact of Manohar Karki'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 Manohar Karki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manohar Karki 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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2025