Samyak Parajuli

About

Samyak Parajuli is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Samyak Parajuli has authored 3 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Samyak Parajuli’s work include Smart Grid Energy Management (1 paper), Advanced Neural Network Applications (1 paper) and Microgrid Control and Optimization (1 paper). Samyak Parajuli is often cited by papers focused on Smart Grid Energy Management (1 paper), Advanced Neural Network Applications (1 paper) and Microgrid Control and Optimization (1 paper). Samyak Parajuli collaborates with scholars based in United States, India and The Netherlands. Samyak Parajuli's co-authors include Norman Mu, Fengqiu Wang, Tyler Zhu, Jacob Steinhardt, Dawn Song, Justin Gilmer, Saurav Kadavath, Steven Basart, Dan Hendrycks and Anuradha Tomar and has published in prestigious journals such as Machine Vision and Applications, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020).

In The Last Decade

Co-authorship network of co-authors of Samyak Parajuli i

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Fields of papers citing papers by Samyak Parajuli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samyak Parajuli

Since Specialization

Citations

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