Neha Gaud

About

Neha Gaud is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Neha Gaud has authored 5 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Neha Gaud’s work include Gait Recognition and Analysis (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Muscle activation and electromyography studies (2 papers). Neha Gaud is often cited by papers focused on Gait Recognition and Analysis (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Muscle activation and electromyography studies (2 papers). Neha Gaud collaborates with scholars based in India and South Korea. Neha Gaud's co-authors include Vijay Bhaskar Semwal, Vishwanath Bijalwan, Praveen Lalwani, Ugrasen Suman, Ghanapriya Singh, Abdul Manan Khan and Youngshik Kim and has published in prestigious journals such as IEEE Sensors Journal, Artificial Intelligence Review and Advances in intelligent systems and computing.

In The Last Decade

Co-authorship network of co-authors of Neha Gaud i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Neha Gaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Gaud

Since Specialization

Citations

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

Explore authors with similar magnitude of impact