Neha Bharill

About

Neha Bharill is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Neha Bharill has authored 17 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Neha Bharill’s work include Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (9 papers) and Machine Learning in Bioinformatics (5 papers). Neha Bharill is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (9 papers) and Machine Learning in Bioinformatics (5 papers). Neha Bharill collaborates with scholars based in India, Australia and China. Neha Bharill's co-authors include Aruna Tiwari, Om Prakash Patel, Mukesh Prasad, Meng Joo Er, Amit Saxena, Akshansh Gupta, Weiping Ding, Chin‐Teng Lin, Milind B. Ratnaparkhe and Manoranjan Mohanty and has published in prestigious journals such as IEEE Access, Neurocomputing and Soft Computing.

In The Last Decade

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

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Fields of papers citing papers by Neha Bharill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Bharill

Since Specialization

Citations

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