Megha Khosla

23 papers and 225 indexed citations i.

About

Megha Khosla is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Megha Khosla has authored 23 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Megha Khosla’s work include Advanced Graph Neural Networks (6 papers), Algorithms and Data Compression (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Megha Khosla is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Algorithms and Data Compression (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Megha Khosla collaborates with scholars based in Germany, The Netherlands and India. Megha Khosla's co-authors include Avishek Anand, Κωνσταντίνος Παναγιώτου, Nikolaos Fountoulakis, Vinay Setty, Ebubechukwu O. Ilo-Okeke, Tim Byrnes, Shinsuke Koyama, T. Mukai, Graham Brogden and Gisa Gerold and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Cell Reports.

In The Last Decade

Co-authorship network of co-authors of Megha Khosla i

Fields of papers citing papers by Megha Khosla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megha Khosla

Since Specialization
Citations

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