Megha Khanna

17 papers and 206 indexed citations i.

About

Megha Khanna is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Megha Khanna has authored 17 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 14 papers in Software and 4 papers in Artificial Intelligence. Recurrent topics in Megha Khanna’s work include Software Engineering Research (15 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Techniques and Practices (6 papers). Megha Khanna is often cited by papers focused on Software Engineering Research (15 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Techniques and Practices (6 papers). Megha Khanna collaborates with scholars based in India, United States and Spain. Megha Khanna's co-authors include Ruchika Malhotra, Rajeev R. Raje, Mehak Aggarwal and Vrinda Gupta and has published in prestigious journals such as Knowledge-Based Systems, Information and Software Technology and Swarm and Evolutionary Computation.

In The Last Decade

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

Fields of papers citing papers by Megha Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megha Khanna

Since Specialization
Citations

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