Megha Surve

About

Megha Surve is a scholar working on Materials Chemistry, Organic Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Megha Surve has authored 7 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 2 papers in Organic Chemistry and 2 papers in Fluid Flow and Transfer Processes. Recurrent topics in Megha Surve’s work include Material Dynamics and Properties (6 papers), Surfactants and Colloidal Systems (2 papers) and Rheology and Fluid Dynamics Studies (2 papers). Megha Surve is often cited by papers focused on Material Dynamics and Properties (6 papers), Surfactants and Colloidal Systems (2 papers) and Rheology and Fluid Dynamics Studies (2 papers). Megha Surve collaborates with scholars based in United States and India. Megha Surve's co-authors include Venkat Ganesan, Victor Pryamitsyn, Jayesh Bellare and C. Manohar and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Langmuir.

In The Last Decade

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

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Fields of papers citing papers by Megha Surve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megha Surve

Since Specialization

Citations

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