Sayani Majumdar

67 papers and 1.7k indexed citations i.

About

Sayani Majumdar is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Sayani Majumdar has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electronic, Optical and Magnetic Materials, 31 papers in Electrical and Electronic Engineering and 27 papers in Condensed Matter Physics. Recurrent topics in Sayani Majumdar’s work include Magnetic and transport properties of perovskites and related materials (36 papers), Advanced Condensed Matter Physics (26 papers) and Advanced Memory and Neural Computing (20 papers). Sayani Majumdar is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (36 papers), Advanced Condensed Matter Physics (26 papers) and Advanced Memory and Neural Computing (20 papers). Sayani Majumdar collaborates with scholars based in Finland, Germany and India. Sayani Majumdar's co-authors include Sebastiaan van Dijken, Himadri S. Majumdar, H. Huhtinen, P. Paturi, Hongwei Tan, Ronald Österbacka, R. Laiho, Qi Qin, P. Laukkanen and Qi Hang Qin and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Sayani Majumdar i

Fields of papers citing papers by Sayani Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sayani Majumdar

Since Specialization
Citations

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