Naila Al Hasan

16 papers and 603 indexed citations i.

About

Naila Al Hasan is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Naila Al Hasan has authored 16 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Mechanical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Naila Al Hasan’s work include Shape Memory Alloy Transformations (4 papers), High Entropy Alloys Studies (4 papers) and Machine Learning in Materials Science (3 papers). Naila Al Hasan is often cited by papers focused on Shape Memory Alloy Transformations (4 papers), High Entropy Alloys Studies (4 papers) and Machine Learning in Materials Science (3 papers). Naila Al Hasan collaborates with scholars based in United States, China and Germany. Naila Al Hasan's co-authors include Ichiro Takeuchi, Huilong Hou, Drew Stasak, Jun Cui, Ryan Ott, Suxin Qian, Emrah Simsek, Yunho Hwang, Mohsen Asle Zaeem and Valery I. Levitas and has published in prestigious journals such as Science, Langmuir and The Journal of Physical Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Naila Al Hasan i

Fields of papers citing papers by Naila Al Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naila Al Hasan. 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 Naila Al Hasan. The network helps show where Naila Al Hasan may publish in the future.

Countries citing papers authored by Naila Al Hasan

Since Specialization
Citations

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