Umme Sara

About

Umme Sara is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Umme Sara has authored 7 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Umme Sara’s work include Artificial Intelligence in Healthcare (2 papers), Smart Grid Energy Management (1 paper) and IoT-based Smart Home Systems (1 paper). Umme Sara is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Smart Grid Energy Management (1 paper) and IoT-based Smart Home Systems (1 paper). Umme Sara collaborates with scholars based in Bangladesh. Umme Sara's co-authors include Mohammad Shorif Uddin, Morium Akter, Diganta Bhusan Das, Dipanjali Kundu, Anichur Rahman, Saiful Islam and Abu Bakkar Siddik and has published in prestigious journals such as Data in Brief, International Journal of Advanced Computer Science and Applications and International Journal of Advanced Technology and Engineering Exploration.

In The Last Decade

Co-authorship network of co-authors of Umme Sara i

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Fields of papers citing papers by Umme Sara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umme Sara

Since Specialization

Citations

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