Fahim Kawsar

85 papers and 2.1k indexed citations i.

About

Fahim Kawsar is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Fahim Kawsar has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 21 papers in Electrical and Electronic Engineering and 19 papers in Computer Networks and Communications. Recurrent topics in Fahim Kawsar’s work include Context-Aware Activity Recognition Systems (38 papers), Mobile Crowdsensing and Crowdsourcing (16 papers) and Indoor and Outdoor Localization Technologies (12 papers). Fahim Kawsar is often cited by papers focused on Context-Aware Activity Recognition Systems (38 papers), Mobile Crowdsensing and Crowdsourcing (16 papers) and Indoor and Outdoor Localization Technologies (12 papers). Fahim Kawsar collaborates with scholars based in United Kingdom, United States and Japan. Fahim Kawsar's co-authors include Gerd Kortuem, V. Sundramoorthy, Daniel Fitton, Nicholas D. Lane, Sourav Bhattacharya, Claudio Forlivesi, Petko Georgiev, Akhil Mathur, Lorena Qendro and Lei Jiao and has published in prestigious journals such as IEEE Access, Journal of the American Medical Informatics Association and Computer.

In The Last Decade

Co-authorship network of co-authors of Fahim Kawsar i

Fields of papers citing papers by Fahim Kawsar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fahim Kawsar

Since Specialization
Citations

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