Arif Ahmed Sekh

44 papers and 345 indexed citations i.

About

Arif Ahmed Sekh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Arif Ahmed Sekh has authored 44 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Arif Ahmed Sekh’s work include Topic Modeling (8 papers), Video Analysis and Summarization (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Arif Ahmed Sekh is often cited by papers focused on Topic Modeling (8 papers), Video Analysis and Summarization (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Arif Ahmed Sekh collaborates with scholars based in India, Norway and South Korea. Arif Ahmed Sekh's co-authors include Samarjit Kar, Dilip K. Prasad, Debi Prosad Dogra, Santanu Phadikar, Heeseung Choi, Partha Pratim Roy, Balpreet Singh Ahluwalia, Åsa Birna Birgisdottir, Krishna Agarwal and Ig-Jae Kim and has published in prestigious journals such as Expert Systems with Applications, Journal of the Franklin Institute and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Arif Ahmed Sekh i

Fields of papers citing papers by Arif Ahmed Sekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arif Ahmed Sekh. 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 Arif Ahmed Sekh. The network helps show where Arif Ahmed Sekh may publish in the future.

Countries citing papers authored by Arif Ahmed Sekh

Since Specialization
Citations

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