Nigar M. Shafiq Surameery

About

Nigar M. Shafiq Surameery is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Nigar M. Shafiq Surameery has authored 6 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Nigar M. Shafiq Surameery’s work include Biometric Identification and Security (2 papers), COVID-19 diagnosis using AI (1 paper) and Cryptography and Data Security (1 paper). Nigar M. Shafiq Surameery is often cited by papers focused on Biometric Identification and Security (2 papers), COVID-19 diagnosis using AI (1 paper) and Cryptography and Data Security (1 paper). Nigar M. Shafiq Surameery collaborates with scholars based in Iraq and Palestine. Nigar M. Shafiq Surameery's co-authors include Mohammed Y. Shakor, Zuheir N. Khlaif, A. A. Yunis and Peshawa Jammal Muhammad Ali and has published in prestigious journals such as Advances in Multimedia, DOAJ (DOAJ: Directory of Open Access Journals) and ARO-The Scientific Journal of Koya University.

In The Last Decade

Co-authorship network of co-authors of Nigar M. Shafiq Surameery i

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Fields of papers citing papers by Nigar M. Shafiq Surameery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigar M. Shafiq Surameery. 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 Nigar M. Shafiq Surameery. The network helps show where Nigar M. Shafiq Surameery may publish in the future.

Countries citing papers authored by Nigar M. Shafiq Surameery

Since Specialization

Citations

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