Nedim Šrndić

About

Nedim Šrndić is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Nedim Šrndić has authored 3 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Nedim Šrndić’s work include Network Security and Intrusion Detection (2 papers), Advanced Malware Detection Techniques (2 papers) and Machine Learning and Data Classification (1 paper). Nedim Šrndić is often cited by papers focused on Network Security and Intrusion Detection (2 papers), Advanced Malware Detection Techniques (2 papers) and Machine Learning and Data Classification (1 paper). Nedim Šrndić collaborates with scholars based in Germany and Liechtenstein. Nedim Šrndić's co-authors include Pavel Laskov and has published in prestigious journals such as Network and Distributed System Security Symposium, IEEE Symposium on Security and Privacy and DOAJ (DOAJ: Directory of Open Access Journals).

In The Last Decade

Co-authorship network of co-authors of Nedim Šrndić i

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Fields of papers citing papers by Nedim Šrndić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nedim Šrndić

Since Specialization

Citations

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