Pavel Laskov

About

Pavel Laskov is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pavel Laskov has authored 22 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Pavel Laskov’s work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Information and Cyber Security (4 papers). Pavel Laskov is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Information and Cyber Security (4 papers). Pavel Laskov collaborates with scholars based in Germany, United States and Liechtenstein. Pavel Laskov's co-authors include Nedim Šrndić, Blaine Nelson, Christian Gehl, Klaus‐Robert Müller, Battista Biggio, Marius Kloft, Richard P. Lippmann, Giovanni Apruzzese, Chandra Kambhamettu and Christin Schäfer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, BMC Bioinformatics and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Pavel Laskov i

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Fields of papers citing papers by Pavel Laskov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Laskov

Since Specialization

Citations

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