Michał Choraś

4.4k total citations
137 papers, 2.0k citations indexed

About

Michał Choraś is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Michał Choraś has authored 137 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Information Systems, 54 papers in Computer Networks and Communications and 49 papers in Artificial Intelligence. Recurrent topics in Michał Choraś's work include Network Security and Intrusion Detection (45 papers), Advanced Malware Detection Techniques (29 papers) and Anomaly Detection Techniques and Applications (20 papers). Michał Choraś is often cited by papers focused on Network Security and Intrusion Detection (45 papers), Advanced Malware Detection Techniques (29 papers) and Anomaly Detection Techniques and Applications (20 papers). Michał Choraś collaborates with scholars based in Poland, Germany and Italy. Michał Choraś's co-authors include Rafał Kozik, Marek Pawlicki, Tomasz Andrysiak, Aleksandra Pawlicka, Massimo Ficco, Ryszard S. Choraś, Vibekananda Dutta, Michał Woźniak, Francesco Palmieri and Agata Giełczyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michał Choraś

126 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michał Choraś Poland 24 839 822 815 637 420 137 2.0k
Yelena Yesha United States 26 514 0.6× 648 0.8× 1.1k 1.4× 731 1.1× 465 1.1× 173 2.5k
Mazhar Javed Awan Pakistan 26 318 0.4× 641 0.8× 413 0.5× 320 0.5× 285 0.7× 54 1.7k
Zunera Jalil Pakistan 24 701 0.8× 933 1.1× 694 0.9× 745 1.2× 448 1.1× 50 2.2k
Mustaque Ahamad United States 29 369 0.4× 916 1.1× 2.2k 2.7× 964 1.5× 237 0.6× 166 3.1k
Ragib Hasan United States 25 681 0.8× 534 0.6× 1.2k 1.4× 1.4k 2.1× 273 0.7× 140 2.4k
Sagar Samtani United States 22 454 0.5× 417 0.5× 418 0.5× 763 1.2× 121 0.3× 74 1.4k
A. S. M. Kayes Australia 21 379 0.5× 614 0.7× 738 0.9× 800 1.3× 133 0.3× 72 1.8k
Farkhund Iqbal United Arab Emirates 26 686 0.8× 1.1k 1.3× 689 0.8× 968 1.5× 358 0.9× 136 2.4k
Sanjay Krishnan United States 20 266 0.3× 881 1.1× 400 0.5× 289 0.5× 283 0.7× 76 1.8k
Haoyong Lan United States 2 138 0.2× 1.1k 1.4× 460 0.6× 883 1.4× 237 0.6× 4 1.8k

Countries citing papers authored by Michał Choraś

Since Specialization
Citations

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

Fields of papers citing papers by Michał Choraś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Choraś

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Choraś. A scholar is included among the top collaborators of Michał Choraś based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Choraś. Michał Choraś is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pawlicki, Marek, Aleksandra Pawlicka, Rafał Kozik, & Michał Choraś. (2025). A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models. Neurocomputing. 653. 131231–131231.
2.
Pawlicki, Marek, Aleksandra Pawlicka, Rafał Kozik, & Michał Choraś. (2024). The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation. Artificial Intelligence Review. 57(12). 3 indexed citations
3.
Pawlicki, Marek, Aleksandra Pawlicka, Rafał Kozik, & Michał Choraś. (2024). Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. 1–7. 3 indexed citations
4.
Pawlicka, Aleksandra, et al.. (2024). AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection. Information Sciences. 679. 121097–121097. 5 indexed citations
5.
Pawlicki, Marek, Aleksandra Pawlicka, Rafał Kozik, & Michał Choraś. (2024). Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. Neurocomputing. 590. 127759–127759. 12 indexed citations
6.
Behutiye, Woubshet, Pertti Seppänen, Pilar Rodríguez, et al.. (2024). Evidence-Based Quality-Aware Agile Software Development Process: Design and Evaluation. IEEE Access. 12. 86487–86512. 1 indexed citations
7.
Kozik, Rafał, et al.. (2024). Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing. 608. 128450–128450. 3 indexed citations
8.
Ksieniewicz, Paweł, et al.. (2023). Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Engineering Applications of Artificial Intelligence. 120. 105882–105882. 7 indexed citations
9.
Kozik, Rafał, Wojciech Mazurczyk, Krzysztof Cabaj, et al.. (2023). Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors. 23(24). 9666–9666. 5 indexed citations
10.
Choraś, Michał, Aleksandra Pawlicka, Rafał Kozik, & Michał Woźniak. (2022). How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. IT Professional. 24(2). 25–31. 4 indexed citations
11.
Pawlicka, Aleksandra, Michał Choraś, Rafał Kozik, & Marek Pawlicki. (2021). First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions. Personal and Ubiquitous Computing. 27(2). 193–202. 9 indexed citations
12.
Pawlicka, Aleksandra, Michał Choraś, & Marek Pawlicki. (2021). Opening up a discussion on the native speaker myth in science. Accountability in Research. 29(7). 477–481.
13.
Caviglione, Luca, Michał Choraś, Igino Corona, et al.. (2020). Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection. IEEE Access. 9. 5371–5396. 82 indexed citations
14.
Pawlicka, Aleksandra, et al.. (2020). Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees. PLoS ONE. 15(5). e0232771–e0232771. 17 indexed citations
15.
Choraś, Michał, Rafał Kozik, Lidia López, et al.. (2020). Measuring and Improving Agile Processes in a Small-Size Software Development Company. IEEE Access. 8. 78452–78466. 26 indexed citations
16.
Oriol, Marc, Silverio Martínez‐Fernández, Woubshet Behutiye, et al.. (2020). Data-driven and tool-supported elicitation of quality requirements in agile companies. Software Quality Journal. 28(3). 931–963. 20 indexed citations
17.
Kozik, Rafał & Michał Choraś. (2017). Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. Security and Communication Networks. 2017. 1–10. 14 indexed citations
18.
Choraś, Michał, et al.. (2016). Application "Pomoc" - Emergency Calls with Geo-location.. ISCRAM.
19.
Choraś, Michał, et al.. (2012). Federated Cyber Defence System — Applied methods and techniques. 1–6. 1 indexed citations
20.
Choraś, Michał. (2005). Image processing methods in person identification applications - ear biometrics. PRZEGLĄD ELEKTROTECHNICZNY. 38–41. 1 indexed citations

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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