P. Nowakowski

6.2k total citations
21 papers, 114 citations indexed

About

P. Nowakowski is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, P. Nowakowski has authored 21 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in P. Nowakowski's work include Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (6 papers). P. Nowakowski is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (6 papers). P. Nowakowski collaborates with scholars based in Poland, United Kingdom and Germany. P. Nowakowski's co-authors include Krzysztof Cabaj, Wojciech Mazurczyk, M. Malawski, Joanna Kocot, Tomasz Gubała, Marek Kasztelnik, Marian Bubak, L. K. Graczykowski, Janusz Trzebicki and Andrzej Szymon Borkowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Physics Communications.

In The Last Decade

P. Nowakowski

19 papers receiving 107 citations

Peers

P. Nowakowski
David O. Manz United States
Vegard Engen United Kingdom
Sailik Sengupta United States
Mirja Kühlewind Switzerland
David O. Manz United States
P. Nowakowski
Citations per year, relative to P. Nowakowski P. Nowakowski (= 1×) peers David O. Manz

Countries citing papers authored by P. Nowakowski

Since Specialization
Citations

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

Fields of papers citing papers by P. Nowakowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Nowakowski

This figure shows the co-authorship network connecting the top 25 collaborators of P. Nowakowski. A scholar is included among the top collaborators of P. Nowakowski 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 P. Nowakowski. P. Nowakowski 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.
Borkowski, Andrzej Szymon & P. Nowakowski. (2023). Use of applications and rendering engines in architectural design – state-of-the-art. SHILAP Revista de lepidopterología. 22(1). 5–14. 2 indexed citations
3.
Nowakowski, P., P. S. Rokita, & L. K. Graczykowski. (2023). GPU propagation and visualisation of particle collisions with accurate model of ALICE detector magnetic field. Computer Physics Communications. 294. 108912–108912. 1 indexed citations
5.
Nowakowski, P., et al.. (2021). Detecting Network Covert Channels using Machine Learning, Data Mining and Hierarchical Organisation of Frequent Sets.. 12. 20–43. 11 indexed citations
6.
Nowakowski, P., P. S. Rokita, & L. K. Graczykowski. (2021). Distributed simulation and visualization of the ALICE detector magnetic field. Computer Physics Communications. 271. 108206–108206. 1 indexed citations
7.
Nowakowski, P., et al.. (2021). Study of the Error Detection and Correction Scheme for Distributed Network Covert Channels. 1–8. 1 indexed citations
8.
Graczykowski, L. K., P. Nowakowski, & P. Foka. (2020). New developments for ALICE MasterClasses and the new Particle Therapy MasterClass. Springer Link (Chiba Institute of Technology). 4 indexed citations
9.
Cabaj, Krzysztof, et al.. (2020). Efficient distributed network covert channels for Internet of things environments†. 6(1). 8 indexed citations
10.
11.
Nowakowski, P., et al.. (2020). Sniffing Detection Based on Network Traffic Probing and Machine Learning. IEEE Access. 8. 149255–149269. 10 indexed citations
12.
13.
Cabaj, Krzysztof, et al.. (2019). Sniffing Detection within the Network. 1–8. 3 indexed citations
14.
15.
Cabaj, Krzysztof, et al.. (2019). Network Threats Mitigation Using Software-Defined Networking for the 5G Internet of Radio Light System. Security and Communication Networks. 2019. 1–22. 13 indexed citations
16.
Cabaj, Krzysztof, et al.. (2018). Towards Distributed Network Covert Channels Detection Using Data Mining-based Approach. 1–10. 6 indexed citations
17.
Cabaj, Krzysztof, et al.. (2018). SDN-based Mitigation of Scanning Attacks for the 5G Internet of Radio Light System. 1–10. 13 indexed citations
18.
Bubak, Marian, et al.. (2013). Evaluation of Cloud Providers for VPH Applications. 200–201. 4 indexed citations
19.
Kocot, Joanna, Marek Kasztelnik, P. Nowakowski, et al.. (2010). Exploratory programming in the virtual laboratory. 25. 621–628. 23 indexed citations
20.
Verhoeven, Ronny, Robert Banasiak, Tomasz Okruszko, et al.. (2003). Hydraulic Modelling of River Flow - data collection and problem solving. Ghent University Academic Bibliography (Ghent University). 1. 9–24. 2 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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