Artur Janicki

90 total papers · 828 total citations
49 papers, 478 citations indexed

About

Artur Janicki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Artur Janicki has authored 49 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Artur Janicki's work include Internet Traffic Analysis and Secure E-voting (14 papers), Speech Recognition and Synthesis (12 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Artur Janicki is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (14 papers), Speech Recognition and Synthesis (12 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Artur Janicki collaborates with scholars based in Poland, France and Germany. Artur Janicki's co-authors include Wojciech Mazurczyk, Nicholas Evans, Federico Alegre, Krzysztof Szczypiorski, Katarzyna Wasielewska, Michał Choraś, Marek Pawlicki, Luca Caviglione, Igino Corona and Marek Kozłowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Artur Janicki

42 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Artur Janicki	312	257	140	136	62	49	478
Avinash Kumar	340 1.1×	141 0.5×	34 0.2×	49 0.4×	52 0.8×	42	429
Yanxiong Li	249 0.8×	340 1.3×	199 1.4×	33 0.2×	30 0.5×	77	518
Chai Wutiwiwatchai	356 1.1×	241 0.9×	113 0.8×	45 0.3×	23 0.4×	110	538
Shajith Ikbal	323 1.0×	273 1.1×	45 0.3×	18 0.1×	38 0.6×	33	475
Raymond Hu	300 1.0×	81 0.3×	27 0.2×	122 0.9×	41 0.7×	21	475
Carmén García Mateo	318 1.0×	287 1.1×	109 0.8×	17 0.1×	52 0.8×	88	534
Tsang-Long Pao	152 0.5×	172 0.7×	87 0.6×	49 0.4×	44 0.7×	35	430
Parisa Haghani	328 1.1×	213 0.8×	61 0.4×	133 1.0×	69 1.1×	31	486
Abdolhossein Sarrafzadeh	144 0.5×	67 0.3×	103 0.7×	79 0.6×	69 1.1×	48	407
Raja Noor Ainon	337 1.1×	176 0.7×	40 0.3×	15 0.1×	36 0.6×	37	466

Countries citing papers authored by Artur Janicki

Since Specialization

Citations

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

Fields of papers citing papers by Artur Janicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Janicki

This figure shows the co-authorship network connecting the top 25 collaborators of Artur Janicki. A scholar is included among the top collaborators of Artur Janicki 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 Artur Janicki. Artur Janicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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