Kamil Grabowski

39 total papers · 445 total citations
29 papers, 278 citations indexed

About

Kamil Grabowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kamil Grabowski has authored 29 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Kamil Grabowski's work include Biometric Identification and Security (19 papers), User Authentication and Security Systems (7 papers) and Forensic Fingerprint Detection Methods (4 papers). Kamil Grabowski is often cited by papers focused on Biometric Identification and Security (19 papers), User Authentication and Security Systems (7 papers) and Forensic Fingerprint Detection Methods (4 papers). Kamil Grabowski collaborates with scholars based in Poland and Portugal. Kamil Grabowski's co-authors include Mariusz Zubert, M. Napieralska, Andrzej Napieralski, Rafał Szewczyk, Anna Wróblewska, Tomasz Górecki, Michał Wysocki, Katarzyna Węgrzyn, Krzysztof A. Tomaszewski and Jerzy Walocha and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition Letters and Image and Vision Computing.

In The Last Decade

Kamil Grabowski

26 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
Kamil Grabowski	187	139	93	41	22	29	278
Kyoungtaek Choi	207 1.1×	223 1.6×	100 1.1×	58 1.4×	13 0.6×	20	331
Tingting Chai	188 1.0×	138 1.0×	46 0.5×	10 0.2×	31 1.4×	31	256
Jing Liu	112 0.6×	150 1.1×	40 0.4×	17 0.4×	31 1.4×	22	303
Caiyong Wang	156 0.8×	133 1.0×	42 0.5×	15 0.4×	30 1.4×	24	258
Hunny Mehrotra	239 1.3×	199 1.4×	119 1.3×	28 0.7×	15 0.7×	24	287
Abduljalil Radman	148 0.8×	139 1.0×	60 0.6×	9 0.2×	17 0.8×	30	302
Srijith Rajeev	90 0.5×	165 1.2×	17 0.2×	21 0.5×	6 0.3×	21	249
Atif Bin Mansoor	80 0.4×	145 1.0×	26 0.3×	7 0.2×	8 0.4×	31	220
Rafał Doroz	123 0.7×	199 1.4×	74 0.8×	10 0.2×	11 0.5×	40	323
Prathyusha Kanakam	240 1.3×	126 0.9×	99 1.1×	27 0.7×	89 4.0×	23	310

Countries citing papers authored by Kamil Grabowski

Since Specialization

Citations

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

Fields of papers citing papers by Kamil Grabowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamil Grabowski

This figure shows the co-authorship network connecting the top 25 collaborators of Kamil Grabowski. A scholar is included among the top collaborators of Kamil Grabowski 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 Kamil Grabowski. Kamil Grabowski 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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