Mariusz Flasiński

3.4k total citations
24 papers, 281 citations indexed

About

Mariusz Flasiński is a scholar working on Artificial Intelligence, Software and Computer Networks and Communications. According to data from OpenAlex, Mariusz Flasiński has authored 24 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Software and 3 papers in Computer Networks and Communications. Recurrent topics in Mariusz Flasiński's work include Model-Driven Software Engineering Techniques (4 papers), Natural Language Processing Techniques (4 papers) and Distributed and Parallel Computing Systems (3 papers). Mariusz Flasiński is often cited by papers focused on Model-Driven Software Engineering Techniques (4 papers), Natural Language Processing Techniques (4 papers) and Distributed and Parallel Computing Systems (3 papers). Mariusz Flasiński collaborates with scholars based in Poland and Germany. Mariusz Flasiński's co-authors include K. Ohrenberg, L. Hagge, U. Behrens, Grzegorz Lewicki, U. Behrens, U. Behrens and U. Behrens and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Nuclear Science.

In The Last Decade

Mariusz Flasiński

22 papers receiving 238 citations

Peers

Mariusz Flasiński

CVPR

CTM

SOFTW

Nadjet Kamel Algeria

Peter Piela United States

D.G. Elliman United Kingdom

S. Arumugam India

Bhupendra Verma India

Ce Zheng China

Nils Jansen Netherlands

Sahel Alouneh Jordan

E. M. Saad Egypt

Nadjet Kamel Algeria

Mariusz Flasiński

235 ×1.6

38 ×0.5

CVPR

6 ×0.2

65 ×1.7

CTM

7 ×0.2

SOFTW

Citations per year, relative to Mariusz Flasiński Mariusz Flasiński (= 1×) peers Nadjet Kamel

Countries citing papers authored by Mariusz Flasiński

Since Specialization

Citations

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

Fields of papers citing papers by Mariusz Flasiński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Flasiński

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

All Works

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20 of 20 papers shown

Flasiński, Mariusz, et al.. (2024). Multi-Derivational Parsing of Vague Languages— The New Paradigm of Syntactic Pattern Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5677–5691. 1 indexed citations

Flasiński, Mariusz, et al.. (2022). On the learning of vague languages for syntactic pattern recognition. Pattern Analysis and Applications. 26(2). 605–615. 1 indexed citations

Flasiński, Mariusz. (2018). Syntactic Pattern Recognition. Homo Politicus (Academy of Humanities and Economics in Lodz). 3 indexed citations

Flasiński, Mariusz. (2016). Introduction to Artificial Intelligence. Homo Politicus (Academy of Humanities and Economics in Lodz). 60 indexed citations

Flasiński, Mariusz. (2011). Wstęp do sztucznej inteligencji. Jagiellonian Digital Library (Jagiellonian University). 1 indexed citations

Flasiński, Mariusz, et al.. (2010). On the use of graph parsing for recognition of isolated hand postures of Polish Sign Language. Pattern Recognition. 43(6). 2249–2264. 26 indexed citations

Flasiński, Mariusz. (2008). On the use of graph grammars for business process optimization. Homo Politicus (Academy of Humanities and Economics in Lodz). 29–37. 1 indexed citations

Flasiński, Mariusz. (2007). Inference of Parsable Graph Grammars for Syntactic Pattern Recognition. Fundamenta Informaticae. 80(4). 379–413. 7 indexed citations

Flasiński, Mariusz. (2004). Review of Medical image understanding technology - artificial intelligence and soft-computing for image understanding by Ryszard Tadeusiewicz, Marek R. Ogiela, Springer Verlag 2004. 13(3). 303–303. 12 indexed citations

10.

Flasiński, Mariusz, et al.. (1999). Dynamically programmed automata for quasi context sensitive languages as a tool for inference support in pattern recognition-based real-time control expert systems. Pattern Recognition. 32(4). 671–690. 14 indexed citations

11.

Flasiński, Mariusz, et al.. (1998). Parsing of random graph languages for automated inspection in statisfical-based quality assurance systems. 565–623. 2 indexed citations

12.

Flasiński, Mariusz. (1998). Power properties of NLC graph grammars with a polynomial membership problem. Theoretical Computer Science. 201(1-2). 189–231. 17 indexed citations

13.

Behrens, U., et al.. (1996). Recent developments of the ZEUS expert system ZEX. IEEE Transactions on Nuclear Science. 43(1). 65–65. 7 indexed citations

14.

Flasiński, Mariusz. (1995). Use of graph grammars for the description of mechanical parts. Computer-Aided Design. 27(6). 403–433. 16 indexed citations

15.

Behrens, U., Mariusz Flasiński, L. Hagge, & K. Ohrenberg. (1994). ZEX/spl minus/an expert system for ZEUS. IEEE Transactions on Nuclear Science. 41(1). 152–156. 3 indexed citations

16.

Flasiński, Mariusz. (1993). On the parsing of deterministic graph languages for syntactic pattern recognition. Pattern Recognition. 26(1). 1–16. 36 indexed citations

17.

Flasiński, Mariusz & Grzegorz Lewicki. (1991). The convergent method of constructing polynomial discriminant functions for pattern recognition. Pattern Recognition. 24(10). 1009–1015. 2 indexed citations

18.

Flasiński, Mariusz. (1990). Distorted pattern analysis with the help of node label controlled graph languages. Pattern Recognition. 23(7). 765–774. 11 indexed citations

19.

Flasiński, Mariusz. (1989). Characteristics of edNLC-graph grammar for syntactic pattern recognition. Computer Vision Graphics and Image Processing. 47(1). 1–21. 19 indexed citations

20.

Flasiński, Mariusz. (1988). Parsing of edNLC-graph grammars for scene analysis. Pattern Recognition. 21(6). 623–629. 23 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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