Nycz M., Nycz T., Czachórski T.  2015.  An analysis of the extracted parts of Opte Internet topology.. Computer Networks. :371–381.

Czachórski T.  2015.  Analytic Methods in Interdisciplinary Applications.

Domańska J, Domański A, Czachórski T.  2015.  Estimating the intensity of long-range dependence in real and synthetic traffic traces.. Computer Networks. :11–22.

Domańska J, Domański A, Czachórski T.  2014.  A few investigations of long-range dependence in network traffic. Information Science and Systems 2014. :137–144.

Domańska J, Domański A, Czachórski T.  2014.  A few investigations of long-range dependence in network traffic. Information Science and Systems 2014. :137–144.

Domańska J, Domański A, Czachórski T, Klamka J.  2014.  Flluid flow approximation of time-limited TCP/UDP/XCP streams.. Bulletin of the Polish Academy of Sciences Technical Sciences. 62:217–225.

Skabek K, Płoszaj P..  2014.  Implementation of registration algorithms for multiple views. Man-Machine Interacions 3. :315–323.

Atmaca T., Czachórski T, Grochla K, Nycz T., Pekergin F.  2014.  A model of boot-up storm dynamics. Computer and Information Sciences III. :371–379.

Domańska J, Domański A, Czachórski T.  2014.  Modeling Packet Traffic with the Use of Superpositions of Two-State MMPPs. Computer Networks. :24–36.

Czachórski T, Nycz M., Nycz T..  2014.  Modelling Transient States in Queueing Models of Computer Networks: A Few Practical Issues. Distributed Computer and Communication Networks. :58–72.

Nycz T., Nycz M., Czachórski T.  2014.  A Numerical Comparison of Diffusion and Fluid-Flow Approximations Used in Modelling Transient States of TCP/IP Networks.. Computer Networks. :213–222.

[Anonim].  2014.  Quantum Queuing Networks Throughput Optimisation.

Czachórski T, Nycz T., Nycz M., Pekergin F.  2014.  Traffic Engineering: Erlang and Engset Models Revisited with Diffusion Approximation. Information Sciences and Systems 2014. :249–256.

Czachórski T, Nycz T., Nycz M., Pekergin F.  2014.  Traffic Engineering: Erlang and Engset Models Revisited with Diffusion Approximation. Information Sciences and Systems 2014. :249–256.

Kowalski P, Pojda D.  2014.  Visualization of heterogenic images of 3D scene. Man-Machine Interacions 3. :291–297.

Czachórski T, Nycz M., Nycz T., Pekergin F.  2013.  Analytical and numerical means to model transient states in computer networks. Computer Networks. :426–435.

Domański A, Domańska J, Czachórski T.  2013.  Comparison of CHOKe and gCHOKe active queues managemant algirithms with the use of fluid flow approximation.. Computer Networks. :363–371.

Domańska J, Domański A, Czachórski T.  2013.  Fluid Flow Analysis of RED Algorithm with Modified Weighted Moving Average. Modern Probabilistic Methods for analysis of Telecommunication Networks. :50–58.

Domański A, Domańska J, Czachórski T.  2013.  GCU-Accelerated fluid flow approximation of the Active Queues Management algorithms. Theoretical and Applied Informatics. 25:93–104.

Domański A, Domańska J, Czachórski T.  2013.  Internet in the Information Society Computer Systems Architecture and Security.

Czachórski T.  2013.  Modelling and controlling dynamics of Internet flows.. Proc. Intellectual systems of decision-making and problems of computational intelligence.

Czachórski T.  2013.  Modelling transient states in queueing models of computer networks: a few practical issues. Proceedings of the International Conference Distributed Computer and Communication networks: Control, Computation, Communications. :27–28.

Czachórski T.  2013.  Queueing models: transient state analysis applied to performance evaluation of computer networks.. Abstracts 9th International ISAAC Congress. :5–6.

Czachórski T.  2013.  Transient queueing models applied to performance evaluation of computer networks.. Proc. Third International Conference of Gwalior Academy of Mathematical Sciences (GAMS) on Mathematical, Computational and Integrative Sciences.

Nycz T., Czachórski T.  2012.  Badanie skalowalności modeli sieci komputerowych wykorzystujących aproksymację dyfuzyjną wraz ze zwiększeniem rozmiaru modelowanej sieci. Studoa Informatica. 33:63–78.