Gergely Palla

full professor

PhD (Eötvös Loránd University, Budapest, 2002)

Habilitation (Eötvös Loránd University, Budapest, 2018)

Doctor of HAS (2018)

Room(s): Lágymányos Campus, Northern Building Lágymányos Campus, Northern Building 3.90
Phone(s): +36-1-372-2768
Extension(s): +36-1-372-2500 / 6368
Email: uh.etle.ktt@ylegreg.allap

Biography:

Gergely Palla has received his PhD in 2002 at the Eötvös University, the topic of his thesis involved quantum chaos, semiclassical approximation and mesoscopic systems. From 2003 he worked in the research group at the Biological Physics Department (formerly the Biological Physics Research Group, at present the Statistical and Biological Physics Research Group) . His main field of interest concerns complex networks, with a special focus on topological phase transitions, community finding (also called as network clustering), the time evolution of communities and the studies of tagged networks. During his scientific carrier he received the following prizes:Young Scientist Prize of the Hung. Acad. of Sci. (2006), Bolyai Scholarship (2008), Imre Bródi Award (2009) , Junior Prima Award (2009), and the Award of the Hungarian Academy of Sciences (2019).

Links to associated scientific database profiles:

Publications in MTMT
Publications in ORCID
Publications in ResearcherID
Publications in Scopus
Publications in Google Scholar
User profile at doktori.hu

Selected publications of recent years:

Bogdán Asztalos, Gergely Palla, Dániel Czégel, Anomalous diffusion analysis of semantic evolution in major Indo-European languages, Plos ONE 19, e0298650 (2024). link
Aurel Prosz, Orsolya Pipek, Judit Börcsök, Gergely Palla, Zoltan Szallasi, Sandor Spisak, István Csabai, Biologically informed deep learning for explainable epigenetic clocks, Scientific Reports 14, 1306 (2024). link
Bianka Kovács, Sadamori Kojaku, Gergely Palla, Santo Fortunato, Iterative embedding and reweighting of complex networks reveals community structure, Scientific Reports 14, 17184 (2024). link
Bianka Kovács, Gergely Palla, Model-independent embedding of directed networks into Euclidean and hyperbolic spaces, Communications Physics 6, 28 (2023). link
Sámuel G Balogh, Bianka Kovács, Gergely Palla, Maximally modular structure of growing hyperbolic networks, Communications Physics 6, 76 (2024). link
Bianka Kovács, Sámuel G Balogh, Gergely Palla, Generalised popularity-similarity optimisation model for growing hyperbolic networks beyond two dimensions, Scientific Reports 12, 968 (2022). link
Gergely Palla, Péter Pollner, Judit Börcsök, András Major, Béla Molnár, István Csabai, Hierarchy and control of ageing-related methylation networks, PLoS Computational Biology 17, e1009327 (2021). link