Zsolt Talata

434 total citations
13 papers, 238 citations indexed

About

Zsolt Talata is a scholar working on Artificial Intelligence, Computer Networks and Communications and Mathematical Physics. According to data from OpenAlex, Zsolt Talata has authored 13 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Mathematical Physics. Recurrent topics in Zsolt Talata's work include Algorithms and Data Compression (11 papers), Bayesian Methods and Mixture Models (7 papers) and Machine Learning and Algorithms (3 papers). Zsolt Talata is often cited by papers focused on Algorithms and Data Compression (11 papers), Bayesian Methods and Mixture Models (7 papers) and Machine Learning and Algorithms (3 papers). Zsolt Talata collaborates with scholars based in United States, Hungary and Japan. Zsolt Talata's co-authors include Imre Csiszár, Michael S. Detamore, Stevin H. Gehrke, Tyrone E. Duncan, Adam J. Mellott, M. Laird Forrest, Sumihare Noji, Keerthana Devarajan, Hinrich Staecker and Heather Shinogle and has published in prestigious journals such as Biomaterials, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

Zsolt Talata

13 papers receiving 227 citations

Peers

Zsolt Talata

AI

BE

MB

SP

MM

Jingyu Shao Australia

Yang Ai China

Damian Ledziński Poland

Masaaki Nishino Japan

Zhijie Deng China

Lukáš Kroc United States

Chon Lok Lei United Kingdom

Atsushi Miyauchi Japan

Jonghwan Mun South Korea

Xuefeng Jiang China

Jingyu Shao Australia

Zsolt Talata

37 ×0.3

AI

35 ×0.8

BE

66 ×1.8

MB

0 ×0.0

SP

5 ×0.2

MM

Citations per year, relative to Zsolt Talata Zsolt Talata (= 1×) peers Jingyu Shao

Countries citing papers authored by Zsolt Talata

Since Specialization

Citations

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

Fields of papers citing papers by Zsolt Talata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsolt Talata

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Kim, Hee Sun & Zsolt Talata. (2016). Context Set Weighting method. 1222–1226. 1 indexed citations

2.

Mellott, Adam J., Keerthana Devarajan, Heather Shinogle, et al.. (2015). Nonviral Reprogramming of Human Wharton's Jelly Cells Reveals Differences Between ATOH1 Homologues. Tissue Engineering Part A. 21(11-12). 1795–1809. 12 indexed citations

3.

Talata, Zsolt. (2014). Markov neighborhood estimation with linear complexity for random fields. 2. 3042–3046. 1 indexed citations

4.

Talata, Zsolt, et al.. (2013). Tuning mechanical performance of poly(ethylene glycol) and agarose interpenetrating network hydrogels for cartilage tissue engineering. Biomaterials. 34(33). 8241–8257. 65 indexed citations

5.

Talata, Zsolt & Tyrone E. Duncan. (2011). BIC Context Tree Estimation for Stationary Ergodic Processes. IEEE Transactions on Information Theory. 57(6). 3877–3886. 1 indexed citations

6.

Csiszár, Imre & Zsolt Talata. (2010). On Rate of Convergence of Statistical Estimation of Stationary Ergodic Processes. IEEE Transactions on Information Theory. 56(8). 3637–3641. 8 indexed citations

7.

Talata, Zsolt. (2010). Divergence of information-criterion based Markov order estimators for infinite memory processes. 9. 1378–1382. 2 indexed citations

8.

Talata, Zsolt & Tyrone E. Duncan. (2009). Unrestricted BIC context tree estimation for not necessarily finite memory processes. 724–728. 2 indexed citations

9.

Csiszár, Imre & Zsolt Talata. (2006). Context tree estimation for not necessarily finite memory processes, via BIC and MDL. IEEE Transactions on Information Theory. 52(3). 1007–1016. 99 indexed citations

10.

Csiszár, Imre & Zsolt Talata. (2006). Consistent estimation of the basic neighborhood of Markov random fields. The Annals of Statistics. 34(1). 28 indexed citations

11.

Talata, Zsolt. (2005). Model selection via information criteria. Periodica Mathematica Hungarica. 51(1). 99–117. 4 indexed citations

12.

Csiszár, Imre & Zsolt Talata. (2005). Context tree estimation for not necessarily finite memory processes, via BIC and MDL. 27. 755–759. 14 indexed citations

13.

Csiszár, Imre & Zsolt Talata. (2004). Consistent estimation of the basic neighborhood of markov random fields. 167–167. 1 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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