István Hegedűs

934 total citations
29 papers, 357 citations indexed

About

István Hegedűs is a scholar working on Artificial Intelligence, Computer Networks and Communications and Civil and Structural Engineering. According to data from OpenAlex, István Hegedűs has authored 29 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Civil and Structural Engineering. Recurrent topics in István Hegedűs's work include Data Stream Mining Techniques (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). István Hegedűs is often cited by papers focused on Data Stream Mining Techniques (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). István Hegedűs collaborates with scholars based in Hungary, France and Germany. István Hegedűs's co-authors include Márk Jelasity, Róbert Ormándi, Gábor Danner, László P. Kollár, András A. Benczúr, Levente Kocsis, Ákos Kiss, Balázs Szörényi, Balázs Kégl and Róbert Busa‐Fekete and has published in prestigious journals such as Engineering Structures, Knowledge-Based Systems and Journal of Composite Materials.

In The Last Decade

István Hegedűs

28 papers receiving 341 citations

Peers

István Hegedűs

CNC

EEE

CSE

Debin Liu China

Shaojie Yang China

Xihui Chen Luxembourg

Valentina Poggioni Italy

Zhuzhu Wang China

Resul Kara Türkiye

Shuyi Lin China

Wei Tong China

Yahui Wu China

Debin Liu China

István Hegedűs

127 ×0.6

74 ×0.7

CNC

42 ×1.0

EEE

27 ×0.7

CSE

122 ×3.0

Citations per year, relative to István Hegedűs István Hegedűs (= 1×) peers Debin Liu

Countries citing papers authored by István Hegedűs

Since Specialization

Citations

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

Fields of papers citing papers by István Hegedűs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Hegedűs

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

Hegedűs, István, et al.. (2023). Privacy-preserving Federated Learning and its application to natural language processing. Knowledge-Based Systems. 268. 110475–110475. 34 indexed citations

Danner, Gábor, et al.. (2022). Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification. SZTE Publicatio Repozitórium (University of Szeged). 51–62. 2 indexed citations

Hegedűs, István, et al.. (2021). Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. SZTE Publicatio Repozitórium (University of Szeged). 119. 1–8. 1 indexed citations

Hegedűs, István, et al.. (2020). Attacking Model Sets with Adversarial Examples.. SZTE Publicatio Repozitórium (University of Szeged). 1–6. 1 indexed citations

Hegedűs, István, et al.. (2020). Adversarial Robustness of Model Sets. SZTE Publicatio Repozitórium (University of Szeged). 1–8. 1 indexed citations

Hegedűs, István & Márk Jelasity. (2017). Differentially Private Linear Models for Gossip Learning through Data Perturbation. SZTE Publicatio Repozitórium (University of Szeged). 3(1). 62–74. 1 indexed citations

Hegedűs, István, et al.. (2016). Robust Decentralized Differentially Private Stochastic Gradient Descent. SZTE Publicatio Repozitórium (University of Szeged). 3 indexed citations

Hegedűs, István, et al.. (2016). Determination of the Punching Cross-Section of Reinforced Concrete Flat Slabs. Periodica Polytechnica Civil Engineering. 405–411. 1 indexed citations

Hegedűs, István & Márk Jelasity. (2016). Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study. SZTE Publicatio Repozitórium (University of Szeged). 566–573. 7 indexed citations

10.

Hegedűs, István, et al.. (2016). Robust Decentralized Low-Rank Matrix Decomposition. ACM Transactions on Intelligent Systems and Technology. 7(4). 1–24. 18 indexed citations

11.

Hegedűs, István, et al.. (2014). Lightning Fast Asynchronous Distributed K-Means Clustering. SZTE Publicatio Repozitórium (University of Szeged). 2 indexed citations

12.

Hegedűs, István, Márk Jelasity, Levente Kocsis, & András A. Benczúr. (2014). Fully distributed robust singular value decomposition. SZTE Publicatio Repozitórium (University of Szeged). 1–9. 5 indexed citations

13.

Szörényi, Balázs, Róbert Busa‐Fekete, István Hegedűs, et al.. (2013). Gossip-based distributed stochastic bandit algorithms. SPIRE - Sciences Po Institutional REpository. 28. 19–27. 22 indexed citations

14.

Hegedűs, István, Róbert Ormándi, & Márk Jelasity. (2013). MASSIVELY DISTRIBUTED CONCEPT DRIFT HANDLING IN LARGE NETWORKS. Advances in Complex Systems. 16(04n05). 1350021–1350021. 2 indexed citations

15.

Hegedűs, István, Róbert Ormándi, Richárd Farkas, & Márk Jelasity. (2010). Novel balanced feature representation for wikipedia vandalism detection task: Lab report for PAN at CLEF 2010. 1 indexed citations

16.

Hegedűs, István, et al.. (2010). Simulating and monitoring the resonant frequency of MEMS for failure detection and prediction. 1–5. 2 indexed citations

17.

Hegedűs, István, et al.. (2005). FREE VIBRATIONS OF A PARABOLOID SHELL. Periodica Polytechnica Civil Engineering. 49(1). 13–26. 2 indexed citations

18.

Hegedűs, István. (1993). Branching of Equilibrium Paths in a Deployable Column. International Journal of Space Structures. 8(1-2). 119–125. 2 indexed citations

19.

Hegedűs, István. (1987). Analysis of Lattice Single Layer Cylindrical Structures. International Journal of Space Structures. 2(2). 87–91. 9 indexed citations

20.

Kollár, László P. & István Hegedűs. (1985). Analysis and design of space frames by the continuum method. REAL-EOD (Library of the Hungarian Academy of Sciences and the Information Center Oriental Collection). 27 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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