Gábor Danner

487 total citations
5 papers, 108 citations indexed

About

Gábor Danner is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Gábor Danner has authored 5 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in Sociology and Political Science. Recurrent topics in Gábor Danner's work include Peer-to-Peer Network Technologies (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Complex Network Analysis Techniques (1 paper). Gábor Danner is often cited by papers focused on Peer-to-Peer Network Technologies (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Complex Network Analysis Techniques (1 paper). Gábor Danner collaborates with scholars based in Hungary. Gábor Danner's co-authors include Márk Jelasity and István Hegedűs and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Security and Communication Networks and IEEE Transactions on Computational Intelligence and AI in Games.

In The Last Decade

Gábor Danner

5 papers receiving 107 citations

Peers

Gábor Danner

AI

CNC

EEE

IS

CSA

Sébastien Rouault Switzerland

Kunli Zhang China

Vegard Engen United Kingdom

Dai Ikarashi Japan

Kathrin Grosse Switzerland

Nathan Korda United Kingdom

Abhishek Singh India

Haoxuan Che Hong Kong

P. Nowakowski Poland

Sébastien Rouault Switzerland

Gábor Danner

127 ×1.6

AI

28 ×0.8

CNC

19 ×0.9

EEE

20 ×1.2

IS

8 ×0.8

CSA

Citations per year, relative to Gábor Danner Gábor Danner (= 1×) peers Sébastien Rouault

Countries citing papers authored by Gábor Danner

Since Specialization

Citations

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

Fields of papers citing papers by Gábor Danner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Danner

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

All Works

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5 of 5 papers shown

1.

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

2.

Hegedűs, István, Gábor Danner, & Márk Jelasity. (2020). Decentralized learning works: An empirical comparison of gossip learning and federated learning. Journal of Parallel and Distributed Computing. 148. 109–124. 94 indexed citations

3.

Danner, Gábor & Márk Jelasity. (2018). Token Account Algorithms: The Best of the Proactive and Reactive Worlds. SZTE Publicatio Repozitórium (University of Szeged). 7700. 885–895. 2 indexed citations

4.

Danner, Gábor, et al.. (2018). Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation. Security and Communication Networks. 2018. 1–15. 6 indexed citations

5.

Danner, Gábor, et al.. (2015). Calculating Ultrastrong and Extended Solutions for Nine Men’s Morris, Morabaraba, and Lasker Morris. IEEE Transactions on Computational Intelligence and AI in Games. 8(3). 256–267. 4 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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