Dávid Lányi

898 total citations
5 papers, 370 citations indexed

About

Dávid Lányi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Dávid Lányi has authored 5 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Dávid Lányi's work include Network Security and Intrusion Detection (2 papers), Computational Drug Discovery Methods (1 paper) and Peer-to-Peer Network Technologies (1 paper). Dávid Lányi is often cited by papers focused on Network Security and Intrusion Detection (2 papers), Computational Drug Discovery Methods (1 paper) and Peer-to-Peer Network Technologies (1 paper). Dávid Lányi collaborates with scholars based in Switzerland, United States and Brazil. Dávid Lányi's co-authors include Philippe Schwaller, Teodoro Laino, Théophile Gaudin, Costas Bekas, Matheus P. Viana, Maria Gabrani, D. Wiesmann, Ioana Giurgiu, Jasmina Bogojeska and J. M. Dias Pereira and has published in prestigious journals such as Chemical Science and IBM Journal of Research and Development.

In The Last Decade

Dávid Lányi

5 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dávid Lányi Switzerland	5	217	210	126	83	45	5	370
Shufang Xie China	14	107 0.5×	121 0.6×	119 0.9×	108 1.3×	29 0.6×	39	368
Pavel Karpov Russia	10	165 0.8×	247 1.2×	145 1.2×	76 0.9×	22 0.5×	22	427
Shanzhuo Zhang China	9	243 1.1×	280 1.3×	272 2.2×	84 1.0×	81 1.8×	14	656
Ben Liao China	6	297 1.4×	481 2.3×	350 2.8×	117 1.4×	27 0.6×	10	678
Zois Boukouvalas United States	10	297 1.4×	309 1.5×	198 1.6×	59 0.7×	84 1.9×	29	648
Oliver Wieder Austria	6	230 1.1×	311 1.5×	190 1.5×	67 0.8×	21 0.5×	9	462
Shoichi Ishida Japan	9	132 0.6×	141 0.7×	162 1.3×	63 0.8×	29 0.6×	23	339
Yongjian Li China	11	102 0.5×	239 1.1×	286 2.3×	42 0.5×	18 0.4×	43	525
Limeng Pu United States	12	65 0.3×	211 1.0×	215 1.7×	38 0.5×	54 1.2×	27	419
Inkit Padhi United States	7	138 0.6×	161 0.8×	125 1.0×	250 3.0×	9 0.2×	15	501

Countries citing papers authored by Dávid Lányi

Since Specialization

Citations

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

Fields of papers citing papers by Dávid Lányi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Lányi

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

Schwaller, Philippe, Théophile Gaudin, Dávid Lányi, Costas Bekas, & Teodoro Laino. (2018). “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models. Chemical Science. 9(28). 6091–6098. 289 indexed citations

2.

Lányi, Dávid, et al.. (2017). Wide residual networks for mitosis detection. 924–928. 41 indexed citations

3.

Giurgiu, Ioana, et al.. (2017). On the adoption and impact of predictive analytics for server incident reduction. IBM Journal of Research and Development. 61(1). 9:98–9:109. 10 indexed citations

4.

Bogojeska, Jasmina, et al.. (2014). Impact of HW and OS type and currency on server availability derived from problem ticket analysis. 1–9. 10 indexed citations

5.

Bogojeska, Jasmina, et al.. (2013). Classifying server behavior and predicting impact of modernization actions. 59–66. 20 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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