Csilla Farkas

2.1k total citations
102 papers, 1.1k citations indexed

About

Csilla Farkas is a scholar working on Soil Science, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Csilla Farkas has authored 102 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Soil Science, 27 papers in Artificial Intelligence and 24 papers in Civil and Structural Engineering. Recurrent topics in Csilla Farkas's work include Soil and Unsaturated Flow (24 papers), Soil Carbon and Nitrogen Dynamics (19 papers) and Access Control and Trust (17 papers). Csilla Farkas is often cited by papers focused on Soil and Unsaturated Flow (24 papers), Soil Carbon and Nitrogen Dynamics (19 papers) and Access Control and Trust (17 papers). Csilla Farkas collaborates with scholars based in Hungary, United States and Norway. Csilla Farkas's co-authors include Sushil Jajodia, Eszter Tóth, Alexander Brodsky, Györgyi Gelybó, Ágota Horel, Amit Jain, Zsófia Bakacsi, I Wayan Kasa, Marco Valtorta and Márta Birkáš and has published in prestigious journals such as Bioresource Technology, Water Resources Research and Information Sciences.

In The Last Decade

Csilla Farkas

96 papers receiving 1.0k citations

Peers

Csilla Farkas
Comparison fields: 5 of 105
  • Artificial Intelligence 373
  • Soil Science 298
  • Sociology and Political Science 215
  • Computer Networks and Communications 186
  • Civil and Structural Engineering 183
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Citations per field, relative to Csilla Farkas
Csilla Farkas · 1×
Citations per year, relative to Csilla Farkas
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Countries citing papers authored by Csilla Farkas

Since Specialization
Citations

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

Fields of papers citing papers by Csilla Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csilla Farkas

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 12
3 13
4 43
5
Service-Oriented Infrastructure: On-Premise and in the Cloud
0
6 3
7 16
8
A van Genuchten-függvény paramétereit átnézetes talajtérképi információ kból becslo módszerek összehasonlítása és továbbfejlesztésük lehetoségei
1
9
High volume web service resource consumption
6
10 31
11 11
12 7
13
An Algebra for Composing Ontologies
7
14
Securing uml information flow using flowuml
9
15 43
16 1
17
Specifying multimedia access control using RDF.
2
18 17
19
Changes in the surface properties of the young sieve roots after 24h aluminium stress
3
20
Impacts of soil structure on crop growth
5

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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