Gábor Csárdi

15.4k citations
21 papers · 8.8k indexed · 2 hit papers · h-index 10

Impact in

Papers in

Gábor Csárdi

20 papers receiving 8.6k citations

Hit Papers

The evolution of gene expression levels in mammalian organs 2011 · 844 citations
84420062026201220192.0k4.0k6.0k

Peers

Gábor Csárdi
Comparison fields: 5 of 221
  • Developmental Biology 154
  • Statistical and Nonlinear Physics 850
  • Ecology 1.5k
  • Ecology, Evolution, Behavior and Systematics 871
  • Molecular Biology 3.0k
Replace Tamás Nepusz with:
Tamás Nepusz United Kingdom
Carl T. Bergstrom United States
Richard W. James Switzerland
Joshua B. Plotkin United States
Ricard V. Solé Spain
Cedric E. Ginestet United Kingdom
Sébastien Heymann France
Mathieu Jacomy France
Matthew C. Wiener United States
Frederic Bartumeus Spain
Gábor Csárdi relative to Tamás Nepusz United Kingdom Tamás Nepusz's profile →
Citations per field
00.5×1.5×
Tamás Nepusz · 1×
Citations per year

Countries citing papers authored by Gábor Csárdi

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Csárdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gábor Csárdi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gábor Csárdi Line = papers co-authored together Gábor Csárdi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20239
2
Statistical Analysis of Network Data with R, 2nd Edition [R package sand version 2.0.0]
20201
3 202039
4
In-Line Documentation for R [R package roxygen2 version 7.1.1]
20201
5
R Package Installation from Remote Repositories, Including 'GitHub' [R package remotes version 2.2.0]
20203
6 2015130
7 20146
8 2014270
9 201227
10 201129
11
The evolution of gene expression levels in mammalian organs
Hit paper breakdown →
2011844
12 20104
13 201036
14
Patent Citation Networks Revisited: Signs of a Twenty-First Century Change
20097
15
Patent Citation Networks Revisited: Signs of a Twenty-First Century Change?
20097
16 200632
17
The igraph software package for complex network research
Hit paper breakdown →
20067300
18
Patent Citation Networks
20052
19 200310
20 20039

About Gábor Csárdi

Gábor Csárdi is a scholar working on Statistical and Nonlinear Physics, Management of Technology and Innovation, Developmental Neuroscience, Experimental and Cognitive Psychology and Information Systems and Management, having authored 21 papers that have together received 8.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (3 papers), Opinion Dynamics and Social Influence (3 papers), Innovation Policy and R&D (2 papers), Intellectual Property and Patents (2 papers), Fungal and yeast genetics research (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Developmental Biology (154 citations), Statistical and Nonlinear Physics (850 citations), Ecology (1.5k citations), Ecology, Evolution, Behavior and Systematics (871 citations) and Molecular Biology (3.0k citations). Gábor Csárdi has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Tamás Nepusz, Eric D. Kolaczyk, Sven Bergmann, Manuela Weier, David Brawand, Anamaria Necşulea, Frank W. Albert, Patrick Harrigan, Frank Grützner and Svante Pääbo. Their work appears in journals such as Bioinformatics, PLoS Genetics, Physica A Statistical Mechanics and its Applications, Nature and Journal of the American Statistical Association.

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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