Ernst C. Wit

4.6k total citations
136 papers, 2.7k citations indexed

About

Ernst C. Wit is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Ernst C. Wit has authored 136 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 23 papers in Statistics and Probability and 18 papers in Artificial Intelligence. Recurrent topics in Ernst C. Wit's work include Gene Regulatory Network Analysis (31 papers), Gene expression and cancer classification (23 papers) and Bioinformatics and Genomic Networks (18 papers). Ernst C. Wit is often cited by papers focused on Gene Regulatory Network Analysis (31 papers), Gene expression and cancer classification (23 papers) and Bioinformatics and Genomic Networks (18 papers). Ernst C. Wit collaborates with scholars based in Netherlands, Switzerland and United Kingdom. Ernst C. Wit's co-authors include John McClure, Raya Khanin, Edwin R. van den Heuvel, Jan‐Willem Romeijn, Matthias Heinemann, Fentaw Abegaz, Shane M. Meehan, Mark Haas, Benjamin H. Spargo and Veronica Vinciotti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Bioinformatics.

In The Last Decade

Ernst C. Wit

127 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ernst C. Wit Netherlands 25 1.0k 281 274 222 210 136 2.7k
Ying Ding United States 38 1.7k 1.6× 274 1.0× 179 0.7× 310 1.4× 254 1.2× 202 4.4k
Jie Peng China 24 964 0.9× 192 0.7× 325 1.2× 265 1.2× 97 0.5× 115 2.6k
Benjamin L. King United States 34 2.5k 2.4× 247 0.9× 96 0.4× 538 2.4× 166 0.8× 95 5.1k
Mahlet G. Tadesse United States 31 1.3k 1.2× 430 1.5× 297 1.1× 266 1.2× 129 0.6× 95 3.6k
M. J. Faddy Australia 38 838 0.8× 234 0.8× 448 1.6× 507 2.3× 154 0.7× 119 5.4k
Holger Fröhlich Germany 35 2.2k 2.1× 599 2.1× 55 0.2× 293 1.3× 227 1.1× 180 4.3k
Juliane Schäfer Switzerland 22 1.3k 1.2× 218 0.8× 349 1.3× 221 1.0× 82 0.4× 51 3.0k
Jie Chen China 32 2.2k 2.1× 452 1.6× 797 2.9× 629 2.8× 160 0.8× 205 6.4k
Arnoldo Frigessi Norway 30 955 0.9× 501 1.8× 732 2.7× 410 1.8× 218 1.0× 121 4.5k
Anna Goldenberg Canada 32 2.4k 2.3× 1.1k 3.9× 119 0.4× 310 1.4× 226 1.1× 128 5.9k

Countries citing papers authored by Ernst C. Wit

Since Specialization
Citations

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

Fields of papers citing papers by Ernst C. Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ernst C. Wit. 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 Ernst C. Wit. The network helps show where Ernst C. Wit may publish in the future.

Co-authorship network of co-authors of Ernst C. Wit

This figure shows the co-authorship network connecting the top 25 collaborators of Ernst C. Wit. A scholar is included among the top collaborators of Ernst C. Wit 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 Ernst C. Wit. Ernst C. Wit 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
1.
Wit, Ernst C., et al.. (2025). Mixed additive modelling of global alien species co-invasions of plants and insects. Journal of the Royal Statistical Society Series C (Applied Statistics). 75(1). 57–78. 1 indexed citations
2.
Wit, Ernst C., et al.. (2025). Goodness of fit in relational event models. Statistics and Computing. 36(1).
3.
Wit, Ernst C., et al.. (2024). Modeling non-linear effects with neural networks in Relational Event Models. Social Networks. 79. 25–33.
4.
Wit, Ernst C., et al.. (2024). Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models. Psychometrika. 89(1). 151–171. 3 indexed citations
5.
Wit, Ernst C., et al.. (2024). It’s about time: revisiting reciprocity and triadicity in relational event analysis. Journal of the Royal Statistical Society Series A (Statistics in Society). 188(4). 1246–1262. 1 indexed citations
6.
Vinciotti, Veronica, et al.. (2024). Random Graphical Model of Microbiome Interactions in Related Environments. Journal of Agricultural Biological and Environmental Statistics. 31(1). 46–59. 3 indexed citations
7.
Arends, Danny, et al.. (2023). netgwas: An R Package for Network-Based Genome Wide Association Studies. The R Journal. 14(4). 18–37. 4 indexed citations
8.
Mira, Antonietta, et al.. (2023). A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy. Statistical Methods & Applications. 33(2). 635–659. 1 indexed citations
9.
Seebens, Hanno, et al.. (2023). Analysing ecological dynamics with relational event models: The case of biological invasions. Diversity and Distributions. 29(10). 1208–1225. 7 indexed citations
10.
Wood, Simon N. & Ernst C. Wit. (2021). Was R < 1 before the English lockdowns? On modelling mechanistic detail, causality and inference about Covid-19. PLoS ONE. 16(9). e0257455–e0257455. 11 indexed citations
11.
Kruijer, Willem, Daniela Bustos‐Korts, María Xosé Rodríguez‐Álvarez, et al.. (2020). Reconstruction of Networks with Direct and Indirect Genetic Effects. Genetics. 214(4). 781–807. 9 indexed citations
12.
Vinciotti, Veronica, et al.. (2020). How rare are power-law networks really?. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 476(2241). 20190742–20190742. 17 indexed citations
13.
Wit, Ernst C., et al.. (2017). Comparison of two inference approaches in Gaussian graphical models. Turkish Journal of Biochemistry. 42(2). 203–211. 1 indexed citations
14.
Wit, Ernst C., et al.. (2015). BDgraph: Bayesian Structure Learning of Graphs in R. arXiv (Cornell University). 1 indexed citations
15.
Wieling, Martijn, et al.. (2014). Social, geographical, and lexical influence on Dutch dialect pronunciations. University of Groningen research database (University of Groningen / Centre for Information Technology). 4. 29–38. 1 indexed citations
16.
Wit, Ernst C.. (2012). Learning and Inference in Computational Systems Biology. Biometrics. 68(1). 1 indexed citations
17.
Khanin, Raya & Ernst C. Wit. (2006). How Scale-Free Are Biological Networks. Journal of Computational Biology. 13(3). 810–818. 159 indexed citations
18.
Dennis, Jayne L., Torgeir R. Hvidsten, Ernst C. Wit, et al.. (2005). Markers of Adenocarcinoma Characteristic of the Site of Origin: Development of a Diagnostic Algorithm. Clinical Cancer Research. 11(10). 3766–3772. 225 indexed citations
19.
Copas, J. B., Shinto Eguchi, Helen Parker, et al.. (2005). Local model uncertainty and incomplete-data bias. University of Groningen research database (University of Groningen / Centre for Information Technology). 5 indexed citations
20.
Wit, Ernst C. & John McClure. (2004). Statistics for Microarrays : Design, Analysis and Inference. Lancaster EPrints (Lancaster University). 127 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ying Ding Breakdown of academic impact, for papers by Jie Peng Breakdown of academic impact, for papers by Benjamin L. King Breakdown of academic impact, for papers by Mahlet G. Tadesse Breakdown of academic impact, for papers by M. J. Faddy Breakdown of academic impact, for papers by Holger Fröhlich Breakdown of academic impact, for papers by Juliane Schäfer Breakdown of academic impact, for papers by Jie Chen Breakdown of academic impact, for papers by Arnoldo Frigessi Breakdown of academic impact, for papers by Anna Goldenberg
Rankless by CCL
2026