Bernard Koch

950 total citations · 1 hit paper
10 papers, 627 citations indexed

About

Bernard Koch is a scholar working on Paleontology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Bernard Koch has authored 10 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Paleontology, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Bernard Koch's work include Marine Invertebrate Physiology and Ecology (3 papers), Advanced Causal Inference Techniques (2 papers) and Protist diversity and phylogeny (2 papers). Bernard Koch is often cited by papers focused on Marine Invertebrate Physiology and Ecology (3 papers), Advanced Causal Inference Techniques (2 papers) and Protist diversity and phylogeny (2 papers). Bernard Koch collaborates with scholars based in United States, United Kingdom and Sweden. Bernard Koch's co-authors include Andreas D. Baxevanis, Joseph F. Ryan, Christine E. Schnitzler, Tyra G. Wolfsberg, R. Travis Moreland, Mark Q. Martindale, Casey W. Dunn, Steven H. D. Haddock, Nicholas H. Putnam and Kevin Pang and has published in prestigious journals such as Science, PLoS ONE and BMC Genomics.

In The Last Decade

Bernard Koch

10 papers receiving 620 citations

Hit Papers

The Genome of the Ctenophore Mnemiopsis leidyi and Its Im... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Koch United States 7 335 325 125 102 92 10 627
R. Travis Moreland United States 10 360 1.1× 427 1.3× 133 1.1× 117 1.1× 91 1.0× 15 706
David K. Simmons United States 8 426 1.3× 406 1.2× 154 1.2× 109 1.1× 103 1.1× 8 710
Eduard Renfer Norway 7 422 1.3× 400 1.2× 258 2.1× 60 0.6× 58 0.6× 9 653
Michael Kroiher Germany 15 275 0.8× 296 0.9× 154 1.2× 69 0.7× 69 0.8× 28 703
Paul Simion France 11 241 0.7× 366 1.1× 182 1.5× 182 1.8× 110 1.2× 12 738
Arnaud Di Franco France 5 172 0.5× 249 0.8× 76 0.6× 112 1.1× 94 1.0× 5 455
Jean Vacelet France 5 337 1.0× 284 0.9× 190 1.5× 114 1.1× 240 2.6× 5 652
Fabian Schreiber Germany 9 385 1.1× 488 1.5× 176 1.4× 182 1.8× 173 1.9× 12 866
Federico Gaiti Australia 11 115 0.3× 424 1.3× 53 0.4× 78 0.8× 52 0.6× 22 615
Patrick M. Burton United States 6 334 1.0× 270 0.8× 252 2.0× 46 0.5× 60 0.7× 8 522

Countries citing papers authored by Bernard Koch

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Koch

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

All Works

10 of 10 papers shown
1.
Panofsky, Aaron, et al.. (2024). Confronting the “Weaponization” of Genetics by Racists Online and Elsewhere. The Hastings Center Report. 54(S2). S14–S21. 3 indexed citations
2.
Koch, Bernard, et al.. (2024). A Primer on Deep Learning for Causal Inference. Sociological Methods & Research. 54(2). 397–447. 4 indexed citations
3.
Brand, Jennie E., et al.. (2021). Uncovering Sociological Effect Heterogeneity Using Tree-Based Machine Learning. Sociological Methodology. 51(2). 189–223. 25 indexed citations
4.
Jiang, Song, Bernard Koch, & Yizhou Sun. (2021). HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. 3158–3167. 22 indexed citations
5.
Koch, Bernard, Emily Denton, Alex Hanna, & Jacob G. Foster. (2021). Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. arXiv (Cornell University). 6 indexed citations
6.
Gjesfjeld, Erik, Daniele Silvestro, Jonathan L. Chang, et al.. (2020). A quantitative workflow for modeling diversification in material culture. PLoS ONE. 15(2). e0227579–e0227579. 10 indexed citations
7.
Koch, Bernard, Christine E. Schnitzler, Jonathan Q. Henry, et al.. (2017). The maternal‐zygotic transition and zygotic activation of the Mnemiopsis leidyi genome occurs within the first three cleavage cycles. Molecular Reproduction and Development. 84(11). 1218–1229. 8 indexed citations
8.
Moreland, R. Travis, Anh‐Dao Nguyen, Joseph F. Ryan, et al.. (2014). A customized Web portal for the genome of the ctenophore Mnemiopsis leidyi. BMC Genomics. 15(1). 316–316. 21 indexed citations
9.
Ryan, Joseph F., Kevin Pang, Christine E. Schnitzler, et al.. (2013). The Genome of the Ctenophore Mnemiopsis leidyi and Its Implications for Cell Type Evolution. Science. 342(6164). 1242592–1242592. 487 indexed citations breakdown →
10.
Koch, Bernard, Joseph F. Ryan, & Andreas D. Baxevanis. (2012). The Diversification of the LIM Superclass at the Base of the Metazoa Increased Subcellular Complexity and Promoted Multicellular Specialization. PLoS ONE. 7(3). e33261–e33261. 41 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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