Matthis Ebel

817 total citations · 1 hit paper
4 papers, 214 citations indexed

About

Matthis Ebel is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Matthis Ebel has authored 4 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cognitive Neuroscience and 1 paper in Artificial Intelligence. Recurrent topics in Matthis Ebel's work include Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Functional Brain Connectivity Studies (1 paper). Matthis Ebel is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Functional Brain Connectivity Studies (1 paper). Matthis Ebel collaborates with scholars based in Germany, United States and New Zealand. Matthis Ebel's co-authors include Mario Stanke, Tomáš Brůna, Lars Gabriel, Katharina J. Hoff, Alexandre Lomsadze, Mark Borodovsky, Steffen Herbold, Joseph Guhlin, Heng Li and Natalia Nenasheva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genome Research and BMC Bioinformatics.

In The Last Decade

Matthis Ebel

4 papers receiving 214 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA

2024 172 citations Lars Gabriel, Tomáš Brůna et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthis Ebel Germany	3	113	84	52	36	19	4	214
Michael Paulini United Kingdom	4	165 1.5×	104 1.2×	56 1.1×	31 0.9×	37 1.9×	5	242
Uraiwan Arunyawat Thailand	5	108 1.0×	158 1.9×	127 2.4×	53 1.5×	18 0.9×	15	280
Nicole J. Forrester United States	8	139 1.2×	152 1.8×	51 1.0×	121 3.4×	19 1.0×	11	269
Sheng Zhu China	11	151 1.3×	182 2.2×	53 1.0×	24 0.7×	14 0.7×	35	296
Gemy Kaithakottil United Kingdom	7	165 1.5×	174 2.1×	52 1.0×	33 0.9×	30 1.6×	11	334
Mark Looseley United Kingdom	11	161 1.4×	238 2.8×	134 2.6×	60 1.7×	19 1.0×	19	401
Huiting Zhang United States	6	183 1.6×	312 3.7×	33 0.6×	103 2.9×	17 0.9×	14	372
Holger Zetzsche Germany	9	88 0.8×	153 1.8×	50 1.0×	58 1.6×	44 2.3×	14	254
Nanette Christie South Africa	9	118 1.0×	164 2.0×	58 1.1×	15 0.4×	16 0.8×	15	263

Countries citing papers authored by Matthis Ebel

Since Specialization

Citations

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

Fields of papers citing papers by Matthis Ebel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthis Ebel

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Gabriel, Lars, Tomáš Brůna, Katharina J. Hoff, et al.. (2024). BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA. Genome Research. 34(5). 769–777. 172 indexed citations breakdown →

2.

Ebel, Matthis, Martin Domín, Nicola Neumann, et al.. (2023). Classifying sex with volume-matched brain MRI. SHILAP Revista de lepidopterología. 3(3). 100181–100181. 5 indexed citations

3.

Brůna, Tomáš, Heng Li, Joseph Guhlin, et al.. (2023). Galba: genome annotation with miniprot and AUGUSTUS. BMC Bioinformatics. 24(1). 327–327. 35 indexed citations

4.

Ebel, Matthis, et al.. (2022). Global, highly specific and fast filtering of alignment seeds. BMC Bioinformatics. 23(1). 225–225. 2 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