Martin D. Muggli

402 total citations
10 papers, 165 citations indexed

About

Martin D. Muggli is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Martin D. Muggli has authored 10 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Plant Science. Recurrent topics in Martin D. Muggli's work include Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (3 papers) and DNA and Biological Computing (2 papers). Martin D. Muggli is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (3 papers) and DNA and Biological Computing (2 papers). Martin D. Muggli collaborates with scholars based in United States, Finland and Chile. Martin D. Muggli's co-authors include Christina Boucher, Simon J. Puglisi, Noelle Noyes, K. E. Belk, Paul S. Morley, Roy Ronen, Travis Gagie, Christina Boucher, Zaid Abdo and Leena Salmela and has published in prestigious journals such as Bioinformatics, Communications Biology and GigaScience.

In The Last Decade

Martin D. Muggli

10 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin D. Muggli United States	5	132	47	41	28	23	10	165
Antoine Limasset France	8	294 2.2×	100 2.1×	69 1.7×	29 1.0×	61 2.7×	14	335
Gaëtan Benoit France	4	138 1.0×	50 1.1×	13 0.3×	11 0.4×	53 2.3×	7	176
Roland Wittler Germany	8	120 0.9×	55 1.2×	53 1.3×	71 2.5×	7 0.3×	21	164
Alexander J. Ropelewski United States	9	116 0.9×	15 0.3×	13 0.3×	18 0.6×	12 0.5×	25	173
David Pellow Israel	8	165 1.3×	83 1.8×	11 0.3×	9 0.3×	50 2.2×	12	252
Scott Clark United States	3	123 0.9×	22 0.5×	33 0.8×	13 0.5×	36 1.6×	3	189
Hirokazu Chiba Japan	7	143 1.1×	23 0.5×	15 0.4×	18 0.6×	38 1.7×	17	175
Alex Patak Italy	10	199 1.5×	20 0.4×	111 2.7×	57 2.0×	28 1.2×	18	285
Rosangela Canino-Koning United States	4	183 1.4×	69 1.5×	26 0.6×	24 0.9×	69 3.0×	8	253

Countries citing papers authored by Martin D. Muggli

Since Specialization

Citations

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

Fields of papers citing papers by Martin D. Muggli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin D. Muggli. 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 Martin D. Muggli. The network helps show where Martin D. Muggli may publish in the future.

Co-authorship network of co-authors of Martin D. Muggli

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

All Works

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10 of 10 papers shown

1.

Muggli, Martin D., et al.. (2020). Metagenome SNP calling via read-colored de Bruijn graphs. Bioinformatics. 36(22-23). 5275–5281. 4 indexed citations

2.

Muggli, Martin D., et al.. (2019). Building large updatable colored de Bruijn graphs via merging. Bioinformatics. 35(14). i51–i60. 23 indexed citations

3.

Lakin, Steven M., Alan Kuhnle, Noelle Noyes, et al.. (2019). Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Communications Biology. 2(1). 294–294. 30 indexed citations

4.

Salmela, Leena, et al.. (2019). Fast and accurate correction of optical mapping data via spaced seeds. Bioinformatics. 36(3). 682–689. 2 indexed citations

5.

Muggli, Martin D., Simon J. Puglisi, & Christina Boucher. (2019). Kohdista: an efficient method to index and query possible Rmap alignments. Algorithms for Molecular Biology. 14(1). 25–25. 4 indexed citations

6.

Muggli, Martin D., et al.. (2018). Error correcting optical mapping data. GigaScience. 7(6). 11 indexed citations

7.

Muggli, Martin D., Simon J. Puglisi, & Christina Boucher. (2018). A Succinct Solution to Rmap Alignment. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 16. 4 indexed citations

8.

Muggli, Martin D., Noelle Noyes, Paul S. Morley, et al.. (2017). Succinct colored de Bruijn graphs. Bioinformatics. 33(20). 3181–3187. 54 indexed citations

9.

Salmela, Leena, et al.. (2017). Disentangled Long-Read De Bruijn Graphs via Optical Maps. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 88(88). 14. 3 indexed citations

10.

Muggli, Martin D., Simon J. Puglisi, Roy Ronen, & Christina Boucher. (2015). Misassembly detection using paired-end sequence reads and optical mapping data. Bioinformatics. 31(12). i80–i88. 30 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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