Markus E. Nebel

2.7k total citations · 1 hit paper
50 papers, 1.8k citations indexed

About

Markus E. Nebel is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Markus E. Nebel has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Artificial Intelligence and 16 papers in Computational Theory and Mathematics. Recurrent topics in Markus E. Nebel's work include RNA and protein synthesis mechanisms (19 papers), Algorithms and Data Compression (15 papers) and RNA Research and Splicing (14 papers). Markus E. Nebel is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), Algorithms and Data Compression (15 papers) and RNA Research and Splicing (14 papers). Markus E. Nebel collaborates with scholars based in Germany, Denmark and United States. Markus E. Nebel's co-authors include Thorsten Stoeck, Richard Christen, Thomas A. Richards, David Bass, Hans‐Werner Breiner, Meredith D. M. Jones, Anke Behnke, Rolf Klein, M. Sabine Engel and Sebastian Wild and has published in prestigious journals such as Bioinformatics, Molecular Ecology and BMC Bioinformatics.

In The Last Decade

Markus E. Nebel

49 papers receiving 1.7k citations

Hit Papers

Multiple marker parallel tag environmental DNA sequencing... 2010 2026 2015 2020 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus E. Nebel Germany 12 1.2k 1.1k 289 131 125 50 1.8k
Jason M. Wood United States 16 564 0.5× 562 0.5× 58 0.2× 90 0.7× 79 0.6× 49 1.3k
Ming Cong China 25 321 0.3× 315 0.3× 266 0.9× 40 0.3× 119 1.0× 73 1.5k
Peter M. Rice United States 11 449 0.4× 855 0.8× 7 0.0× 58 0.4× 492 3.9× 17 1.8k
Tim Booth United Kingdom 7 209 0.2× 350 0.3× 94 0.3× 21 0.2× 167 1.3× 13 745
Sen‐Lin Tang Taiwan 27 1.5k 1.3× 810 0.7× 453 1.6× 182 1.4× 188 1.5× 113 2.2k
Kenneth J. Locey United States 13 623 0.5× 540 0.5× 47 0.2× 50 0.4× 155 1.2× 26 1.3k
Niels W. Hanson Canada 12 481 0.4× 478 0.4× 86 0.3× 96 0.7× 35 0.3× 16 863
Susanne Schmitt Germany 15 554 0.5× 364 0.3× 78 0.3× 68 0.5× 44 0.4× 42 1.6k
Bela Tiwari United Kingdom 13 261 0.2× 346 0.3× 104 0.4× 19 0.1× 129 1.0× 17 882

Countries citing papers authored by Markus E. Nebel

Since Specialization
Citations

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

Fields of papers citing papers by Markus E. Nebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus E. Nebel. 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 Markus E. Nebel. The network helps show where Markus E. Nebel may publish in the future.

Co-authorship network of co-authors of Markus E. Nebel

This figure shows the co-authorship network connecting the top 25 collaborators of Markus E. Nebel. A scholar is included among the top collaborators of Markus E. Nebel 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 Markus E. Nebel. Markus E. Nebel 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.
Nebel, Markus E., et al.. (2018). GeFaST: An improved method for OTU assignment by generalising Swarm’s fastidious clustering approach. BMC Bioinformatics. 19(1). 321–321. 5 indexed citations
2.
Nebel, Markus E., et al.. (2015). New proofs of two q q-analogues of Koshys formula. Proceedings of the American Mathematical Society. 143(12). 5027–5042. 1 indexed citations
3.
Nebel, Markus E., et al.. (2015). Maximum Likelihood Analysis of the Ford–Fulkerson Method on Special Graphs. Algorithmica. 74(4). 1224–1266. 3 indexed citations
4.
Nebel, Markus E., et al.. (2015). Combinatorics of RNA Secondary Structures with Base Triples. Journal of Computational Biology. 22(7). 619–648. 6 indexed citations
5.
Nebel, Markus E. & Sebastian Wild. (2014). Pivot Sampling in Java 7's Dual-Pivot Quicksort. arXiv (Cornell University). 1 indexed citations
6.
Huang, Fenix W. D., Markus E. Nebel, & Christian M. Reidys. (2013). Generation of RNA pseudoknot structures with topological genus filtration. Mathematical Biosciences. 245(2). 216–225. 5 indexed citations
7.
Nebel, Markus E., et al.. (2012). Evaluating the effect of disturbed ensemble distributions on SCFG based statistical sampling of RNA secondary structures. BMC Bioinformatics. 13(1). 159–159. 1 indexed citations
8.
Nebel, Markus E., et al.. (2011). Evaluation of a sophisticated SCFG design for RNA secondary structure prediction. Theory in Biosciences. 130(4). 313–336. 12 indexed citations
9.
Uzmi, Zartash Afzal, Markus E. Nebel, Ruichuan Chen, et al.. (2011). SMALTA. 1–12. 54 indexed citations
10.
Nebel, Markus E., et al.. (2011). Loops in Canonical RNA Pseudoknot Structures. Journal of Computational Biology. 18(12). 1793–1806. 2 indexed citations
11.
Nebel, Markus E., et al.. (2011). Random generation of RNA secondary structures according to native distributions. Algorithms for Molecular Biology. 6(1). 24–24. 6 indexed citations
12.
Nebel, Markus E., et al.. (2010). Analysis of the Free Energy in a Stochastic RNA Secondary Structure Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(6). 1468–1482. 7 indexed citations
13.
Nebel, Markus E., et al.. (2010). Delimiting operational taxonomic units for assessing ciliate environmental diversity using small‐subunit rRNA gene sequences. Environmental Microbiology Reports. 3(2). 154–158. 54 indexed citations
14.
Stoeck, Thorsten, David Bass, Markus E. Nebel, et al.. (2010). Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Molecular Ecology. 19(s1). 21–31. 1174 indexed citations breakdown →
15.
Behnke, Anke, M. Sabine Engel, Richard Christen, et al.. (2010). Depicting more accurate pictures of protistan community complexity using pyrosequencing of hypervariable SSU rRNA gene regions. Environmental Microbiology. 13(2). 340–349. 156 indexed citations
16.
Nebel, Markus E., et al.. (2009). On quantitative effects of RNA shape abstraction. Theory in Biosciences. 128(4). 211–225. 15 indexed citations
17.
Metzler, Dirk & Markus E. Nebel. (2007). Predicting RNA secondary structures with pseudoknots by MCMC sampling. Journal of Mathematical Biology. 56(1-2). 161–181. 28 indexed citations
18.
Nebel, Markus E.. (2006). Fast string matching by using probabilities: On an optimal mismatch variant of Horspool's algorithm. Theoretical Computer Science. 359(1-3). 329–343. 7 indexed citations
19.
Flajolet, Philippe, Markus E. Nebel, & Helmut Prodinger. (2006). The scientific works of Rainer Kemp (1949–2004). Theoretical Computer Science. 355(3). 371–381. 2 indexed citations
20.
Nebel, Markus E.. (2001). On the Power of Subroutines for Finite State Machines. Journal of automata, languages and combinatorics. 6(1). 51–74.

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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