Ross A. Lippert

15.9k total citations
30 papers, 934 citations indexed

About

Ross A. Lippert is a scholar working on Molecular Biology, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Ross A. Lippert has authored 30 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Numerical Analysis. Recurrent topics in Ross A. Lippert's work include Matrix Theory and Algorithms (7 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Ross A. Lippert is often cited by papers focused on Matrix Theory and Algorithms (7 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Ross A. Lippert collaborates with scholars based in United States, United Kingdom and Switzerland. Ross A. Lippert's co-authors include Ryan Rifkin, Ron O. Dror, David E. Shaw, Cristian Predescu, Michael P. Eastwood, Michael S. Waterman, Haiyan Huang, Douglas J. Ierardi, Kenneth MacKenzie and Sorin Istrail and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Ross A. Lippert

28 papers receiving 882 citations

Peers

Ross A. Lippert
Comparison fields: 5 of 133
  • Molecular Biology 506
  • Genetics 230
  • Artificial Intelligence 170
  • Computer Vision and Pattern Recognition 74
  • Atomic and Molecular Physics, and Optics 72
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Citations per field, relative to Ross A. Lippert
Ross A. Lippert · 1×
Citations per year, relative to Ross A. Lippert
Ross A. Lippert · 1×

Countries citing papers authored by Ross A. Lippert

Since Specialization
Citations

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

Fields of papers citing papers by Ross A. Lippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross A. Lippert. 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 Ross A. Lippert. The network helps show where Ross A. Lippert may publish in the future.

Co-authorship network of co-authors of Ross A. Lippert

This figure shows the co-authorship network connecting the top 25 collaborators of Ross A. Lippert. A scholar is included among the top collaborators of Ross A. Lippert 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 Ross A. Lippert. Ross A. Lippert 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
# Work Indexed citations
1 0
2 8
3 39
4
Notes on Regularized Least Squares
66
5 2
6 7
7 15
8 9
9 30
10 20
11
Syntenic Layout of Two Assemblies of Related Genomes.
0
12 73
13 5
14
Algorithmic Strategies for the SNP Haplotype Assembly Problem
14
15 123
16 20
17 75
18 8
19 4
20 10

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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