Robert Vaser

5.6k total citations · 3 hit papers
10 papers, 2.9k citations indexed

About

Robert Vaser is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Robert Vaser has authored 10 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Spectroscopy. Recurrent topics in Robert Vaser's work include Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (4 papers) and Algorithms and Data Compression (3 papers). Robert Vaser is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (4 papers) and Algorithms and Data Compression (3 papers). Robert Vaser collaborates with scholars based in Croatia and Singapore. Robert Vaser's co-authors include Mile Šikić, Ivan Sović, Niranjan Nagarajan, Swarnaseetha Adusumalli, Pauline C. Ng, Wing‐Kin Sung, Jing Han Hong, Wei Liu, Bin Tean Teh and Cedric Chuan Young Ng and has published in prestigious journals such as Bioinformatics, Nature Protocols and Genome Research.

In The Last Decade

Robert Vaser

10 papers receiving 2.8k citations

Hit Papers

Fast and accurate de novo genome assembly from long uncor... 2015 2026 2018 2022 2017 2015 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Vaser Croatia 5 1.8k 761 667 481 149 10 2.9k
Chris Boursnell United Kingdom 6 2.5k 1.4× 892 1.2× 443 0.7× 599 1.2× 161 1.1× 6 3.7k
Sara El-Gebali Switzerland 4 2.2k 1.2× 1.1k 1.4× 368 0.6× 490 1.0× 122 0.8× 6 3.3k
Christiaan V. Henkel Netherlands 20 1.4k 0.8× 614 0.8× 435 0.7× 534 1.1× 211 1.4× 39 2.6k
Marius van den Beek France 12 2.6k 1.4× 664 0.9× 469 0.7× 559 1.2× 164 1.1× 21 4.2k
Dave Bouvier United States 6 2.7k 1.5× 658 0.9× 555 0.8× 624 1.3× 161 1.1× 9 4.5k
Nate Coraor United States 7 2.5k 1.4× 594 0.8× 460 0.7× 549 1.1× 157 1.1× 13 4.2k
Jennifer Hillman‐Jackson United States 6 2.5k 1.4× 587 0.8× 457 0.7× 538 1.1× 160 1.1× 7 4.0k
Dannon Baker United States 7 2.6k 1.4× 605 0.8× 465 0.7× 555 1.2× 157 1.1× 12 4.2k
Aysam Guerler Germany 10 2.6k 1.4× 582 0.8× 450 0.7× 541 1.1× 159 1.1× 14 4.1k
Travis J. Wheeler United States 14 2.4k 1.3× 1.1k 1.4× 515 0.8× 490 1.0× 132 0.9× 44 3.3k

Countries citing papers authored by Robert Vaser

Since Specialization
Citations

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

Fields of papers citing papers by Robert Vaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Vaser

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Vaser. A scholar is included among the top collaborators of Robert Vaser 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 Robert Vaser. Robert Vaser 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.
Shingate, Prashant, Jing Han Hong, Cedric Chuan Young Ng, et al.. (2022). Genome assembly and chemogenomic profiling of National Flower of Singapore Papilionanthe Miss Joaquim ‘Agnes’ reveals metabolic pathways regulating floral traits. Communications Biology. 5(1). 967–967. 3 indexed citations
2.
Vaser, Robert & Mile Šikić. (2021). Time- and memory-efficient genome assembly with Raven. Nature Computational Science. 1(5). 332–336. 211 indexed citations breakdown →
3.
Vaser, Robert & Mile Šikić. (2021). Raven source code used in the manuscript "Time and memory efficient genome assembly with Raven". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Duvnjak, Sanja, et al.. (2021). Učinkovitost sljedeće generacije sekvenciranja u dijagnostici bakterijskih zoonoza. Veterinarska stanica. 53(1). 1–10. 2 indexed citations
5.
Vaser, Robert & Mile Šikić. (2019). Yet another de novo genome assembler. 147–151. 11 indexed citations
6.
Vaser, Robert, Ivan Sović, Niranjan Nagarajan, & Mile Šikić. (2017). Fast and accurate de novo genome assembly from long uncorrected reads. Genome Research. 27(5). 737–746. 1751 indexed citations breakdown →
7.
Vaser, Robert, et al.. (2016). SWORD—a highly efficient protein database search. Bioinformatics. 32(17). i680–i684. 20 indexed citations
8.
Vaser, Robert, Ivan Sović, Niranjan Nagarajan, & Mile Šikić. (2016). Racon - Rapid consensus module for raw de novo genome assembly of long uncorrected reads. 2 indexed citations
9.
Vaser, Robert, et al.. (2015). SIFT missense predictions for genomes. Nature Protocols. 11(1). 1–9. 873 indexed citations breakdown →
10.
Vaser, Robert, et al.. (2013). Protein database search optimization based on CUDA and MPI. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1278–1280. 1 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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