Thomas Hackl
Impact in
-
- Computational Geometry and Mesh Generation
- Endocrinology top 5%
Papers in
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- Genomics and Phylogenetic Studies 22
- Protist diversity and phylogeny 5
- Ecology 16
- Microbial Community Ecology and Physiology 10
- Bacteriophages and microbial interactions 9
- Co-authors
- Frank Förster (5 shared papers)Jörg Schultz (5 shared papers)Rainer Hedrich (1 shared paper)Matthias Fischer (8 shared papers)Matthias Wolf (3 shared papers)Tobias Müller (2 shared papers)Christian Koetschan (3 shared papers)Ute Hentschel (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)The ISME Journal (4 papers)mBio (2 papers)Bioinformatics (2 papers)Scientific Data (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Thomas Hackl
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Computer Graphics and Computer-Aided Design 89
- Endocrinology 96
- Ecology 467
- Biotechnology 102
- Molecular Biology 600
Countries citing papers authored by Thomas Hackl
This map shows the geographic impact of Thomas Hackl'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 Thomas Hackl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hackl more than expected).
Fields of papers citing papers by Thomas Hackl
This network shows the impact of papers produced by Thomas Hackl. 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 Thomas Hackl. The network helps show where Thomas Hackl may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hackl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 354 | |
| 2 | 2017 | 119 | |
| 3 | 2012 | 117 | |
| 4 | 2016 | 105 | |
| 5 | 2009 | 65 | |
| 6 | 2017 | 60 | |
| 7 | 2023 | 48 | |
| 8 | 2022 | 48 | |
| 9 | 2012 | 40 | |
| 10 | 2021 | 32 | |
| 11 | 2023 | 32 | |
| 12 | 2023 | 29 | |
| 13 | 2022 | 28 | |
| 14 | 2018 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2024 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2023 | 14 |
About Thomas Hackl
Thomas Hackl is a scholar working on Molecular Biology, Ecology, Plant Science, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Computational Geometry and Mesh Generation (10 papers), Microbial Community Ecology and Physiology (10 papers), Bacteriophages and microbial interactions (9 papers), Advanced Graph Theory Research (8 papers), Plant Virus Research Studies (6 papers), Protist diversity and phylogeny (5 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Endocrinology (96 citations), Ecology (467 citations), Biotechnology (102 citations) and Molecular Biology (600 citations). Thomas Hackl has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Frank Förster, Jörg Schultz, Rainer Hedrich, Matthias Fischer, Matthias Wolf, Tobias Müller, Christian Koetschan, Ute Hentschel, Kristina Bayer and Beate M. Slaby. Their work appears in journals such as Proceedings of the National Academy of Sciences, The ISME Journal, mBio, Bioinformatics and Scientific Data.
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.