Mareike Hartmann
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 11
- Semantic Web and Ontologies 3
- Speech Recognition and Synthesis 2
- Text Readability and Simplification 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Anne S. Ulrich (2 shared papers)Dagmar Gerthsen (1 shared paper)J. Hawecker (1 shared paper)Mohammad Fotouhi Ardakani (1 shared paper)Marina Berditsch (1 shared paper)Rebecca Adler‐Nissen (1 shared paper)Yevgeniy Golovchenko (1 shared paper)Anders Søgaard (8 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (1 paper)Cell (1 paper)Language Resources and Evaluation (1 paper)International Affairs (1 paper)KI - Künstliche Intelligenz (1 paper)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Mareike Hartmann
20 papers receiving 670 citations
Peers
Comparison fields: 5 of 121
- Microbiology 223
- Molecular Medicine 34
- Communication 37
- Food Science 77
- Molecular Biology 269
Countries citing papers authored by Mareike Hartmann
This map shows the geographic impact of Mareike Hartmann'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 Mareike Hartmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mareike Hartmann more than expected).
Fields of papers citing papers by Mareike Hartmann
This network shows the impact of papers produced by Mareike Hartmann. 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 Mareike Hartmann. The network helps show where Mareike Hartmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Mareike Hartmann, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 449 | |
| 2 | 2018 | 90 | |
| 3 | 2013 | 60 | |
| 4 | 2024 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 5 | |
| 13 | Comparing Unsupervised Word Translation Methods Step by Step | 2019 | 4 |
| 14 | 2018 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Mareike Hartmann
Mareike Hartmann is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Communication and Microbiology, having authored 21 papers that have together received 689 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers), Multimodal Machine Learning Applications (3 papers), Semantic Web and Ontologies (3 papers), Antimicrobial Peptides and Activities (2 papers), Speech Recognition and Synthesis (2 papers), Text Readability and Simplification (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Microbiology (223 citations), Molecular Medicine (34 citations), Communication (37 citations), Food Science (77 citations) and Molecular Biology (269 citations). Mareike Hartmann has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Anne S. Ulrich, Dagmar Gerthsen, J. Hawecker, Mohammad Fotouhi Ardakani, Marina Berditsch, Rebecca Adler‐Nissen, Yevgeniy Golovchenko, Anders Søgaard, Daniel Sonntag and Yova Kementchedjhieva. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Cell, Language Resources and Evaluation, International Affairs and KI - Künstliche Intelligenz.
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.