Andreas Karwath

2.2k citations
66 papers · 1.6k · h-index 21

Impact in

Papers in

Andreas Karwath

66 papers receiving 1.5k citations

Peers

Andreas Karwath
Comparison fields: 5 of 149
  • Health Informatics 54
  • Biological Psychiatry 77
  • Computational Theory and Mathematics 255
  • Artificial Intelligence 327
  • Chemical Health and Safety 6
Replace Silvia Delgado Olabarriaga with:
Silvia Delgado Olabarriaga Netherlands
Anne-Christin Hauschild Germany
Ivana Marić United States
Erping Long China
Dokyoon Kim United States
Yi Y. Shi China
Zhi Chen China
Huiying Zhao China
Arjun P. Athreya United States
Shannon M. Rego United States
Andreas Karwath relative to Silvia Delgado Olabarriaga Netherlands Silvia Delgado Olabarriaga's profile →
Citations per field
00.5×2×3.3×
Silvia Delgado Olabarriaga · 1×
Citations per year

Countries citing papers authored by Andreas Karwath

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Karwath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Karwath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Karwath Line = papers co-authored together Andreas Karwath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009216
2 2022196
3 202199
4 201089
5 202178
6 202259
7 200155
8 201353
9 202249
10 200046
11 201243
12 202135
13 200634
14 200033
15 202433
16 201130
17 200626
18 201026
19 202123
20 202222

About Andreas Karwath

Andreas Karwath is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Computational Drug Discovery Methods (8 papers), Topic Modeling (7 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (5 papers), Data Stream Mining Techniques (5 papers), Algorithms and Data Compression (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Health Informatics (54 citations), Biological Psychiatry (77 citations), Computational Theory and Mathematics (255 citations), Artificial Intelligence (327 citations) and Chemical Health and Safety (6 citations). Andreas Karwath has collaborated with scholars based in United Kingdom, Germany and Saudi Arabia. Frequent co-authors include Martin Gütlein, Eibe Frank, Mark Michael Hall, Ross D. King, Stefan Krämer, Amanda J. Clare, Luc De Raedt, Georgios V. Gkoutos, Slawomir Grzonka and Wolfram Burgard. Their work appears in journals such as Computers in Biology and Medicine, Journal of Cheminformatics, Bioinformatics, Diabetes and Scientific Reports.

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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