Andreas Krebs

1.3k citations
97 papers · 739 indexed · h-index 17

Impact in

Papers in

Andreas Krebs

82 papers receiving 713 citations

Peers

Andreas Krebs
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 120
  • Cardiology and Cardiovascular Medicine 109
  • Computational Theory and Mathematics 69
  • Clinical Biochemistry 29
  • Virology 19
Replace Sergey V. Matveev with:
Sergey V. Matveev Russia
Christopher N. Johnson United States
Michael Dodds United States
Atul Agarwal India
Jingyan Wang China
Minh Tâm Lê Vietnam
Vikas Saini India
Stephen R. Murray United States
Dushyant V. Patel United States
Nabanita Das India
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Krebs, 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 Krebs Line = papers co-authored together Andreas Krebs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2 202031
3 20195
4 20194
5 20181
6 20171
7 201512
8 20155
9 20152
10
Universal covers, color refinement, and two-variable logic with counting quantifiers: Lower bounds for the depth.
20141
11 201223
12
Reproducibility and feasibility of a 22 joints ultrasound score in rheumatoid arthritis: a study among rheumatologists with diverse expertise in musculoskeletal ultrasound
20113
13
Low uniform versions of NC1.
20111
14 201111
15
An Approach to characterize the Regular Languages in TC0 with Linear Wires.
20092
16 200923
17 200916
18 200825
19 200515
20 200331

About Andreas Krebs

Andreas Krebs is a scholar working on Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism, Discrete Mathematics and Combinatorics, Orthopedics and Sports Medicine and Artificial Intelligence, having authored 97 papers that have together received 739 indexed citations. Recurring topics across this work include semigroups and automata theory (25 papers), Formal Methods in Verification (13 papers), Complexity and Algorithms in Graphs (9 papers), Logic, programming, and type systems (9 papers), Diabetes Management and Research (6 papers), Advanced Algebra and Logic (6 papers), Diabetes Treatment and Management (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Cardiology and Cardiovascular Medicine (109 citations), Computational Theory and Mathematics (69 citations), Clinical Biochemistry (29 citations) and Virology (19 citations). Andreas Krebs has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Franz Effenberger, Karl Otfried Schwab, Jürgen Doerfer, Michael Göbel, Arno Schmidt‐Trucksäss, Karl Winkler, Gerd Dürner, Ernst P. Stephan, Elisabeth Schorb and Yvonne Yazbeck Haddad. Their work appears in journals such as Pediatric Diabetes, Theoretical Computer Science, Calcified Tissue International, ChemBioChem and The Journal of Organic Chemistry.

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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