Erich Grädel

4.4k citations
102 papers · 1.8k · h-index 21

Impact in

Papers in

Erich Grädel

93 papers receiving 1.7k citations

Peers

Erich Grädel
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 761
  • Internal Medicine 84
  • Artificial Intelligence 854
  • Software 73
  • Cardiology and Cardiovascular Medicine 338
Replace Erich Grädel with:
Erich Grädel Germany
Irit Dinur Israel
Abhi Shelat United States
Bent Bruun Kristensen Denmark
Rainer Schräder Germany
David S. Johnson United Kingdom
Srinivasan Iyer United States
Umberto Nanni Italy
David C. Wilkins United States
Stefan Krämer Germany
Erich Grädel relative to Erich Grädel Germany Erich Grädel's profile →
Citations per field
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Erich Grädel · 1×
Citations per year

Countries citing papers authored by Erich Grädel

Since Specialization
Citations

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

Fields of papers citing papers by Erich Grädel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995173
2 1999148
3 2002147
4 1997147
5 2002118
6 198993
7 199477
8 201369
9 201164
10 199957
11 199856
12 201053
13 198248
14 200238
15 199931
16
Traumatic pulmonary pseudocysts and paramediastinal air cyst: two rare complications of blunt chest trauma.
198426
17 199024
18 198423
19 197923
20 199421

About Erich Grädel

Erich Grädel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Surgery and Epidemiology, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (32 papers), Logic, programming, and type systems (19 papers), Cardiac Valve Diseases and Treatments (18 papers), Formal Methods in Verification (14 papers), Infective Endocarditis Diagnosis and Management (13 papers), Advanced Algebra and Logic (11 papers), Semantic Web and Ontologies (8 papers) and semigroups and automata theory (7 papers). The work is most often cited by research in Computational Theory and Mathematics (761 citations), Internal Medicine (84 citations), Artificial Intelligence (854 citations), Software (73 citations) and Cardiology and Cardiovascular Medicine (338 citations). Erich Grädel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include P Stulz, Achim Blumensath, Phokion G. Kolaitis, Moshe Y. Vardi, Wolfgang Thomas, Thomas Wilke, Martin Otto, Jouko Väänánen, J. Hasse and D Burckhardt. Their work appears in journals such as Theoretical Computer Science, The Thoracic and Cardiovascular Surgeon, American Heart Journal, Annals of Pure and Applied Logic and Theory of Computing Systems.

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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