Erich Grädel

4.4k citations
103 papers · 1.9k · h-index 21

Impact in

Papers in

Erich Grädel

96 papers receiving 1.7k citations

Peers

Erich Grädel
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 756
  • Artificial Intelligence 851
  • Internal Medicine 99
  • Software 73
  • Cardiology and Cardiovascular Medicine 415
Replace Erich Grädel with:
Erich Grädel Germany
Abhi Shelat United States
Irit Dinur Israel
Srinivasan Iyer United States
Marc Zimmermann Switzerland
Jean‐Michel Bruel France
Umberto Nanni Italy
Rainer Schräder Germany
David C. Wilkins United States
J. Anderson United Kingdom
Erich Grädel relative to Erich Grädel Germany Erich Grädel's profile →
Citations per field
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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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995171
2 1999148
3 1997147
4 2002144
5 2002116
6 198993
7 199478
8 201370
9 201163
10 199957
11 199855
12 201052
13 198248
14 200238
15 199432
16 199931
17
Traumatic pulmonary pseudocysts and paramediastinal air cyst: two rare complications of blunt chest trauma.
198426
18 199024
19 198423
20 197923

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 103 papers that have together received 1.9k 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 (19 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 (756 citations), Artificial Intelligence (851 citations), Internal Medicine (99 citations), Software (73 citations) and Cardiology and Cardiovascular Medicine (415 citations). Erich Grädel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include P Stulz, Achim Blumensath, Moshe Y. Vardi, Phokion G. Kolaitis, Thomas Wilke, Wolfgang Thomas, Martin Otto, Jouko Väänánen, J. Hasse and D Burckhardt. Their work appears in journals such as Theoretical Computer Science, The Thoracic and Cardiovascular Surgeon, Annals of Pure and Applied Logic, American Heart Journal and Respiration.

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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