J Büchi

5.4k citations
119 papers · 1.4k · h-index 18

Impact in

Papers in

J Büchi

104 papers receiving 1.2k citations

Peers

J Büchi
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 858
  • Software 109
  • Artificial Intelligence 624
  • Geometry and Topology 62
  • Sensory Systems 34
Replace R. Albrecht with:
R. Albrecht Germany
C. Strachey United Kingdom
James Chapman United States
John W. Raymond United States
Shaohui Wang China
Valerie J. Gillet United Kingdom
H. Savoj United States
R. C. Entringer United States
Jacques R. Chrétien France
Jonathan Greene United States
J Büchi relative to R. Albrecht Germany R. Albrecht's profile →
Citations per field
00.5×10×15×18.2×
R. Albrecht · 1×
Citations per year

Countries citing papers authored by J Büchi

Since Specialization
Citations

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

Fields of papers citing papers by J Büchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960376
2 1969126
3 1964100
4 195387
5 196449
6 195334
7 195832
8 196932
9 196532
10 197328
11 197128
12 198928
13 195225
14 196223
15 198821
16 196421
17 196919
18 196019
19 195617
20 198916

About J Büchi

J Büchi is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Spectroscopy and Artificial Intelligence, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Algebra and Logic (12 papers), Chemical Synthesis and Analysis (10 papers), Computability, Logic, AI Algorithms (10 papers), Analytical Chemistry and Chromatography (8 papers), Synthesis and Reactions of Organic Compounds (8 papers), semigroups and automata theory (8 papers), Advanced Topology and Set Theory (8 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Computational Theory and Mathematics (858 citations), Software (109 citations), Artificial Intelligence (624 citations), Geometry and Topology (62 citations) and Sensory Systems (34 citations). J Büchi has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lawrence H. Landweber, Dirk Siefkes, E. Eichenberger, Steven Senger, H. Schmid, Ravi Joshi, O. Stamm, G. Valkanas, M. Soliva and Hans Hurni. Their work appears in journals such as Helvetica Chimica Acta, Journal of Symbolic Logic, Archiv der Pharmazie, Journal of Chromatography A and Archive for Mathematical Logic.

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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