John C. Moore
Impact in
- Algebra and Number Theory top 0.5%
- Advanced Topics in Algebra
- Geometry and Topology top 0.2%
- Algebraic structures and combinatorial models
Papers in
-
- Advanced Topics in Algebra 10
-
- Algebraic structures and combinatorial models 7
- Co-authors
- John MilnorSamuel EilenbergNathan D. LawsonGanesh VenugopalJason N. HowardArndt F. SiekmannJoseph NeisendorferFred Cohen
- Journals
- Annals of Mathematics (5 papers)American Journal of Mathematics (3 papers)Journal of Power Sources (2 papers)Illinois Journal of Mathematics (2 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John C. Moore
51 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Algebra and Number Theory 1.0k
- Geometry and Topology 1.4k
- Mathematical Physics 1.3k
- Discrete Mathematics and Combinatorics 149
- Developmental Neuroscience 160
Countries citing papers authored by John C. Moore
This map shows the geographic impact of John C. Moore'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 John C. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Moore more than expected).
Fields of papers citing papers by John C. Moore
This network shows the impact of papers produced by John C. Moore. 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 John C. Moore. The network helps show where John C. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2019 | 3 | |
| 3 | 2017 | 21 | |
| 4 | 2017 | 141 | |
| 5 | 2014 | 1 | |
| 6 | 2011 | 31 | |
| 7 | Hypothesis A/hypothesis B : linguistic explorations in honor of David M. Perlmutter | 2010 | 39 |
| 8 | 2010 | 200 | |
| 9 | 2010 | 88 | |
| 10 | 2009 | 280 | |
| 11 | A New Alternative for Temporary Wafer Mounting | 2002 | 4 |
| 12 | 1979 | 7 | |
| 13 | 1974 | 84 | |
| 14 | 1973 | 6 | |
| 15 | 1972 | 12 | |
| 16 | 1962 | 48 | |
| 17 | Compléments sur les algèbres de Hopf | 1959 | 2 |
| 18 | 1957 | 11 | |
| 19 | Le théorème de Freudenthal, la suite exacte de James et l'invariant de Hopf généralisé | 1955 | 3 |
| 20 | 1953 | 34 |
About John C. Moore
John C. Moore is a scholar working on Algebra and Number Theory, Geometry and Topology, Mathematical Physics, Automotive Engineering and Computational Theory and Mathematics, having authored 55 papers that have together received 4.3k indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (11 papers), Advanced Topics in Algebra (10 papers), Algebraic structures and combinatorial models (7 papers), 3D IC and TSV technologies (6 papers), Electronic Packaging and Soldering Technologies (4 papers), Semiconductor materials and devices (4 papers), Congenital heart defects research (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Algebra and Number Theory (1.0k citations), Geometry and Topology (1.4k citations), Mathematical Physics (1.3k citations), Discrete Mathematics and Combinatorics (149 citations) and Developmental Neuroscience (160 citations). John C. Moore has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John Milnor, Samuel Eilenberg, Nathan D. Lawson, Ganesh Venugopal, Jason N. Howard, Arndt F. Siekmann, Joseph Neisendorfer, Fred Cohen, Armand Borel and Shamila Yusuff. Their work appears in journals such as Annals of Mathematics, American Journal of Mathematics, Journal of Power Sources, Illinois Journal of Mathematics and Developmental Biology.
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.