James E. Baumgartner

163 papers receiving 4.7k citations

Peers

James E. Baumgartner
Comparison fields: 5 of 157
  • Geometry and Topology 1.4k
  • Discrete Mathematics and Combinatorics 334
  • Algebra and Number Theory 426
  • Mathematical Physics 630
  • Computational Theory and Mathematics 1.0k
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Citations per field
00.5×5×10×16.7×
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Citations per year

Countries citing papers authored by James E. Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by James E. Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Baumgartner. 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 James E. Baumgartner. The network helps show where James E. Baumgartner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007327
2 2009233
3 1990221
4 2006202
5 1999166
6 2010145
7 1984135
8 2000127
9 1976112
10 2004108
11 1979101
12
Japanese quail production, breeding and genetics.
199494
13 199187
14 200486
15 197685
16 200184
17 200380
18 201379
19 200577
20 200876

About James E. Baumgartner

James E. Baumgartner is a scholar working on Geometry and Topology, Algebra and Number Theory, Computational Theory and Mathematics, Psychiatry and Mental health and Mathematical Physics, having authored 173 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (38 papers), Epilepsy research and treatment (26 papers), Advanced Algebra and Logic (17 papers), Rings, Modules, and Algebras (17 papers), EEG and Brain-Computer Interfaces (15 papers), Animal Nutrition and Physiology (11 papers), Limits and Structures in Graph Theory (11 papers) and Computability, Logic, AI Algorithms (10 papers). The work is most often cited by research in Geometry and Topology (1.4k citations), Discrete Mathematics and Combinatorics (334 citations), Algebra and Number Theory (426 citations), Mathematical Physics (630 citations) and Computational Theory and Mathematics (1.0k citations). James E. Baumgartner has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include James W. Wheless, Matthew T. Harting, Charles S. Cox, Alan D. Taylor, Andrew C. Papanicolaou, Linda Ewing‐Cobbs, Fernando Jiménez, Joshua I. Breier, Richard Laver and Panagiotis G. Simos. Their work appears in journals such as Journal of Symbolic Logic, Transactions of the American Mathematical Society, Journal of Craniofacial Surgery, Journal of Child Neurology and Pediatric Neurosurgery.

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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