James H. Schmerl
- Computational Theory and Mathematics top 1%
- Geometry and Topology top 1%
- Mathematical Physics top 5%
- Discrete Mathematics and Combinatorics top 5%
- Algebra and Number Theory top 10%
- Co-authors
- Roman KossakWilliam T. TrotterHenry A. KiersteádManuel LermanMatt KaufmannH. Jerome KeislerHenryk KotlarskiMohamed H. El-Zahar
- Topics
- Advanced Topology and Set Theory (58 papers)Advanced Algebra and Logic (29 papers)Computability, Logic, AI Algorithms (27 papers)
- Cited by
- Geometry and TopologyDiscrete Mathematics and CombinatoricsComputational Theory and Mathematics
- Journals
- Lecture notes in mathematicsTransactions of the American Mathematical SocietyAdvances in Mathematics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James H. Schmerl
100 papers receiving 594 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 487
- Geometry and Topology 417
- Mathematical Physics 183
- Discrete Mathematics and Combinatorics 142
- Algebra and Number Theory 131
Countries citing papers authored by James H. Schmerl
This map shows the geographic impact of James H. Schmerl'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 H. Schmerl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James H. Schmerl more than expected).
Fields of papers citing papers by James H. Schmerl
This network shows the impact of papers produced by James H. Schmerl. 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 H. Schmerl. The network helps show where James H. Schmerl may publish in the future.
Co-authorship network of co-authors of James H. Schmerl
This figure shows the co-authorship network connecting the top 25 collaborators of James H. Schmerl. A scholar is included among the top collaborators of James H. Schmerl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James H. Schmerl. James H. Schmerl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 76 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 7 | |
| 20 | 9 |
About James H. Schmerl
James H. Schmerl is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 108 papers that have together received 733 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (58 papers), Advanced Algebra and Logic (29 papers) and Computability, Logic, AI Algorithms (27 papers). The work is most often cited by research in Geometry and Topology (417 citations), Discrete Mathematics and Combinatorics (142 citations) and Computational Theory and Mathematics (487 citations). James H. Schmerl has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Roman Kossak, William T. Trotter, Henry A. Kiersteád, Manuel Lerman, Matt Kaufmann, H. Jerome Keisler, Henryk Kotlarski, Mohamed H. El-Zahar, Saharon Shelah and Stephen G. Simpson. Their work appears in journals such as Lecture notes in mathematics, Transactions of the American Mathematical Society and Advances in Mathematics.
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.