Jeff Connor
Impact in
- Statistics and Probability top 0.2%
- Approximation Theory and Sequence Spaces
- Numerical Analysis top 1%
- Mathematical Approximation and Integration
- Iterative Methods for Nonlinear Equations
Papers in
-
- Approximation Theory and Sequence Spaces 23
-
- Advanced Banach Space Theory 13
- Co-authors
- Karl-Goswin Grosse-Erdmann (1 shared paper)Vladimir M. Kadets (1 shared paper)John A. Fridy (2 shared papers)Cihan Orhan (2 shared papers)Ekrem SAVAS (2 shared papers)Barbara W. Grover (1 shared paper)Kami̇l Demi̇rci̇ (1 shared paper)Fatıh Nuray (1 shared paper)
- Journals
- Journal of Mathematical Analysis and Applications (4 papers)Proceedings of the American Mathematical Society (3 papers)International Journal of Science and Mathematics Education (1 paper)Annals of the New York Academy of Sciences (1 paper)Pacific Journal of Mathematics (1 paper)
- Partner nations
- United StatesTürkiyeItaly
In The Last Decade
Jeff Connor
31 papers receiving 967 citations
Peers
Comparison fields: 5 of 35
- Statistics and Probability 1.1k
- Numerical Analysis 641
- Applied Mathematics 527
- Mathematical Physics 275
- Management Science and Operations Research 286
Countries citing papers authored by Jeff Connor
This map shows the geographic impact of Jeff Connor'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 Jeff Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Connor more than expected).
Fields of papers citing papers by Jeff Connor
This network shows the impact of papers produced by Jeff Connor. 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 Jeff Connor. The network helps show where Jeff Connor may publish in the future.
Co-authors
The 13 scholars most cited alongside Jeff Connor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 420 | |
| 2 | 1989 | 146 | |
| 3 | 2003 | 84 | |
| 4 | 2000 | 79 | |
| 5 | 1996 | 70 | |
| 6 | 1990 | 63 | |
| 7 | 1992 | 41 | |
| 8 | 1993 | 32 | |
| 9 | 1994 | 32 | |
| 10 | 1993 | 31 | |
| 11 | 1999 | 31 | |
| 12 | 1992 | 21 | |
| 13 | 2005 | 17 | |
| 14 | 2015 | 14 | |
| 15 | 2002 | 10 | |
| 16 | 2006 | 10 | |
| 17 | 1990 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 1985 | 4 | |
| 20 | 2021 | 4 |
About Jeff Connor
Jeff Connor is a scholar working on Statistics and Probability, Mathematical Physics, Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (23 papers), Advanced Banach Space Theory (13 papers), Mathematical Approximation and Integration (7 papers), Advanced Harmonic Analysis Research (6 papers), Iterative Methods for Nonlinear Equations (5 papers), Mathematics Education and Teaching Techniques (4 papers), Holomorphic and Operator Theory (3 papers) and Science Education and Pedagogy (2 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Numerical Analysis (641 citations), Applied Mathematics (527 citations), Mathematical Physics (275 citations) and Management Science and Operations Research (286 citations). Jeff Connor has collaborated with scholars based in United States, Türkiye and Italy. Frequent co-authors include Karl-Goswin Grosse-Erdmann, Vladimir M. Kadets, John A. Fridy, Cihan Orhan, Ekrem SAVAS, Barbara W. Grover, Kami̇l Demi̇rci̇, Fatıh Nuray, S.A. Mohiuddine and Richard F. Patterson. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society, International Journal of Science and Mathematics Education, Annals of the New York Academy of Sciences and Pacific Journal of 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.