J. J. Uhl

60 total papers · 2.7k total citations
36 papers, 1.7k citations indexed

About

J. J. Uhl is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, J. J. Uhl has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mathematical Physics, 9 papers in Applied Mathematics and 9 papers in Statistics and Probability. Recurrent topics in J. J. Uhl's work include Advanced Banach Space Theory (19 papers), Approximation Theory and Sequence Spaces (9 papers) and Stochastic processes and financial applications (5 papers). J. J. Uhl is often cited by papers focused on Advanced Banach Space Theory (19 papers), Approximation Theory and Sequence Spaces (9 papers) and Stochastic processes and financial applications (5 papers). J. J. Uhl collaborates with scholars based in United States, Spain and Botswana. J. J. Uhl's co-authors include Joseph Diestel, Neil E. Gretsky, B. Turett, Maria Girardi, Nicolae Dinculeanu, Horaçio Porta, James Martínez, Anthony L. Peressini, D. P. Brown and Thomas G. West and has published in prestigious journals such as Transactions of the American Mathematical Society, Pacific Journal of Mathematics and Bulletin of the London Mathematical Society.

In The Last Decade

J. J. Uhl

33 papers receiving 1.3k citations

Hit Papers

Vector Measures 1977 2026 1993 2009 1977 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. J. Uhl 1.2k 933 452 358 246 36 1.7k
J. T. Schwartz 934 0.8× 817 0.9× 240 0.5× 584 1.6× 274 1.1× 30 2.2k
Jean‐Pierre Kahane 968 0.8× 860 0.9× 186 0.4× 249 0.7× 340 1.4× 81 1.9k
Jens Peter Christensen 780 0.7× 615 0.7× 162 0.4× 335 0.9× 460 1.9× 41 1.6k
William F. Donoghue 703 0.6× 641 0.7× 122 0.3× 600 1.7× 343 1.4× 30 1.5k
James K. Brooks 942 0.8× 378 0.4× 181 0.4× 238 0.7× 342 1.4× 43 1.3k
Owen Burkinshaw 1.4k 1.2× 946 1.0× 840 1.9× 313 0.9× 319 1.3× 49 2.0k
Hisaharu Umegaki 341 0.3× 475 0.5× 381 0.8× 389 1.1× 104 0.4× 29 1.4k
Marek Kuczma 620 0.5× 1.3k 1.4× 120 0.3× 351 1.0× 500 2.0× 100 2.1k
G. G. Lorentz 398 0.3× 625 0.7× 327 0.7× 254 0.7× 136 0.6× 69 1.5k
Casper Goffman 577 0.5× 598 0.6× 179 0.4× 558 1.6× 367 1.5× 86 1.7k

Countries citing papers authored by J. J. Uhl

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Uhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Uhl

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Uhl. A scholar is included among the top collaborators of J. J. Uhl 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 J. J. Uhl. J. J. Uhl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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