J. H. Wells

644 total citations
15 papers, 429 citations indexed

About

J. H. Wells is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, J. H. Wells has authored 15 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mathematical Physics, 5 papers in Computational Theory and Mathematics and 5 papers in Applied Mathematics. Recurrent topics in J. H. Wells's work include Matrix Theory and Algorithms (5 papers), graph theory and CDMA systems (3 papers) and Mathematical Dynamics and Fractals (3 papers). J. H. Wells is often cited by papers focused on Matrix Theory and Algorithms (5 papers), graph theory and CDMA systems (3 papers) and Mathematical Dynamics and Fractals (3 papers). J. H. Wells collaborates with scholars based in United States and Puerto Rico. J. H. Wells's co-authors include T. L. Hayden, Pablo Tarazaga, Seongsoo Hong, W. Glunt, Horst Alzer, F. T. Wright, Wei‐Min Liu, Jon Lee, Roger Barnard and Lynn R. Williams and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society and Linear Algebra and its Applications.

In The Last Decade

J. H. Wells

14 papers receiving 362 citations

Peers

J. H. Wells
D. G. Larman United Kingdom
Martin Henk Germany
Marilyn Breen United States
Charles Hobby United States
R. M. Damerell United Kingdom
F. T. Metcalf United States
Kenneth I. Gross United States
J. H. Wells
Citations per year, relative to J. H. Wells J. H. Wells (= 1×) peers Göran Björck

Countries citing papers authored by J. H. Wells

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. H. Wells

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

All Works

15 of 15 papers shown
1.
Alzer, Horst & J. H. Wells. (1998). Inequalities for the Polygamma Functions. SIAM Journal on Mathematical Analysis. 29(6). 1459–1466. 29 indexed citations
2.
Tarazaga, Pablo, T. L. Hayden, & J. H. Wells. (1996). Circum-Euclidean distance matrices and faces. Linear Algebra and its Applications. 232. 77–96. 35 indexed citations
3.
Hayden, T. L., Jon Lee, J. H. Wells, & Pablo Tarazaga. (1996). Block matrices and multispherical structure of distance matrices. Linear Algebra and its Applications. 247. 203–216. 8 indexed citations
4.
Hayden, T. L., J. H. Wells, Wei‐Min Liu, & Pablo Tarazaga. (1991). The cone of distance matrices. Linear Algebra and its Applications. 144. 153–169. 36 indexed citations
5.
Barnard, Roger & J. H. Wells. (1990). Weighted inverse Hölder inequalities. Journal of Mathematical Analysis and Applications. 147(1). 198–213. 2 indexed citations
6.
Glunt, W., T. L. Hayden, Seongsoo Hong, & J. H. Wells. (1990). An Alternating Projection Algorithm for Computing the Nearest Euclidean Distance Matrix. SIAM Journal on Matrix Analysis and Applications. 11(4). 589–600. 71 indexed citations
7.
Wells, J. H., et al.. (1989). Superadditive Functions and a Statistical Application. SIAM Journal on Mathematical Analysis. 20(5). 1255–1259. 44 indexed citations
8.
Hayden, T. L. & J. H. Wells. (1988). Approximation by matrices positive semidefinite on a subspace. Linear Algebra and its Applications. 109. 115–130. 38 indexed citations
9.
Wells, J. H., et al.. (1975). Embeddings and Extensions in Analysis. CERN Document Server (European Organization for Nuclear Research). 147 indexed citations
10.
Hayden, T. L. & J. H. Wells. (1971). On the extension of Lipschitz-Hölder maps of order β. Journal of Mathematical Analysis and Applications. 33(3). 627–640. 3 indexed citations
11.
Williams, Lynn R., J. H. Wells, & T. L. Hayden. (1971). On the extension of Lipschitz-Hölder maps on $L^{P}$ spaces. Studia Mathematica. 39(1). 29–38. 4 indexed citations
12.
Wells, J. H.. (1970). Some Results Concerning Multipliers of H p . Journal of the London Mathematical Society. 2(Part_3). 549–556. 4 indexed citations
13.
Wells, J. H., et al.. (1966). Invariant subspaces. Illinois Journal of Mathematics. 10(3). 1 indexed citations
14.
Wells, J. H.. (1960). Hausdorff transforms of bounded sequences. Proceedings of the American Mathematical Society. 11(1). 84–86. 1 indexed citations
15.
Wells, J. H.. (1959). Concerning the Hausdorff inclusion problem. Duke Mathematical Journal. 26(4). 6 indexed citations

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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