Janet C. Tremain

665 total citations
10 papers, 211 citations indexed

About

Janet C. Tremain is a scholar working on Applied Mathematics, Computational Mechanics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Janet C. Tremain has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Applied Mathematics, 3 papers in Computational Mechanics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Janet C. Tremain's work include Mathematical Analysis and Transform Methods (9 papers), Advanced Numerical Analysis Techniques (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Janet C. Tremain is often cited by papers focused on Mathematical Analysis and Transform Methods (9 papers), Advanced Numerical Analysis Techniques (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Janet C. Tremain collaborates with scholars based in United States and Jordan. Janet C. Tremain's co-authors include Peter G. Casazza, Dustin G. Mixon, Matthew Fickus, Sofian T. Obeidat, Darrin Speegle, Gitta Kutyniok, Richard G. Lynch and Jelena Kovačević and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Mathematical Analysis and Applications and Proceedings of the American Mathematical Society.

In The Last Decade

Janet C. Tremain

10 papers receiving 189 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Janet C. Tremain United States	7	140	61	52	50	33	10	211
Ziemowit Rzeszotnik Poland	9	161 1.1×	30 0.5×	102 2.0×	29 0.6×	17 0.5×	15	215
Norbert Kaiblinger Austria	8	164 1.2×	48 0.8×	109 2.1×	53 1.1×	9 0.3×	25	233
Friedrich Philipp Germany	9	82 0.6×	36 0.6×	22 0.4×	16 0.3×	14 0.4×	35	240
Tim N.T. Goodman United Kingdom	8	77 0.6×	95 1.6×	55 1.1×	34 0.7×	5 0.2×	22	217
Amir Khosravi Iran	12	254 1.8×	19 0.3×	16 0.3×	13 0.3×	98 3.0×	32	374
Mark Lammers United States	6	130 0.9×	79 1.3×	85 1.6×	60 1.2×	7 0.2×	16	197
Pedro Massey Argentina	11	284 2.0×	50 0.8×	31 0.6×	13 0.3×	5 0.2×	33	353
Say Song Goh Singapore	11	189 1.4×	50 0.8×	174 3.3×	99 2.0×	13 0.4×	39	286
Nate Strawn United States	7	44 0.3×	33 0.5×	24 0.5×	12 0.2×	26 0.8×	15	132
Alain Yger France	10	91 0.7×	20 0.3×	29 0.6×	16 0.3×	23 0.7×	20	235

Countries citing papers authored by Janet C. Tremain

Since Specialization

Citations

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

Fields of papers citing papers by Janet C. Tremain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet C. Tremain. 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 Janet C. Tremain. The network helps show where Janet C. Tremain may publish in the future.

Co-authorship network of co-authors of Janet C. Tremain

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Casazza, Peter G., et al.. (2017). Norm Retrieval and Phase Retrieval by Projections. Axioms. 6(1). 6–6. 13 indexed citations

2.

Casazza, Peter G., Richard G. Lynch, & Janet C. Tremain. (2015). Unconditional convergence constants of Hilbert space frame expansions. 362–366. 1 indexed citations

3.

Fickus, Matthew, Dustin G. Mixon, & Janet C. Tremain. (2011). Steiner equiangular tight frames. Linear Algebra and its Applications. 436(5). 1014–1027. 95 indexed citations

4.

Casazza, Peter G., Matthew Fickus, Dustin G. Mixon, & Janet C. Tremain. (2011). The Bourgain-Tzafriri conjecture and concrete constructions of non-pavable projections. Operators and Matrices. 351–363. 1 indexed citations

5.

Casazza, Peter G. & Janet C. Tremain. (2009). Revisiting the Bourgain-Tzafriri restricted invertibility theorem. Operators and Matrices. 97–110. 6 indexed citations

6.

Obeidat, Sofian T., et al.. (2008). Sums of Hilbert space frames. Journal of Mathematical Analysis and Applications. 351(2). 579–585. 24 indexed citations

7.

Casazza, Peter G., Gitta Kutyniok, Darrin Speegle, & Janet C. Tremain. (2008). A decomposition theorem for frames and the Feichtinger Conjecture. Proceedings of the American Mathematical Society. 136(6). 2043–2053. 7 indexed citations

8.

Casazza, Peter G., et al.. (2008). Real equiangular frames. 69. 715–720. 13 indexed citations

9.

Casazza, Peter G. & Janet C. Tremain. (2006). The Kadison–Singer Problem in mathematics and engineering. Proceedings of the National Academy of Sciences. 103(7). 2032–2039. 49 indexed citations

10.

Casazza, Peter G., et al.. (2003). Physical laws governing finite tight frames. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5207. 371–371. 2 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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