Howard L. Resnikoff

1.1k citations
53 papers · 619 indexed · h-index 12

Howard L. Resnikoff

45 papers receiving 501 citations

Peers

Howard L. Resnikoff
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 153
  • Mathematical Physics 97
  • Artificial Intelligence 94
  • Geometry and Topology 78
  • Algebra and Number Theory 67
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Countries citing papers authored by Howard L. Resnikoff

Since Specialization
Citations

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

Fields of papers citing papers by Howard L. Resnikoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard L. Resnikoff. 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 Howard L. Resnikoff. The network helps show where Howard L. Resnikoff may publish in the future.

Co-authorship network of co-authors of Howard L. Resnikoff

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Wavelet analysis
54
2 5
3 6
4 97
5 3
6
Implications of Advances in Information Science and Technology for Institutions of Higher Learning.
2
7 14
8 11
9
Singular Kummer Surfaces and Hilbert Modular Forms
1
10
Analysis on singularities
1
11 9
12
Generating Some Rings of Modular Forms in Several Complex Variables By One Element
2
13 2
14
Computerized library catalogs : their growth, cost, and utility
9
15
Non Trivial Cusp Forms in Several Complex Variables
1
16 3
17 14
18
The Nature off Affixing in Written English, Part II
2
19
The Nature of Affixing in Written English
8
20 21

About Howard L. Resnikoff

Howard L. Resnikoff is a scholar working on Algebra and Number Theory, Mathematical Physics and Geometry and Topology, having authored 53 papers that have together received 619 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Algebra and Geometry (9 papers) and Algebraic Geometry and Number Theory (8 papers). The work is most often cited by research in Algebra and Number Theory (67 citations), Mathematical Physics (97 citations) and Geometry and Topology (78 citations). Howard L. Resnikoff has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Raymond O. Wells, David Bruce Cohen, Julian Dolby, P.N. Heller, C.S. Burrus, Jun Tian, Aaron Cohen, David E. Penney and Edward T. Ordman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proceedings of the IEEE and The Journal of the Acoustical Society of America.

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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