Michael J. Sabin

1.1k citations
17 papers · 726 indexed · h-index 9
Topics
Financial Literacy, Pension, Retirement Analysis (8 papers)Insurance, Mortality, Demography, Risk Management (5 papers)Advanced Data Compression Techniques (5 papers)
Partner nations
United States

In The Last Decade

Michael J. Sabin

17 papers receiving 663 citations

Peers

Michael J. Sabin
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 316
  • Artificial Intelligence 271
  • Signal Processing 174
  • Demography 84
  • Accounting 72
Replace Lakhdar Aggoun with:
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Licheng Liu China
Yves Lechevallier France
Iffat A. Gheyas United Kingdom
Kamal Ali United States
Qiansheng Cheng China
Piotr Fryźlewicz United Kingdom
Amlan Kundu United States
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Michael J. Sabin relative to Lakhdar Aggoun Oman Lakhdar Aggoun's profile →
Citations per field
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Lakhdar Aggoun · 1×
Citations per year

Countries citing papers authored by Michael J. Sabin

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Sabin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Sabin

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 12
3 3
4 4
5 11
6 13
7 1
8 3
9 6
10 44
11 3
12 1
13 43
14 336
15 98
16 128
17
Product code vector quantizers for speech waveform coding
17

About Michael J. Sabin

Michael J. Sabin is a scholar working on Accounting, Demography and Finance, having authored 17 papers that have together received 726 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (8 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Signal Processing (174 citations), Computer Vision and Pattern Recognition (316 citations) and Artificial Intelligence (271 citations). Michael J. Sabin has collaborated with scholars based in United States. Frequent co-authors include Robert M. Gray, James C. Bezdek, William T. Tucker and Richard J. Hathaway. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Speech Communication.

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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