M. Krasner

691 citations
15 papers · 107 indexed · h-index 6
Topics
Speech and Audio Processing (10 papers)Speech Recognition and Synthesis (10 papers)Advanced Data Compression Techniques (7 papers)
Journals
The Journal of the Acoustical Society of AmericaProceedings of the International Conference on Parallel Processing
Partner nations
United States

In The Last Decade

M. Krasner

10 papers receiving 70 citations

Peers

M. Krasner
Comparison fields: 5 of 27
  • Artificial Intelligence 85
  • Signal Processing 66
  • Computer Vision and Pattern Recognition 36
  • Experimental and Cognitive Psychology 5
  • Aerospace Engineering 4
Replace Clara E. Rivera with:
Clara E. Rivera United States
Florian Stimberg Germany
Stanislav Beliaev United States
Guillaume Gravier France
Jocelyn Huang United States
Galen Chuang United States
Cristina Gârbacea United States
Hwidong Na South Korea
Benjamin Lecouteux France
Dmitriy Serdyuk United States
M. Krasner relative to Clara E. Rivera United States Clara E. Rivera's profile →
Citations per field
00.5×
Clara E. Rivera · 1×
Citations per year

Countries citing papers authored by M. Krasner

Since Specialization
Citations

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

Fields of papers citing papers by M. Krasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Krasner

This figure shows the co-authorship network connecting the top 25 collaborators of M. Krasner. A scholar is included among the top collaborators of M. Krasner 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 M. Krasner. M. Krasner 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
#WorkIndexed citations
1 2
2 4
3 9
4 24
5 3
6 7
7 0
8 0
9 1
10 15
11 28
12 7
13
Continuous Speech Recognition on a Butterfly Parallel Processor.
1
14 5
15 1

About M. Krasner

M. Krasner is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 107 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Signal Processing (66 citations), Artificial Intelligence (85 citations) and Computer Vision and Pattern Recognition (36 citations). M. Krasner has collaborated with scholars based in United States. Frequent co-authors include Richard Schwartz, S. Roucos, J. Makhoul, Y.-L. Chow, Owen Kimball, Jared J. Wolf, H. Gish, P. Price, M. Dunham and W. Russell. Their work appears in journals such as The Journal of the Acoustical Society of America and Proceedings of the International Conference on Parallel Processing.

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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