Jeff Ma

774 citations
36 papers · 562 · h-index 13

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling

Papers in

Jeff Ma

34 papers receiving 472 citations

Peers

Jeff Ma
Comparison fields: 5 of 68
  • Signal Processing 369
  • Artificial Intelligence 427
  • Experimental and Cognitive Psychology 43
  • Computational Mechanics 30
  • Automotive Engineering 15
Replace Michael Pitz with:
Michael Pitz Germany
Kou Tanaka Japan
Anna Přibilová Slovakia
Jinjin Ye United States
Alireza A. Dibazar United States
Nicolas Côté France
Lawrence C. Ng United States
Abhishek Sehgal United States
Zhengkun Tian China
Rizwan Ullah China
Jeff Ma relative to Michael Pitz Germany Michael Pitz's profile →
Citations per field
00.5×10×15×
Michael Pitz · 1×
Citations per year

Countries citing papers authored by Jeff Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Ma Line = papers co-authored together Jeff Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201486
2 200079
3 201446
4 200939
5 200836
6 201531
7 201328
8 200319
9 201218
10 200816
11 200515
12 202114
13 200613
14 201312
15 201111
16 200710
17 20228
18 20018
19 20178
20 20227

About Jeff Ma

Jeff Ma is a scholar working on Artificial Intelligence, Signal Processing, Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering, having authored 36 papers that have together received 562 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (14 papers), Music and Audio Processing (9 papers), Numerical methods in engineering (4 papers), Natural Language Processing Techniques (4 papers), Geotechnical Engineering and Underground Structures (3 papers), Mechanical Engineering and Vibrations Research (2 papers) and Soil Mechanics and Vehicle Dynamics (2 papers). The work is most often cited by research in Signal Processing (369 citations), Artificial Intelligence (427 citations), Experimental and Cognitive Psychology (43 citations), Computational Mechanics (30 citations) and Automotive Engineering (15 citations). Jeff Ma has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Li Deng, Richard Schwartz, Ondřej Glembek, Pavel Matějka, Bing Zhang, Spyros Matsoukas, Sri Harish Mallidi, Tim Ng, Le Zhang and Oldřich Plchot. Their work appears in journals such as ASAIO Journal, Signal Processing, Journal of Digital Imaging, NeuroImage and Computer Speech & Language.

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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