Jeff Ma

770 citations
36 papers · 518 indexed · 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 430 citations

Peers

Jeff Ma
Comparison fields: 5 of 64
  • Signal Processing 342
  • Artificial Intelligence 393
  • Experimental and Cognitive Psychology 40
  • Computational Mechanics 30
  • Automotive Engineering 13
Replace D. Govind with:
D. Govind India
Michael Pitz Germany
Jinjin Ye United States
Abhishek Sehgal United States
Stefan Goetze Germany
Zhengkun Tian China
Nicolas Côté France
Jinlin Liu China
Shimin Zhang China
Jinxi Guo China
Jeff Ma relative to D. Govind India D. Govind's profile →
Citations per field
00.5×4.3×
D. Govind · 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 201480
2 200074
3 201440
4 200937
5 200832
6 201327
7 201526
8 201218
9 200317
10 200816
11 200515
12 202113
13 200612
14 201311
15 201110
16 20079
17 20018
18 20227
19 20177
20 20226

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 518 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), Natural Language Processing Techniques (4 papers), Numerical methods in engineering (4 papers), Geotechnical Engineering and Underground Structures (3 papers), Advanced machining processes and optimization (2 papers) and Mechanical Engineering and Vibrations Research (2 papers). The work is most often cited by research in Signal Processing (342 citations), Artificial Intelligence (393 citations), Experimental and Cognitive Psychology (40 citations), Computational Mechanics (30 citations) and Automotive Engineering (13 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, Sri Harish Mallidi, Spyros Matsoukas, Tim Ng, Le Zhang and Oldřich Plchot. Their work appears in journals such as ASAIO Journal, International Journal of Fracture, Journal of Digital Imaging, Computer Speech & Language and Signal 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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