M.A. Jack

61 papers receiving 658 citations

Peers

M.A. Jack
Comparison fields: 5 of 88
  • Signal Processing 308
  • Artificial Intelligence 348
  • Human-Computer Interaction 43
  • Computer Vision and Pattern Recognition 132
  • Information Systems and Management 36
Replace Shingo Kuroiwa with:
Shingo Kuroiwa Japan
David S. Pallett United States
William M. Fisher United States
Tillman Weyde United Kingdom
Mark Barnard United Kingdom
Trausti T. Kristjansson United States
Jonathan G. Fiscus United States
Christian Puhrsch United States
D. Nahamoo United States
Michael Bryant United States
M.A. Jack relative to Shingo Kuroiwa Japan Shingo Kuroiwa's profile →
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Shingo Kuroiwa · 1×
Citations per year

Countries citing papers authored by M.A. Jack

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.A. Jack, 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 M.A. Jack Line = papers co-authored together M.A. Jack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989145
2 1980117
3 200173
4 200744
5 199632
6 199624
7 199822
8 200216
9 199815
10 198414
11 200113
12 200413
13 198812
14 199612
15 199612
16 200211
17 198211
18 199910
19 200310
20 19769

About M.A. Jack

M.A. Jack is a scholar working on Signal Processing, Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 72 papers that have together received 738 indexed citations. Recurring topics across this work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (23 papers), Speech and dialogue systems (9 papers), Acoustic Wave Resonator Technologies (9 papers), Advanced Data Compression Techniques (8 papers), Advanced Adaptive Filtering Techniques (8 papers), Usability and User Interface Design (6 papers) and Underwater Acoustics Research (6 papers). The work is most often cited by research in Signal Processing (308 citations), Artificial Intelligence (348 citations), Human-Computer Interaction (43 citations), Computer Vision and Pattern Recognition (132 citations) and Information Systems and Management (36 citations). M.A. Jack has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Xuedong Huang, Fergus R. McInnes, John H. Collins, P.M. Grant, Néstor Becerra Yoma, Jeng‐Shyang Pan, Gary Douglas, Xumin Huang, John D. Laver and Lee Luan Ling. Their work appears in journals such as Electronics Letters, Behaviour and Information Technology, IEEE Transactions on Speech and Audio Processing, International Journal of Human-Computer Studies and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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