Ben Milner

1.5k citations
84 papers · 1.0k · h-index 19

Impact in

Papers in

Ben Milner

80 papers receiving 895 citations

Peers

Ben Milner
Comparison fields: 5 of 72
  • Signal Processing 875
  • Artificial Intelligence 531
  • Developmental Biology 32
  • Computer Vision and Pattern Recognition 289
  • Computational Mechanics 119
Replace Ricard Marxer with:
Ricard Marxer France
Javier Hernando Spain
Stefan Goetze Germany
Takanobu Nishiura Japan
Ning Ma United Kingdom
Carlo Drioli Italy
Xu Shao United Kingdom
Alessio Brutti Italy
Hans‐Günter Hirsch Germany
Xavier Rodet France
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Citations per field
00.5×2.9×
Ricard Marxer · 1×
Citations per year

Countries citing papers authored by Ben Milner

Since Specialization
Citations

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

Fields of papers citing papers by Ben Milner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ben Milner, 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 Ben Milner Line = papers co-authored together Ben Milner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006104
2 199758
3 201155
4 200242
5 200340
6 200235
7 200634
8 200832
9 200228
10 200528
11 200428
12 200227
13 201727
14 201526
15 202125
16 199721
17 200221
18 200420
19 201618
20 200718

About Ben Milner

Ben Milner is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (76 papers), Speech Recognition and Synthesis (37 papers), Music and Audio Processing (33 papers), Advanced Adaptive Filtering Techniques (25 papers), Advanced Data Compression Techniques (12 papers), Hearing Loss and Rehabilitation (11 papers), Blind Source Separation Techniques (8 papers) and Underwater Acoustics Research (5 papers). The work is most often cited by research in Signal Processing (875 citations), Artificial Intelligence (531 citations), Developmental Biology (32 citations), Computer Vision and Pattern Recognition (289 citations) and Computational Mechanics (119 citations). Ben Milner has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Saeed V. Vaseghi, Xu Shao, Ling Ma, Dan Smith, Jonathan Darch, Sarah Taylor, S. F. J. Cox, Naomi Harte, Robert Lee and Denise Risch. Their work appears in journals such as Speech Communication, Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America and IEEE/ACM Transactions on Audio Speech and Language 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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