Ben Milner

1.5k citations
86 papers · 1.1k · h-index 20

Impact in

Papers in

Ben Milner

82 papers receiving 990 citations

Peers

Ben Milner
Comparison fields: 5 of 75
  • Signal Processing 953
  • Artificial Intelligence 585
  • Developmental Biology 36
  • Computer Vision and Pattern Recognition 310
  • Computational Mechanics 128
Replace Ricard Marxer with:
Ricard Marxer France
Javier Hernando Spain
Seyed Mohammad Ahadi Iran
Jürgen T. Geiger Germany
Ning Ma United Kingdom
Carlo Drioli Italy
Takanobu Nishiura Japan
Alessio Brutti Italy
Soundararajan Srinivasan United States
Chanwoo Kim United States
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Citations per field
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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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006109
2 199767
3 201158
4 200247
5 200343
6 200239
7 200638
8 200833
9 200232
10 201729
11 200429
12 200529
13 200228
14 202127
15 201527
16 200424
17 200223
18 199722
19 201620
20 200720

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 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (77 papers), Speech Recognition and Synthesis (38 papers), Music and Audio Processing (34 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 (953 citations), Artificial Intelligence (585 citations), Developmental Biology (36 citations), Computer Vision and Pattern Recognition (310 citations) and Computational Mechanics (128 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, Denise Risch, Robert Lee and Naomi Harte. Their work appears in journals such as Speech Communication, Computer Speech & Language, The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE 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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