Lloyd A. Smith

2.2k citations
36 papers · 1.6k indexed · h-index 14

Lloyd A. Smith

33 papers receiving 1.4k citations

Peers

Lloyd A. Smith
Comparison fields: 5 of 149
  • Signal Processing 610
  • Computer Vision and Pattern Recognition 690
  • Artificial Intelligence 602
  • Music 56
  • Information Systems 195
Replace Dieter Merkl with:
Dieter Merkl Austria
Tom Diethe United Kingdom
John F. Kolen United States
Douglas Eck Canada
Paul E. Utgoff United States
Zhifeng Chen China
Josep Lluís Arcos Spain
V. Ramalingam India
Zehra Çataltepe Türkiye
Lloyd A. Smith relative to Dieter Merkl Austria Dieter Merkl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lloyd A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Lloyd A. Smith, 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 Lloyd A. Smith Line = papers co-authored together Lloyd A. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20118
2 20093
3
Data mining in sports: predicting Cy Young award winners
200720
4 20036
5 20026
6 200114
7 200033
8 20005
9
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper
1999389
10 199957
11 199833
12
Feature subset selection: a correlation based filter approach
1997185
13 199798
14 19964
15
Melody transcription for interactive applications
19965
16
Signal processing for melody transcription
199555
17
Geometric comparison of classifications and rule sets
19944
18
Beyond the Snapshot.
19792
19 19770
20 19683

About Lloyd A. Smith

Lloyd A. Smith is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Music Technology and Sound Studies (13 papers), Speech and Audio Processing (6 papers), Data Mining Algorithms and Applications (6 papers), Neuroscience and Music Perception (6 papers), Speech Recognition and Synthesis (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Digital Humanities and Scholarship (2 papers). The work is most often cited by research in Signal Processing (610 citations), Computer Vision and Pattern Recognition (690 citations), Artificial Intelligence (602 citations), Music (56 citations) and Information Systems (195 citations). Lloyd A. Smith has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Mark A. Hall, Rodger J. McNab, Ian H. Witten, Sally Jo Cunningham, David Bainbridge, Brian L. Scott, Craig G. Nevill-Manning, Rory Mitchell, R. A. Sherlock and James P. Downey. Their work appears in journals such as The Journal of the Acoustical Society of America, Computers and Electronics in Agriculture, ACS Central Science, Journal of Quantitative Analysis in Sports and D-Lib Magazine.

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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