Bob Lawlor

953 citations
16 papers · 159 indexed · h-index 8

Bob Lawlor

16 papers receiving 129 citations

Peers

Bob Lawlor
Comparison fields: 5 of 62
  • Signal Processing 88
  • Communication 12
  • Computational Mathematics 1
  • Computer Vision and Pattern Recognition 34
  • Chemical Health and Safety 1
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Countries citing papers authored by Bob Lawlor

Since Specialization
Citations

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

Fields of papers citing papers by Bob Lawlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Bob Lawlor, 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 Bob Lawlor Line = papers co-authored together Bob Lawlor links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201718
2 201510
3
Interdisciplinary Communication Skills - Facilitating Students from DifferentDisciplines to Learn with, from and about each other
20142
4 20149
5
THE IMPLEMENTATION AND EVALUATION OF A PROBLEM BASED LEARNING PILOT MODULE IN A FIRST YEAR ELECTRONIC ENGINEERING PROGRAMME
20141
6 20131
7 200927
8 200610
9 20053
10 200511
11
Sound Source Separation: Azimuth Discrimination and Resynthesis
200445
12
SINGLE-NOTE ORNAMENTS TRANSCRIPTION FOR THE IRISH TIN WHISTLE BASED ON ONSET DETECTION
20046
13
INDEPENDENT SUBSPACE ANALYSIS USING LOCALLY LINEAR EMBEDDING
20039
14 20001
15 19992
16
A Novel Efficient Algorithm for Voice Gender Conversion
19994

About Bob Lawlor

Bob Lawlor is a scholar working on Signal Processing, Media Technology, Computational Mechanics, Education and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 159 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Engineering Education and Curriculum Development (3 papers), Problem and Project Based Learning (3 papers), Biomedical and Engineering Education (2 papers), Speech Recognition and Synthesis (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Signal Processing (88 citations), Communication (12 citations), Computational Mathematics (1 citation), Computer Vision and Pattern Recognition (34 citations) and Chemical Health and Safety (1 citation). Bob Lawlor has collaborated with scholars based in Ireland. Frequent co-authors include Eugene Coyle, Roisin Donnelly, Yi Wang, Edward J. Coyle, Seán McLoone, Séamus McLoone, Anthony Meehan, Derry Fitzgerald, A.D. Fagan and Rudi Villing. Their work appears in journals such as Organised Sound, Computers & Education, Journal of Higher Education Policy and Management, SHILAP Revista de lepidopterología and MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth).

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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