Patrick Donnelly

648 citations
35 papers · 400 · h-index 10

Impact in

Papers in

Patrick Donnelly

31 papers receiving 372 citations

Peers

Patrick Donnelly
Comparison fields: 5 of 60
  • Information Systems and Management 103
  • Computer Science Applications 57
  • Computer Networks and Communications 122
  • Signal Processing 49
  • Speech and Hearing 30
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012107
2 201637
3 201737
4 200929
5 199928
6 196219
7 201617
8 201014
9 201613
10 201310
11
Music perception in cochlear implant users
20129
12 20099
13
Utterance-Level Modeling of Indicators of Engaging Classroom Discourse.
20198
14 20137
15 20107
16
Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes.
20176
17
Technical Description of Radar and Optical Sensors Contributing to Joint UK-Australian Satellite Tracking, Data-fusion and Cueing Experiment
20146
18 20165
19 20115
20 20125

About Patrick Donnelly

Patrick Donnelly is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Information Systems and Management and Signal Processing, having authored 35 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (8 papers), Scientific Computing and Data Management (5 papers), Music and Audio Processing (5 papers), Engineering and Test Systems (5 papers), Hearing Loss and Rehabilitation (3 papers), Neuroscience and Music Perception (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Information Systems and Management (103 citations), Computer Science Applications (57 citations), Computer Networks and Communications (122 citations), Signal Processing (49 citations) and Speech and Hearing (30 citations). Patrick Donnelly has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Douglas Thain, Charles J. Limb, Sidney K. D’Mello, Andrew M. Olney, Sean Kelly, John W. Sheppard, Arthur Brebner, Nathaniel Blanchard, Martin Nystrand and Borhan Samei. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Music Journal, Concurrency and Computation Practice and Experience, Journal of Physics Conference Series and The Florida AI Research Society.

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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