Patrick Donnelly

652 citations
36 papers · 490 · h-index 11

Impact in

Papers in

Patrick Donnelly

32 papers receiving 457 citations

Peers

Patrick Donnelly
Comparison fields: 5 of 60
  • Information Systems and Management 120
  • Computer Science Applications 67
  • Signal Processing 77
  • Computer Networks and Communications 141
  • Information Systems 117
Replace Shoji Kajita with:
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 201648
3 201747
4 200930
5 201130
6 199929
7 196221
8 201620
9 201016
10 201616
11 201314
12 20099
13
Utterance-Level Modeling of Indicators of Engaging Classroom Discourse.
20199
14 20168
15 20107
16
Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes.
20177
17 20137
18 20107
19 20156
20
Technical Description of Radar and Optical Sensors Contributing to Joint UK-Australian Satellite Tracking, Data-fusion and Cueing Experiment
20146

About Patrick Donnelly

Patrick Donnelly is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems and Management, Hardware and Architecture and Artificial Intelligence, having authored 36 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (8 papers), Music and Audio Processing (7 papers), Scientific Computing and Data Management (5 papers), Engineering and Test Systems (5 papers), Cloud Computing and Resource Management (3 papers), Music Technology and Sound Studies (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Information Systems and Management (120 citations), Computer Science Applications (67 citations), Signal Processing (77 citations), Computer Networks and Communications (141 citations) and Information Systems (117 citations). Patrick Donnelly has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Douglas Thain, John W. Sheppard, Sidney K. D’Mello, Andrew McGregor Olney, Sean P. Kelly, Charles J. Limb, Martin Nystrand, Nathaniel Blanchard, Arthur Brebner 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, Lecture notes in computer science and Journal of Physics Conference Series.

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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