Fred Cummins

98 papers receiving 6.0k citations

Fred Cummins's Hit Papers

Business Process Model and Notation—BPMN 2014 · 682 citations
6820+8+17Years since publication10002.0k3.0k

Peers

Fred Cummins
Comparison fields: 5 of 199
  • Signal Processing 816
  • Experimental and Cognitive Psychology 840
  • Artificial Intelligence 2.2k
  • Management Information Systems 557
  • Cognitive Neuroscience 701
Replace Benjamin Kuipers with:
Benjamin Kuipers United States
Norbert M. Seel Germany
Ioannis Kompatsiaris Greece
Paul R. Cohen United States
Robert L. Smith United States
Alan F. Smeaton Ireland
Ching Y. Suen Canada
Mike Schuster United States
Piotr Bojanowski Israel
Stan Śzpakowicz Canada
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Citations per year

Countries citing papers authored by Fred Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Fred Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to Forget: Continual Prediction with LSTM
Hit paper breakdown →
20003998
2
Business Process Model and Notation—BPMN
Hit paper breakdown →
2014682
3 1998231
4 2010133
5 2008116
6 200886
7
The CHAINS corpus: CHAracterizing INdividual Speakers
200665
8 200365
9
Enterprise Integration: An Architecture for Enterprise Application and Systems Integration
200260
10 201157
11 200950
12 201248
13 201044
14 201242
15
Building the Agile Enterprise: With SOA, BPM and MBM
200842
16 200237
17 200332
18 201129
19 201626
20 201026

About Fred Cummins

Fred Cummins is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience, Management Information Systems and Social Psychology, having authored 109 papers that have together received 6.4k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (32 papers), Speech and dialogue systems (18 papers), Speech Recognition and Synthesis (13 papers), Business Process Modeling and Analysis (10 papers), Action Observation and Synchronization (9 papers), Collaboration in agile enterprises (9 papers), Neuroscience and Music Perception (8 papers) and Embodied and Extended Cognition (8 papers). The work is most often cited by research in Signal Processing (816 citations), Experimental and Cognitive Psychology (840 citations), Artificial Intelligence (2.2k citations), Management Information Systems (557 citations) and Cognitive Neuroscience (701 citations). Fred Cummins has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Felix A. Gers, Jürgen Schmidhuber, Mark von Rosing, Stephen White, Henk de Man, Robert F. Port, Thomas J. Leonard, Marco Grimaldi, Juraj Šimko and Petra Wagner. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Phonetics, Frontiers in Psychology, Artificial Intelligence Review and Adaptive Behavior.

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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