Fred Cummins

70 papers receiving 4.7k citations

Hit Papers

Learning to Forget: Continual Prediction with LSTM 2000 · 3.6k citations
3.6k0+8+17Years since publication10002.0k3.0k

Peers

Fred Cummins
Comparison fields: 5 of 195
  • Signal Processing 719
  • Experimental and Cognitive Psychology 779
  • Artificial Intelligence 1.7k
  • Cognitive Neuroscience 674
  • Linguistics and Language 138
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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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to Forget: Continual Prediction with LSTM
Hit paper breakdown →
20003604
2 1998205
3 2010125
4 2008106
5 200882
6
The CHAINS corpus: CHAracterizing INdividual Speakers
200658
7 200356
8 201152
9
Enterprise Integration: An Architecture for Enterprise Application and Systems Integration
200250
10 200947
11 201243
12 201242
13 201041
14
Building the Agile Enterprise: With SOA, BPM and MBM
200836
15 200234
16 200329
17 201127
18 201624
19 201022
20
D64: A corpus of richly recorded conversational interaction
201020

About Fred Cummins

Fred Cummins is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Cognitive Neuroscience, Social Psychology and Signal Processing, having authored 81 papers that have together received 5.0k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (30 papers), Speech and dialogue systems (15 papers), Speech Recognition and Synthesis (12 papers), Action Observation and Synchronization (9 papers), Neuroscience and Music Perception (8 papers), Embodied and Extended Cognition (8 papers), Multisensory perception and integration (7 papers) and Language and cultural evolution (7 papers). The work is most often cited by research in Signal Processing (719 citations), Experimental and Cognitive Psychology (779 citations), Artificial Intelligence (1.7k citations), Cognitive Neuroscience (674 citations) and Linguistics and Language (138 citations). Fred Cummins has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Felix A. Gers, Jürgen Schmidhuber, Robert F. Port, Thomas J. Leonard, Marco Grimaldi, Juraj Šimko, Catharine Oertel, Nick Campbell, Petra Wagner and Jens Edlund. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Phonetics, Frontiers in Psychology, Language Sciences and Music Perception An Interdisciplinary Journal.

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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