Cornelius Glackin

734 total citations
31 papers, 325 citations indexed

About

Cornelius Glackin is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Cornelius Glackin has authored 31 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Cornelius Glackin's work include Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers) and Neural dynamics and brain function (7 papers). Cornelius Glackin is often cited by papers focused on Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers) and Neural dynamics and brain function (7 papers). Cornelius Glackin collaborates with scholars based in United Kingdom, Germany and Spain. Cornelius Glackin's co-authors include Liam Maguire, Paul Humphreys, Ronan McIvor, Julie Wall, M. Moniri, Christoph Salge, Shahzaib Tahir, Daniel Polani, Muttukrishnan Rajarajan and Liam McDaid and has published in prestigious journals such as Frontiers in Psychology, Fuzzy Sets and Systems and International Journal of Production Research.

In The Last Decade

Cornelius Glackin

26 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cornelius Glackin United Kingdom	9	113	94	92	72	41	31	325
Mohammed S. Al-Samarraay Iraq	12	106 0.9×	28 0.3×	113 1.2×	20 0.3×	47 1.1×	14	362
Mahmoud M. Bassiouni Egypt	9	79 0.7×	32 0.3×	10 0.1×	32 0.4×	49 1.2×	15	289
Huagang Tong China	10	78 0.7×	17 0.2×	38 0.4×	15 0.2×	14 0.3×	23	351
Howard Lei United States	10	98 0.9×	15 0.2×	29 0.3×	125 1.7×	13 0.3×	26	317
Satya Ranjan Dash India	10	116 1.0×	10 0.1×	81 0.9×	12 0.2×	62 1.5×	57	361
Navarun Gupta United States	6	58 0.5×	6 0.1×	37 0.4×	51 0.7×	34 0.8×	28	265
Jin Ma China	9	71 0.6×	16 0.2×	78 0.8×	10 0.1×	13 0.3×	20	295
Md. Manjur Ahmed Malaysia	9	137 1.2×	7 0.1×	22 0.2×	29 0.4×	94 2.3×	23	365
Marwan Yassin Ghafour Iran	8	93 0.8×	11 0.1×	21 0.2×	11 0.2×	19 0.5×	10	389

Countries citing papers authored by Cornelius Glackin

Since Specialization

Citations

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

Fields of papers citing papers by Cornelius Glackin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelius Glackin

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelius Glackin. A scholar is included among the top collaborators of Cornelius Glackin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cornelius Glackin. Cornelius Glackin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cordasco, Gennaro, et al.. (2025). Detecting depression in speech using verbal behavior analysis: a cross-cultural study. Frontiers in Psychology. 16. 1514918–1514918.

Wall, Julie, et al.. (2024). A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices. UEL Research Repository (University of East London). 1–7.

Wall, Julie, et al.. (2023). Deception detection in conversations using the proximity of linguistic markers. Knowledge-Based Systems. 267. 110422–110422.

Glackin, Cornelius, et al.. (2022). Speaker Recognition using Multiple X-Vector Speaker Representations with Two-Stage Clustering and Outlier Detection Refinement. UEL Research Repository (University of East London). 1–6.

Wall, Julie, et al.. (2022). Two-Stage Deep Learning Approach for Speech Enhancement and Reconstruction in The Frequency and Time Domains. 2022 International Joint Conference on Neural Networks (IJCNN). 1–10. 3 indexed citations

Wall, Julie, et al.. (2020). An Experimental Analysis of Deep Learning Architectures for Supervised Speech Enhancement. Electronics. 10(1). 17–17. 33 indexed citations

Wall, Julie, et al.. (2020). A Comparative Study of Time and Frequency Domain Approaches to Deep Learning based Speech Enhancement. UEL Research Repository (University of East London). 1–8. 22 indexed citations

Wall, Julie, et al.. (2020). Mapping and Masking Targets Comparison using Different Deep Learning based Speech Enhancement Architectures. UEL Research Repository (University of East London). 1–8. 15 indexed citations

Glackin, Cornelius, et al.. (2019). Smart Transcription. 134–137. 2 indexed citations

10.

Torres, M. Inés, Gérard Chollet, Jofre Tenorio‐Laranga, et al.. (2018). EMPATHIC, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderdy.. 172–173. 1 indexed citations

11.

Tahir, Shahzaib, Sushmita Ruj, Yogachandran Rahulamathavan, Muttukrishnan Rajarajan, & Cornelius Glackin. (2017). A New Secure and Lightweight Searchable Encryption Scheme over Encrypted Cloud Data. IEEE Transactions on Emerging Topics in Computing. 7(4). 530–544. 37 indexed citations

12.

Wall, Julie, Cornelius Glackin, Gérard Chollet, et al.. (2016). A Roadmap for Privacy Preserving Speech Processing. UEL Research Repository (University of East London). 2 indexed citations

13.

Wall, Julie, et al.. (2016). Recurrent lateral inhibitory spiking networks for speech enhancement. ROAR (University of East London). 7. 1023–1028. 4 indexed citations

14.

Glackin, Cornelius, Christoph Salge, Daniel Polani, et al.. (2015). Learning gait by therapist demonstration for natural-like walking with the CORBYS powered orthosis. 37. 5605–5610. 6 indexed citations

15.

Salge, Christoph, Cornelius Glackin, & Daniel Polani. (2013). Empowerment and State-dependent Noise - An Intrinsic Motivation for Avoiding Unpredictable Agents. University of Hertfordshire Research Archive (University of Hertfordshire). 118–125. 2 indexed citations

16.

Wall, Julie & Cornelius Glackin. (2013). Spiking neural network connectivity and its potential for temporal sensory processing and variable binding. Frontiers in Computational Neuroscience. 7. 182–182. 2 indexed citations

17.

Glackin, Cornelius, Liam Maguire, Liam McDaid, & John Wade. (2012). Synchrony: A spiking-based mechanism for processing sensory stimuli. Neural Networks. 32. 26–34. 4 indexed citations

18.

Glackin, Cornelius, et al.. (2010). Receptive field optimisation and supervision of a fuzzy spiking neural network. Neural Networks. 24(3). 247–256. 15 indexed citations

19.

Glackin, Cornelius, Liam Maguire, Ronan McIvor, Paul Humphreys, & Pawel Herman. (2007). A comparison of fuzzy strategies for corporate acquisition analysis. Fuzzy Sets and Systems. 158(18). 2039–2056. 15 indexed citations

20.

Humphreys, Paul, et al.. (2006). Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process. International Journal of Production Research. 44(12). 2379–2419. 106 indexed citations

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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