Jordan J. Bird

1.7k total citations · 1 hit paper
33 papers, 562 citations indexed

About

Jordan J. Bird is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jordan J. Bird has authored 33 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Jordan J. Bird's work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (4 papers) and Speech and Audio Processing (4 papers). Jordan J. Bird is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (4 papers) and Speech and Audio Processing (4 papers). Jordan J. Bird collaborates with scholars based in United Kingdom, Brazil and Portugal. Jordan J. Bird's co-authors include Diego R. Faria, Anikó Ekárt, Ahmad Lotfi, Eduardo Parente Ribeiro, Luis J. Manso, Antonio Fratini, Michael Pritchard, Elizabeth F. Wanner, Cristiano Premebida and Pedro Machado and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jordan J. Bird

32 papers receiving 539 citations

Hit Papers

CIFAKE: Image Classification and Explainable Identificati... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan J. Bird United Kingdom 13 200 160 129 112 93 33 562
Allam Jaya Prakash India 15 162 0.8× 115 0.7× 160 1.2× 157 1.4× 82 0.9× 30 633
Ozan Özdenizci United States 11 269 1.3× 76 0.5× 164 1.3× 42 0.4× 39 0.4× 26 547
Adil Deniz Duru Türkiye 13 186 0.9× 95 0.6× 111 0.9× 51 0.5× 34 0.4× 72 580
Sebastian Stober Germany 12 349 1.7× 95 0.6× 163 1.3× 69 0.6× 61 0.7× 60 680
Manuel Gil-Martín Spain 9 139 0.7× 77 0.5× 198 1.5× 124 1.1× 30 0.3× 35 497
Enrique Hortal Spain 12 392 2.0× 54 0.3× 35 0.3× 172 1.5× 108 1.2× 35 552
Carlos A. Reyes-García Mexico 17 258 1.3× 320 2.0× 40 0.3× 49 0.4× 41 0.4× 52 885
Howida A. Shedeed Egypt 11 314 1.6× 60 0.4× 89 0.7× 127 1.1× 114 1.2× 50 591

Countries citing papers authored by Jordan J. Bird

Since Specialization
Citations

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

Fields of papers citing papers by Jordan J. Bird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan J. Bird. 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 Jordan J. Bird. The network helps show where Jordan J. Bird may publish in the future.

Co-authorship network of co-authors of Jordan J. Bird

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan J. Bird. A scholar is included among the top collaborators of Jordan J. Bird 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 Jordan J. Bird. Jordan J. Bird is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Machado, Pedro, et al.. (2024). Enhancing pollinator conservation: Monitoring of bees through object recognition. Computers and Electronics in Agriculture. 228. 109665–109665. 2 indexed citations
2.
Valentı́n, Antonio, et al.. (2024). Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come From the Same Location? An Advanced Source Localization Solution. IEEE Transactions on Biomedical Engineering. 71(9). 2771–2780. 2 indexed citations
3.
Machado, Pedro, et al.. (2024). Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques. Sensors. 24(4). 1096–1096. 9 indexed citations
4.
Valentı́n, Antonio, et al.. (2024). Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array. 1117–1121. 2 indexed citations
5.
Bird, Jordan J., David Wright, Alexander Sumich, & Ahmad Lotfi. (2024). Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 322–328. 4 indexed citations
6.
Xing, Yangang, et al.. (2024). Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 329–336. 2 indexed citations
7.
Bird, Jordan J., et al.. (2023). A Neuroevolution Approach to Keypoint-Based Sign Language Fingerspelling Classification. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 2019. 215–220. 1 indexed citations
8.
Bird, Jordan J. & Ahmad Lotfi. (2023). Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation. Genetic Programming and Evolvable Machines. 24(1).
9.
Bird, Jordan J. & Ahmad Lotfi. (2023). Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 475–479. 9 indexed citations
10.
Premebida, Cristiano, et al.. (2022). Reducing Overconfidence Predictions in Autonomous Driving Perception. IEEE Access. 10. 54805–54821. 5 indexed citations
11.
Bird, Jordan J.. (2022). EEG Wavelet Classification for Fall Detection with Genetic Programming. 376–382. 3 indexed citations
12.
Bird, Jordan J., Michael Pritchard, Antonio Fratini, Anikó Ekárt, & Diego R. Faria. (2021). Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. IEEE Robotics and Automation Letters. 6(2). 3498–3504. 41 indexed citations
13.
Bird, Jordan J., et al.. (2021). A study on CNN image classification of EEG signals represented in 2D and 3D. Journal of Neural Engineering. 18(2). 26005–26005. 33 indexed citations
14.
Bird, Jordan J., et al.. (2020). Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE Access. 8. 54789–54801. 73 indexed citations
15.
Bird, Jordan J., et al.. (2020). Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach. PLoS ONE. 15(10). e0241332–e0241332. 18 indexed citations
16.
Bird, Jordan J., et al.. (2020). From Simulation to Reality: CNN Transfer Learning for Scene Classification. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 619–625. 12 indexed citations
17.
Faria, Diego R., et al.. (2020). Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit. International Journal of Information and Education Technology. 10(9). 641–648. 5 indexed citations
18.
Bird, Jordan J. & Diego R. Faria. (2019). A Bioinspired Approach for Mental Emotional State Perception towards Social Awareness in Robotics. 2. 8–11. 1 indexed citations
19.
Bird, Jordan J., Anikó Ekárt, & Diego R. Faria. (2019). On the effects of pseudorandom and quantum-random number generators in soft computing. Soft Computing. 24(12). 9243–9256. 14 indexed citations
20.
Bird, Jordan J., Luis J. Manso, Eduardo Parente Ribeiro, Anikó Ekárt, & Diego R. Faria. (2018). A Study on Mental State Classification using EEG-based Brain-Machine Interface. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 795–800. 94 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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