John Y. Goulermas

4.8k total citations · 2 hit papers
118 papers, 3.6k citations indexed

About

John Y. Goulermas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, John Y. Goulermas has authored 118 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 44 papers in Computer Vision and Pattern Recognition and 22 papers in Biomedical Engineering. Recurrent topics in John Y. Goulermas's work include Neural Networks and Applications (15 papers), Face and Expression Recognition (13 papers) and Topic Modeling (11 papers). John Y. Goulermas is often cited by papers focused on Neural Networks and Applications (15 papers), Face and Expression Recognition (13 papers) and Topic Modeling (11 papers). John Y. Goulermas collaborates with scholars based in United Kingdom, China and Germany. John Y. Goulermas's co-authors include Laurence Kenney, Stephen Preece, David Howard, Tingting Mu, Robin H. Crompton, Todd C. Pataky, Ehab E. Elattar, Kenneth Meijer, Qiuxia Wu and Panos Liatsis and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

John Y. Goulermas

114 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Activity identification using body-mounted sensors—a review of classification techniques

2009 454 citations John Y. Goulermas, Laurence Kenney et al. profile →
A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data

2008 417 citations John Y. Goulermas, Laurence Kenney et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Y. Goulermas United Kingdom	29	1.2k	1.1k	778	558	312	118	3.6k
Zhelong Wang China	32	1.1k 1.0×	1.5k 1.4×	677 0.9×	611 1.1×	248 0.8×	148	3.3k
Sen Qiu China	28	713 0.6×	1.1k 1.0×	470 0.6×	520 0.9×	219 0.7×	103	2.5k
Hongyu Zhao China	25	654 0.6×	1.1k 1.0×	471 0.6×	518 0.9×	211 0.7×	83	2.3k
Ravi Vaidyanathan United Kingdom	36	539 0.5×	1.7k 1.6×	478 0.6×	799 1.4×	63 0.2×	205	6.2k
Jean Meunier Canada	32	2.3k 1.9×	1.3k 1.2×	478 0.6×	230 0.4×	112 0.4×	150	3.7k
Noel E. O’Connor Ireland	36	2.8k 2.4×	760 0.7×	948 1.2×	300 0.5×	42 0.1×	389	5.4k
Yaser Sheikh United States	38	6.3k 5.3×	993 0.9×	947 1.2×	191 0.3×	253 0.8×	107	8.0k
Roozbeh Jafari United States	40	2.7k 2.2×	3.1k 2.8×	957 1.2×	894 1.6×	108 0.3×	220	6.2k
Růžena Bajcsy United States	41	4.1k 3.4×	1.3k 1.1×	894 1.1×	489 0.9×	67 0.2×	246	6.9k
Zhiqiang Zhang China	35	506 0.4×	1.3k 1.2×	641 0.8×	767 1.4×	36 0.1×	242	3.9k

Countries citing papers authored by John Y. Goulermas

Since Specialization

Citations

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

Fields of papers citing papers by John Y. Goulermas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Y. Goulermas. 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 John Y. Goulermas. The network helps show where John Y. Goulermas may publish in the future.

Co-authorship network of co-authors of John Y. Goulermas

This figure shows the co-authorship network connecting the top 25 collaborators of John Y. Goulermas. A scholar is included among the top collaborators of John Y. Goulermas 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 John Y. Goulermas. John Y. Goulermas 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

Goulermas, John Y., Vladimir V. Gusev, Rahul Savani, et al.. (2025). Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials. Digital Discovery. 4(7). 1794–1811.

Yang, Xi, et al.. (2024). EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Transactions on Cybernetics. 54(9). 5381–5393. 6 indexed citations

Li, Jing, Qiufeng Wang, Kaizhu Huang, et al.. (2023). Towards better long-tailed oracle character recognition with adversarial data augmentation. Pattern Recognition. 140. 109534–109534. 24 indexed citations

Mu, Tingting, et al.. (2023). Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Transactions on Systems Man and Cybernetics Systems. 53(7). 3930–3943. 9 indexed citations

Goulermas, John Y., et al.. (2022). Isotope Identification Using Artificial Neural Network Ensembles and Bin-Ratios. IEEE Transactions on Nuclear Science. 69(6). 1194–1202. 1 indexed citations

Sun, Mingjie, Jimin Xiao, Eng Gee Lim, Si Liu, & John Y. Goulermas. (2021). Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 4189–4195. 42 indexed citations

Mu, Tingting, et al.. (2020). An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. IEEE Transactions on Image Processing. 29. 3911–3926. 10 indexed citations

Mu, Tingting, et al.. (2020). Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing. 389. 93–107. 9 indexed citations

Hao, Yanbin, Tingting Mu, Richang Hong, et al.. (2019). Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Transactions on Knowledge and Data Engineering. 32(10). 1909–1922. 33 indexed citations

10.

Brockmeier, Austin J., et al.. (2019). Circular object arrangement using spherical embeddings. Pattern Recognition. 103. 107192–107192. 3 indexed citations

11.

Brockmeier, Austin J., Tingting Mu, Sophia Ananiadou, & John Y. Goulermas. (2018). Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Transactions on Knowledge and Data Engineering. 30(10). 1929–1942. 11 indexed citations

12.

Mu, Tingting, et al.. (2017). Translating on pairwise entity space for knowledge graph embedding. Neurocomputing. 260. 411–419. 7 indexed citations

13.

Mu, Tingting, John Y. Goulermas, & Sophia Ananiadou. (2017). Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6). 1323–1337. 8 indexed citations

14.

Gong, Liyun, Tingting Mu, Meng Wang, Hengchang Liu, & John Y. Goulermas. (2017). Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing. 272. 237–249. 4 indexed citations

15.

Kontonatsios, Georgios, Austin J. Brockmeier, Piotr Przybyła, et al.. (2017). A semi-supervised approach using label propagation to support citation screening. Journal of Biomedical Informatics. 72. 67–76. 33 indexed citations

16.

Parkes, Laura M., Jan-Bernard Marsman, David Oxley, John Y. Goulermas, & Sophie Wuerger. (2009). Multivoxel fMRI analysis of color tuning in human primary visual cortex. Journal of Vision. 9(1). 1–1. 117 indexed citations

17.

Pataky, Todd C., Paolo Caravaggi, Russell Savage, et al.. (2008). New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM). Journal of Biomechanics. 41(9). 1987–1994. 108 indexed citations

18.

Goulermas, John Y., Andrew H. Findlow, Christopher Nester, et al.. (2008). An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Transactions on Neural Networks. 19(9). 1574–1582. 23 indexed citations

19.

Liatsis, Panos, et al.. (2007). Adaptive polynomial neural networks for times series forecasting. 35. 35–39. 6 indexed citations

20.

Tresadern, P., Sibylle Thies, Laurence Kenney, David Howard, & John Y. Goulermas. (2007). A Clinical Set-up Tool (CST) For Rapid Stimulator Programming. Conference proceedings. 42. 3577–3580. 2 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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