Nicholas Ampazis

409 total citations
17 papers, 276 citations indexed

About

Nicholas Ampazis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicholas Ampazis has authored 17 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicholas Ampazis's work include Neural Networks and Applications (9 papers), Model Reduction and Neural Networks (4 papers) and Image and Signal Denoising Methods (2 papers). Nicholas Ampazis is often cited by papers focused on Neural Networks and Applications (9 papers), Model Reduction and Neural Networks (4 papers) and Image and Signal Denoising Methods (2 papers). Nicholas Ampazis collaborates with scholars based in Greece, United Kingdom and Denmark. Nicholas Ampazis's co-authors include Stavros Perantonis, George Dounias, Athanasios Tsakonas, Beth Bjerregaard, Evangelia Panourgias, Jan Jantzen, Spiridon V. Spirou, Ioannis Minis and John G. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Oncology Reports.

In The Last Decade

Nicholas Ampazis

16 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Ampazis Greece	6	163	47	46	34	23	17	276
An‐Da Li China	8	196 1.2×	49 1.0×	47 1.0×	20 0.6×	21 0.9×	16	355
Emilio Corchado Spain	8	163 1.0×	33 0.7×	55 1.2×	42 1.2×	19 0.8×	23	332
Farzin Modarres Khiyabani Iran	5	100 0.6×	34 0.7×	37 0.8×	44 1.3×	20 0.9×	16	281
Zhiyong Luo China	8	205 1.3×	63 1.3×	36 0.8×	35 1.0×	18 0.8×	65	368
Luka Mernik United States	5	221 1.4×	33 0.7×	27 0.6×	53 1.6×	16 0.7×	7	371
Farhad Soleimanian Gharehchopogh Iran	5	151 0.9×	44 0.9×	32 0.7×	49 1.4×	11 0.5×	19	311
Stavros P. Adam Greece	3	149 0.9×	34 0.7×	24 0.5×	57 1.7×	13 0.6×	5	287
R. Jensi India	4	220 1.3×	49 1.0×	35 0.8×	43 1.3×	12 0.5×	5	331
Sait Ali Uymaz Türkiye	9	283 1.7×	28 0.6×	59 1.3×	46 1.4×	13 0.6×	17	424
Sjoerd de Jong Netherlands	3	120 0.7×	15 0.3×	61 1.3×	19 0.6×	20 0.9×	5	253

Countries citing papers authored by Nicholas Ampazis

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Ampazis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Ampazis

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

All Works

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17 of 17 papers shown

Ampazis, Nicholas, et al.. (2024). Diversifying Multi-Head Attention in the Transformer Model. SHILAP Revista de lepidopterología. 6(4). 2618–2638.

Ampazis, Nicholas, et al.. (2020). A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons. Knowledge-Based Systems. 195. 105628–105628. 36 indexed citations

Ampazis, Nicholas, et al.. (2019). A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization. Machine Learning and Knowledge Extraction. 1(3). 928–944. 4 indexed citations

Ampazis, Nicholas, et al.. (2015). FALCON: A matrix factorization framework for recommender systems using constrained optimization. Intelligent Decision Technologies. 9(3). 221–232. 3 indexed citations

Ampazis, Nicholas. (2015). Forecasting Demand in Supply Chain Using Machine Learning Algorithms. RePEc: Research Papers in Economics. 5(1). 56–73. 10 indexed citations

Ampazis, Nicholas, et al.. (2014). Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks. Cognitive Computation. 7(1). 86–102. 4 indexed citations

Ampazis, Nicholas & Stavros Perantonis. (2013). An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization. 2013. 1–7. 1 indexed citations

Ampazis, Nicholas, et al.. (2013). Recommending Who to Follow on Twitter Based on Tweet Contents and Social Connections. 2(4). 165–173. 3 indexed citations

Minis, Ioannis, et al.. (2007). Efficient real-time management of goods distribution to clustered clients. International Journal of Integrated Supply Management. 3(3). 211–211. 1 indexed citations

10.

Dounias, George, Beth Bjerregaard, Jan Jantzen, et al.. (2006). Automated identification of cancerous smears using various competitive intelligent techniques. Oncology Reports. 15 Spec no.. 1001–6. 17 indexed citations

11.

Tsakonas, Athanasios, Nicholas Ampazis, & George Dounias. (2006). Towards a Comprehensible and Accurate Credit Management Model: Application of Four Computational Intelligence Methodologies. 295–299. 3 indexed citations

12.

Ampazis, Nicholas, et al.. (2005). Cross-language information retrieval using latent semantic indexing and self-organizing maps. 751–755. 4 indexed citations

13.

Ampazis, Nicholas, Stavros Perantonis, & John G. Taylor. (2003). Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. 3. 1850–1855. 1 indexed citations

14.

Ampazis, Nicholas & Stavros Perantonis. (2002). Two highly efficient second-order algorithms for training feedforward networks. IEEE Transactions on Neural Networks. 13(5). 1064–1074. 123 indexed citations

15.

Perantonis, Stavros, et al.. (2002). Factorization of 2-D polynomials using neural networks and constrained learning techniques. 1276–1280. 7 indexed citations

16.

Ampazis, Nicholas & Stavros Perantonis. (2000). Levenberg-Marquardt algorithm with adaptive momentum for the efficient training of feedforward networks. 126–131 vol.1. 57 indexed citations

17.

Perantonis, Stavros, Nicholas Ampazis, & Spiridon V. Spirou. (2000). Training feedforward neural networks with the Dogleg method and BFGS Hessian updates. 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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