Peter Géczy

1.1k total citations · 1 hit paper
40 papers, 625 citations indexed

About

Peter Géczy is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Peter Géczy has authored 40 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Information Systems. Recurrent topics in Peter Géczy's work include Neural Networks and Applications (10 papers), Recommender Systems and Techniques (5 papers) and Control Systems and Identification (5 papers). Peter Géczy is often cited by papers focused on Neural Networks and Applications (10 papers), Recommender Systems and Techniques (5 papers) and Control Systems and Identification (5 papers). Peter Géczy collaborates with scholars based in Japan, United States and Hong Kong. Peter Géczy's co-authors include Hiroaki Ogata, Chin‐Chung Tsai, Hui Luan, Stephen J.H. Yang, Jacky Baltes, Hollis Lai, Rodrigo da Silva Guerra, Ping Li, Janice D. Gobert and Noriaki Izumi and has published in prestigious journals such as Frontiers in Psychology, Natural Computing and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Peter Géczy

32 papers receiving 576 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.

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

2020 301 citations Peter Géczy et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Géczy Japan	7	161	158	139	136	68	40	625
Milena Ilić Serbia	10	83 0.5×	172 1.1×	137 1.0×	175 1.3×	37 0.5×	42	632
Sabine Seufert Switzerland	12	310 1.9×	227 1.4×	143 1.0×	197 1.4×	43 0.6×	106	868
Ioannis Magnisalis Greece	7	72 0.4×	107 0.7×	147 1.1×	104 0.8×	52 0.8×	18	507
Ana‐Elena Guerrero‐Roldán Spain	15	251 1.6×	204 1.3×	204 1.5×	388 2.9×	26 0.4×	47	876
Andrea Vázquez‐Ingelmo Spain	13	50 0.3×	147 0.9×	114 0.8×	151 1.1×	41 0.6×	56	528
Julie Hardman United Kingdom	6	98 0.6×	94 0.6×	137 1.0×	279 2.1×	81 1.2×	9	530
Saurabh Gupta United States	12	122 0.8×	98 0.6×	63 0.5×	90 0.7×	92 1.4×	39	566
Faten Kharbat United Arab Emirates	10	77 0.5×	110 0.7×	128 0.9×	33 0.2×	75 1.1×	43	530
Mohammed Akour Jordan	14	136 0.8×	410 2.6×	151 1.1×	100 0.7×	21 0.3×	74	810
Ştefan Popenici Australia	8	239 1.5×	218 1.4×	306 2.2×	430 3.2×	38 0.6×	17	1.0k

Countries citing papers authored by Peter Géczy

Since Specialization

Citations

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

Fields of papers citing papers by Peter Géczy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Géczy

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Géczy. A scholar is included among the top collaborators of Peter Géczy 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 Peter Géczy. Peter Géczy 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

1.

Géczy, Peter. (2015). Big Data Management: Relational Framework. SSRN Electronic Journal. 6(3). 21. 4 indexed citations

2.

Géczy, Peter. (2015). Data Economy Dimensions. SSRN Electronic Journal. 9(4). 77–89. 2 indexed citations

3.

Géczy, Peter, Noriaki Izumi, & Kôiti Hasida. (2013). HYBRID CLOUD MANAGEMENT: FOUNDATIONS AND STRATEGIES. SSRN Electronic Journal. 4(1). 37–50. 5 indexed citations

4.

Baxter, Susan, et al.. (2013). Business Education & Accreditation. 152 indexed citations

5.

Géczy, Peter, Noriaki Izumi, & Kôiti Hasida. (2011). CLOUDSOURCING: MANAGING CLOUD ADOPTION. SSRN Electronic Journal. 6(2). 57–70. 51 indexed citations

6.

Géczy, Peter, Noriaki Izumi, & Kôiti Hasida. (2010). FOUNDATIONS FOR EFFECTIVE PORTAL SERVICE MANAGEMENT. SSRN Electronic Journal. 5(2). 131–141. 1 indexed citations

7.

Géczy, Peter. (2009). Human Behavior and Interactions in Web Environments.. International Conference on Enterprise Information Systems. 5–6. 1 indexed citations

8.

Géczy, Peter, Noriaki Izumi, Shotaro Akaho, & Kôiti Hasida. (2007). Navigation Space Based Intranet Usability Analysis. 147–154. 1 indexed citations

9.

Géczy, Peter, Noriaki Izumi, Shotaro Akaho, & Kôiti Hasida. (2007). HUMAN WEB BEHAVIOR MINING. 2 indexed citations

10.

Géczy, Peter, Shotaro Akaho, & Shiro Usui. (2006). Efficient First Order Superlinear Algorithms.. 1 indexed citations

11.

Géczy, Peter, Noriaki Izumi, Shotaro Akaho, & Kôiti Hasida. (2006). Navigation Space Formalism and Exploration of Knowledge Worker Behavior on Intranet. 20(1). 163–172.

12.

Géczy, Peter & Shiro Usui. (2000). Superlinear Conjugate GradientMethod with Adaptable Step Length Step Length and Constant Momentum erm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2320–2328. 2 indexed citations

13.

Géczy, Peter & Shiro Usui. (2000). Novel First Order Optimization Classification Framework. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2312–2319. 1 indexed citations

14.

Géczy, Peter & Shiro Usui. (1998). Theoretical Concept of Network Pruning Based on Functional Convergence. International Conference on Neural Information Processing. 635–638.

15.

Géczy, Peter & Shiro Usui. (1998). Dynamic Sample Selection: Implementation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(9). 1940–1947. 2 indexed citations

16.

Géczy, Peter & Shiro Usui. (1998). Theoretical Analysis and Classification of Training Problem in Neural Networks. International Conference on Neural Information Processing. 1381–1384. 1 indexed citations

17.

Géczy, Peter & Shiro Usui. (1998). Dynamic Sample Selection : Theory. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(9). 1931–1939. 3 indexed citations

18.

Géczy, Peter & Shiro Usui. (1998). Deterministic Approach to Dynamic Sample Selection. International Conference on Neural Information Processing. 14. 1612–1615. 1 indexed citations

19.

Géczy, Peter & Shiro Usui. (1997). Rule Extraction from Trained Artificial Neural Networks.. International Conference on Neural Information Processing. 835–838. 16 indexed citations

20.

Géczy, Peter & Shiro Usui. (1995). PROBLEM OF RANK-DEFICIENCIES OF A JACOBEAN FOR A NEURAL NETWORK. Natural Computing. 95(405). 7–14. 1 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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