Peter Géczy

32 papers receiving 576 citations

Peter Géczy's Hit Papers

Challenges and Future Directions of Big Data and Artificial Intelligence in Education 2020 · 301 citations
3010+2+4Years since publication100200300

Peers

Peter Géczy
Comparison fields: 5 of 92
  • Health Informatics 43
  • Computer Science Applications 136
  • Information Systems and Management 66
  • Management Information Systems 68
  • Information Systems 158
Replace Ioannis Magnisalis with:
Ioannis Magnisalis Greece
Sabine Seufert Switzerland
Milena Ilić Serbia
Andrea Vázquez‐Ingelmo Spain
Jeffrey Saltz United States
Pedro Isaías Australia
Sunday Adewale Olaleye Finland
Sarah Oeste-Reiß Germany
Zdeněk Zdráhal United Kingdom
Ana‐Elena Guerrero‐Roldán Spain
Peter Géczy relative to Ioannis Magnisalis Greece Ioannis Magnisalis's profile →
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Citations per year

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-authors

The 22 scholars most cited alongside Peter Géczy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Géczy Line = papers co-authored together Peter Géczy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Hit paper breakdown →
2020301
2
Business Education & Accreditation
2013152
3
CLOUDSOURCING: MANAGING CLOUD ADOPTION
201151
4
BIG DATA CHARACTERISTICS
201430
5
Rule Extraction from Trained Artificial Neural Networks.
199716
6 20089
7 20077
8 20076
9 20106
10
HYBRID CLOUD MANAGEMENT: FOUNDATIONS AND STRATEGIES
20135
11 20125
12 19995
13
Big Data Management: Relational Framework
20154
14
Dynamic Sample Selection : Theory
19983
15
Data Economy Dimensions
20152
16
Superlinear Conjugate GradientMethod with Adaptable Step Length Step Length and Constant Momentum erm
20002
17
Dynamic Sample Selection: Implementation
19982
18
HUMAN WEB BEHAVIOR MINING
20072
19 20072
20 20072

About Peter Géczy

Peter Géczy is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Management Information Systems and Management Science and Operations Research, having authored 40 papers that have together received 625 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Control Systems and Identification (5 papers), Recommender Systems and Techniques (5 papers), Big Data and Business Intelligence (4 papers), Innovation Diffusion and Forecasting (3 papers), Customer Service Quality and Loyalty (3 papers), Fuzzy Logic and Control Systems (3 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Health Informatics (43 citations), Computer Science Applications (136 citations), Information Systems and Management (66 citations), Management Information Systems (68 citations) and Information Systems (158 citations). Peter Géczy has collaborated with scholars based in Japan, Taiwan and Canada. Frequent co-authors include Hollis Lai, Rodrigo da Silva Guerra, Chin‐Chung Tsai, Hui Luan, Hiroaki Ogata, Stephen J.H. Yang, Jacky Baltes, Janice D. Gobert, Ping Li and Noriaki Izumi. Their work appears in journals such as Natural Computing, Frontiers in Psychology, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, International Journal of Service Science Management Engineering and Technology and Communications - Scientific letters of the University of Zilina.

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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