Peter Géczy

42 papers receiving 786 citations

Peter Géczy's Hit Papers

Challenges and Future Directions of Big Data and Artificial Intelligence in Education 2020 · 435 citations
4350+2+4Years since publication100200300400

Peers

Peter Géczy
Comparison fields: 5 of 97
  • Health Informatics 59
  • Computer Science Applications 190
  • Information Systems and Management 92
  • Management Information Systems 90
  • Information Systems 211
Replace Ioannis D. Magnisalis with:
Ioannis D. Magnisalis Greece
Milena P. Ilić Serbia
Andrea Vázquez‐Ingelmo Spain
Noha Alnazzawi Saudi Arabia
Tobias Ley Estonia
Ana‐Elena Guerrero‐Roldán Spain
Isabella Seeber Austria
Jeffrey Saltz United States
Zdeněk Zdráhal United Kingdom
Sarah Oeste-Reiß Germany
Peter Géczy relative to Ioannis D. Magnisalis Greece Ioannis D. Magnisalis's profile →
Citations per field
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Ioannis D. Magnisalis · 1×
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 52 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 →
2020435
2
Business Education & Accreditation
2013179
3
CLOUDSOURCING: MANAGING CLOUD ADOPTION
201157
4
BIG DATA CHARACTERISTICS
201435
5
Rule Extraction from Trained Artificial Neural Networks.
199717
6 200710
7 20089
8 20079
9 20068
10 20107
11 19997
12 20077
13 20126
14
HYBRID CLOUD MANAGEMENT: FOUNDATIONS AND STRATEGIES
20135
15
Dynamic Sample Selection : Theory
19984
16 20074
17
Big Data Management: Relational Framework
20154
18
Superlinear Conjugate GradientMethod with Adaptable Step Length Step Length and Constant Momentum erm
20003
19 20073
20
Dynamic Sample Selection: Implementation
19983

About Peter Géczy

Peter Géczy is a scholar working on Artificial Intelligence, Information Systems and Management, Information Systems, Management Information Systems and Control and Systems Engineering, having authored 52 papers that have together received 849 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Recommender Systems and Techniques (9 papers), Control Systems and Identification (6 papers), Personal Information Management and User Behavior (6 papers), Fault Detection and Control Systems (4 papers), Fuzzy Logic and Control Systems (4 papers), Big Data and Business Intelligence (4 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Health Informatics (59 citations), Computer Science Applications (190 citations), Information Systems and Management (92 citations), Management Information Systems (90 citations) and Information Systems (211 citations). Peter Géczy has collaborated with scholars based in Japan, Canada and Brazil. Frequent co-authors include Janice D. Gobert, Ping Li, Hui Luan, Hollis Lai, Chin‐Chung Tsai, Hiroaki Ogata, Jacky Baltes, Rodrigo da Silva Guerra, Stephen J.H. Yang and Noriaki Izumi. Their work appears in journals such as Natural Computing, Frontiers in Psychology, Lecture notes in computer science, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and International Journal of Service Science Management Engineering and Technology.

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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