Árpád Gellért
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Adrian FloreaLucian VinţanUgo FioreFrancesco PalmieriTheo UngererRemus BradConstantin-Bălă ZamfirescuP Zanetti
- Topics
- Parallel Computing and Optimization Techniques (15 papers)Manufacturing Process and Optimization (8 papers)Embedded Systems Design Techniques (7 papers)
- Partner nations
- RomaniaItalyUnited Kingdom
In The Last Decade
Árpád Gellért
46 papers receiving 384 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 159
- Computer Vision and Pattern Recognition 91
- Computer Networks and Communications 88
- Artificial Intelligence 82
- Industrial and Manufacturing Engineering 80
Countries citing papers authored by Árpád Gellért
This map shows the geographic impact of Árpád Gellért'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 Árpád Gellért with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Árpád Gellért more than expected).
Fields of papers citing papers by Árpád Gellért
This network shows the impact of papers produced by Árpád Gellért. 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 Árpád Gellért. The network helps show where Árpád Gellért may publish in the future.
Co-authorship network of co-authors of Árpád Gellért
This figure shows the co-authorship network connecting the top 25 collaborators of Árpád Gellért. A scholar is included among the top collaborators of Árpád Gellért 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 Árpád Gellért. Árpád Gellért is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 44 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | Web access mining through dynamic decision trees with markovian features | 5 |
| 19 | 15 | |
| 20 | Web page prediction enhanced with confidence mechanism | 7 |
About Árpád Gellért
Árpád Gellért is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 52 papers that have together received 427 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Manufacturing Process and Optimization (8 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (63 citations), Industrial and Manufacturing Engineering (80 citations) and Transportation (39 citations). Árpád Gellért has collaborated with scholars based in Romania, Italy and United Kingdom. Frequent co-authors include Adrian Florea, Lucian Vinţan, Ugo Fiore, Francesco Palmieri, Theo Ungerer, Remus Brad, Constantin-Bălă Zamfirescu, P Zanetti, Jan Petzold and Bogdan-Constantin Pîrvu. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.
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.