Lukács László
Impact in
Papers in
-
- Imbalanced Data Classification Techniques 1
- Topic Modeling 1
- Algorithms and Data Compression 1
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- Spam and Phishing Detection 2
- Co-authors
- Karol Kurach (1 shared paper)Andrew Tomkins (1 shared paper)Miklós Bálint (1 shared paper)Peter Young (1 shared paper)Greg S. Corrado (1 shared paper)Vivek Ramavajjala (1 shared paper)Tobias Kaufmann (1 shared paper)Anjuli Kannan (1 shared paper)
- Journals
- International Studies in Catholic Education (1 paper)Internet Research (1 paper)Materials science forum (1 paper)SZTAKI Publication Repository (Hungarian Academy of Sciences) (2 papers)
- Partner nations
- HungaryUnited StatesGreece
In The Last Decade
Lukács László
6 papers receiving 150 citations
Peers
Comparison fields: 5 of 43
- Human-Computer Interaction 18
- Health Informatics 4
- Information Systems and Management 19
- Artificial Intelligence 86
- Information Systems 46
Countries citing papers authored by Lukács László
This map shows the geographic impact of Lukács László'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 Lukács László with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukács László more than expected).
Fields of papers citing papers by Lukács László
This network shows the impact of papers produced by Lukács László. 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 Lukács László. The network helps show where Lukács László may publish in the future.
Co-authors
The 11 scholars most cited alongside Lukács László, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 120 | |
| 2 | 2007 | 23 | |
| 3 | Semi-Supervised Learning: A Comparative Study for Web Spam and Telephone User Churn | 2007 | 10 |
| 4 | A Föld aknaproblémája és a megoldás lehetőségei, különös tekintettel a Magyar Honvédség közreműködésének javasolható irányaira III. | 1998 | 1 |
| 5 | 1997 | 1 | |
| 6 | 2013 | 1 | |
| 7 | 2013 | 0 |
About Lukács László
Lukács László is a scholar working on Artificial Intelligence, Information Systems, Political Science and International Relations, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 7 papers that have together received 156 indexed citations. Recurring topics across this work include Spam and Phishing Detection (2 papers), Imbalanced Data Classification Techniques (1 paper), Hungarian Social, Economic and Educational Studies (1 paper), Topic Modeling (1 paper), Advanced Data Compression Techniques (1 paper), Algorithms and Data Compression (1 paper), Boron and Carbon Nanomaterials Research (1 paper) and Historical and Political Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (18 citations), Health Informatics (4 citations), Information Systems and Management (19 citations), Artificial Intelligence (86 citations) and Information Systems (46 citations). Lukács László has collaborated with scholars based in Hungary, United States and Greece. Frequent co-authors include Karol Kurach, Andrew Tomkins, Miklós Bálint, Peter Young, Greg S. Corrado, Vivek Ramavajjala, Tobias Kaufmann, Anjuli Kannan, Károly Csalogány and András A. Benczúr. Their work appears in journals such as International Studies in Catholic Education, Internet Research, Materials science forum and SZTAKI Publication Repository (Hungarian Academy of 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.