László Kozma
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Thyroid Cancer Diagnosis and Treatment
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- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
Papers in
- Immunology 12
- T-cell and B-cell Immunology 6
- Immunodeficiency and Autoimmune Disorders 5
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- Algorithms and Data Compression 5
- Co-authors
- V. Stenszky (13 shared papers)Nadir R. Farid (12 shared papers)J. C. Bear (3 shared papers)M.F. Frecker (2 shared papers)Arto Klami (1 shared paper)Samuel Kaski (1 shared paper)L. Bartha (6 shared papers)Ferenc Juhász (4 shared papers)
In The Last Decade
László Kozma
45 papers receiving 468 citations
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 170
- Immunology 136
- Genetics 177
- Human-Computer Interaction 24
- Pathology and Forensic Medicine 69
Countries citing papers authored by László Kozma
This map shows the geographic impact of László Kozma'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 László Kozma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Kozma more than expected).
Fields of papers citing papers by László Kozma
This network shows the impact of papers produced by László Kozma. 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 László Kozma. The network helps show where László Kozma may publish in the future.
Co-authors
The 25 scholars most cited alongside László Kozma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 115 | |
| 2 | 1986 | 64 | |
| 3 | 2009 | 32 | |
| 4 | k Nearest Neighbors algorithm (kNN) | 2008 | 32 |
| 5 | 1983 | 29 | |
| 6 | 1987 | 22 | |
| 7 | 1986 | 18 | |
| 8 | 1986 | 16 | |
| 9 | 2009 | 13 | |
| 10 | 1981 | 12 | |
| 11 | Is the presence of distant metastasis associated with c-myc amplification in gastric cancer? | 1997 | 12 |
| 12 | The role of HLA antigens in the manifestation and course of Graves' disease. | 1986 | 11 |
| 13 | 1984 | 10 | |
| 14 | 1986 | 10 | |
| 15 | 1974 | 8 | |
| 16 | 1986 | 7 | |
| 17 | 2005 | 7 | |
| 18 | 1973 | 6 | |
| 19 | 2020 | 6 | |
| 20 | The association of IgG heavy-chain allotypes (Gm) with Graves' disease in Hungary. | 1985 | 6 |
About László Kozma
László Kozma is a scholar working on Immunology, Artificial Intelligence, Genetics, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 503 indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), T-cell and B-cell Immunology (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Algorithms and Data Compression (5 papers), Optimization and Search Problems (4 papers), Systemic Lupus Erythematosus Research (4 papers), Complexity and Algorithms in Graphs (4 papers) and Photochemistry and Electron Transfer Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Immunology (136 citations), Genetics (177 citations), Human-Computer Interaction (24 citations) and Pathology and Forensic Medicine (69 citations). László Kozma has collaborated with scholars based in Hungary, Canada and Germany. Frequent co-authors include V. Stenszky, Nadir R. Farid, J. C. Bear, M.F. Frecker, Arto Klami, Samuel Kaski, L. Bartha, Ferenc Juhász, G Szegedi and Alexander Ilin. Their work appears in journals such as Clinical Endocrinology, International Journal of Immunogenetics, Cancer, European Food Research and Technology and The Journal of Clinical Endocrinology & Metabolism.
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.