István Kövesdi
- Organic Chemistry top 10%
- Molecular Biology
- Pharmaceutical Science top 5%
- Spectroscopy top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- József RábaiLászló E. KissLászló ŐrfiDániel ErösKrisztina Takács‐NovákGÿorgý KériDénes SzabóA. KUCSMAN
- Topics
- Computational Drug Discovery Methods (8 papers)Chemical Synthesis and Analysis (6 papers)Synthesis and Characterization of Heterocyclic Compounds (5 papers)
In The Last Decade
István Kövesdi
33 papers receiving 542 citations
Peers
Comparison fields: 5 of 82
- Organic Chemistry 318
- Molecular Biology 163
- Pharmaceutical Science 105
- Spectroscopy 93
- Computational Theory and Mathematics 83
Countries citing papers authored by István Kövesdi
This map shows the geographic impact of István Kövesdi'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 István Kövesdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Kövesdi more than expected).
Fields of papers citing papers by István Kövesdi
This network shows the impact of papers produced by István Kövesdi. 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 István Kövesdi. The network helps show where István Kövesdi may publish in the future.
Co-authorship network of co-authors of István Kövesdi
This figure shows the co-authorship network connecting the top 25 collaborators of István Kövesdi. A scholar is included among the top collaborators of István Kövesdi 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 István Kövesdi. István Kövesdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 30 | |
| 5 | 31 | |
| 6 | 8 | |
| 7 | 73 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 90 | |
| 11 | 3 | |
| 12 | [Biological activity and structure of antitumor compounds from Plantago media L]. | 12 |
| 13 | 11 | |
| 14 | 25 | |
| 15 | [Additional data from the NMR investigation of tofizopam]. | 1 |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 20 | |
| 20 | Aminophthalazinone derivatives 9. chemical properties of imidazo and pyrimido 2 1 a phthalazinone systems 1. studies on tautomerism | 1 |
About István Kövesdi
István Kövesdi is a scholar working on Organic Chemistry, Pharmaceutical Science and Computational Theory and Mathematics, having authored 33 papers that have together received 559 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). The work is most often cited by research in Pharmaceutical Science (105 citations), Organic Chemistry (318 citations) and Spectroscopy (93 citations). István Kövesdi has collaborated with scholars based in Hungary, France and India. Frequent co-authors include József Rábai, László E. Kiss, László Őrfi, Dániel Erös, Krisztina Takács‐Novák, Gÿorgý Kéri, Dénes Szabó, A. KUCSMAN, Csaba Szántai-Kis and Ágnes Gömöry. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Tetrahedron and Current Medicinal Chemistry.
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.