Katalin Mády
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Linguistics and Language top 5%
- Language and Linguistics top 5%
- Physiology
- Co-authors
- Uwe D. ReichelŠtefan BeňušRobert SaderLaurence WhiteAmbros J. BeerErnst J. RummenyAngela ZimmermannChristian Hannig
- Topics
- Phonetics and Phonology Research (36 papers)Speech Recognition and Synthesis (16 papers)Linguistic Variation and Morphology (11 papers)
In The Last Decade
Katalin Mády
44 papers receiving 255 citations
Peers
Comparison fields: 5 of 47
- Experimental and Cognitive Psychology 153
- Artificial Intelligence 109
- Linguistics and Language 68
- Language and Linguistics 59
- Physiology 47
Countries citing papers authored by Katalin Mády
This map shows the geographic impact of Katalin Mády'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 Katalin Mády with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Mády more than expected).
Fields of papers citing papers by Katalin Mády
This network shows the impact of papers produced by Katalin Mády. 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 Katalin Mády. The network helps show where Katalin Mády may publish in the future.
Co-authorship network of co-authors of Katalin Mády
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Mády. A scholar is included among the top collaborators of Katalin Mády 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 Katalin Mády. Katalin Mády 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 | 2 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | Voicing assimilation at accentual phrase boundaries in Hungarian. | 3 |
| 6 | 2 | |
| 7 | Modelling accentual phrase intonation in Slovak and Hungarian | 3 |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | Articulatory parameters in consonant production after tumour surgery: a real-time MRI investigation | 1 |
| 16 | 2 | |
| 17 | 47 | |
| 18 | 7 | |
| 19 | 16 | |
| 20 | Consonant articulation in glossectomee speech evaluated by dynamic MRI | 3 |
About Katalin Mády
Katalin Mády is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Language and Linguistics, having authored 48 papers that have together received 278 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (36 papers), Speech Recognition and Synthesis (16 papers) and Linguistic Variation and Morphology (11 papers). The work is most often cited by research in Linguistics and Language (68 citations), Experimental and Cognitive Psychology (153 citations) and Language and Linguistics (59 citations). Katalin Mády has collaborated with scholars based in Germany, Hungary and Slovakia. Frequent co-authors include Uwe D. Reichel, Štefan Beňuš, Robert Sader, Laurence White, Ambros J. Beer, Ernst J. Rummeny, Angela Zimmermann, Christian Hannig, Philip Hoole and Silvia Benavides‐Varela. Their work appears in journals such as Brain Research, Journal of Magnetic Resonance Imaging and International Journal of Psychophysiology.
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.