András Kocsor
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- James T. KwokIvor W. TsangSándor PongorPaolo SonegoLászló TóthAttila Kertész‐FarkasLászló KajánJános Csirik
- Topics
- Speech Recognition and Synthesis (13 papers)Natural Language Processing Techniques (11 papers)Speech and Audio Processing (9 papers)
In The Last Decade
András Kocsor
42 papers receiving 552 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 327
- Computer Vision and Pattern Recognition 155
- Molecular Biology 153
- Signal Processing 97
- Control and Systems Engineering 59
Countries citing papers authored by András Kocsor
This map shows the geographic impact of András Kocsor'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 András Kocsor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Kocsor more than expected).
Fields of papers citing papers by András Kocsor
This network shows the impact of papers produced by András Kocsor. 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 András Kocsor. The network helps show where András Kocsor may publish in the future.
Co-authorship network of co-authors of András Kocsor
This figure shows the co-authorship network connecting the top 25 collaborators of András Kocsor. A scholar is included among the top collaborators of András Kocsor 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 András Kocsor. András Kocsor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sentence alignment of Hungarian-English parallel corpora using a hybrid algorithm | 8 |
| 2 | An on-line speaker adaptation method for HMM-based speech recognizers | 1 |
| 3 | 118 | |
| 4 | A highly accurate Named Entity corpus for Hungarian | 14 |
| 5 | Named entity recognition for Hungarian using various machine learning algorithms | 4 |
| 6 | 30 | |
| 7 | Diversified SVM ensembles for large data sets | 2 |
| 8 | 6 | |
| 9 | 50 | |
| 10 | A hierarchical evaluation methodology in speech recognition | 3 |
| 11 | Classifier combination schemes in speech impediment therapy systems | 2 |
| 12 | Classification using a sparse combination of basis functions | 2 |
| 13 | On naive Bayes in speech recognition | 17 |
| 14 | Client Behaviour Prediction in a Proactive Video Server | 1 |
| 15 | Telephone speech recognition via the combination of knowledge sources in a segmental speech model | 2 |
| 16 | Kernel machine based feature extraction algorithms for regression problems | 1 |
| 17 | Various robust search methods in a Hungarian speech recognition system | 2 |
| 18 | Various hyperplane classifiers using kernel feature spaces | 1 |
| 19 | Inequality-based approximation of matrix eigenvectors | 0 |
| 20 | Phoneme classification using kernel principal component analysis | 3 |
About András Kocsor
András Kocsor is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 609 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (11 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Artificial Intelligence (327 citations), Signal Processing (97 citations) and Computer Vision and Pattern Recognition (155 citations). András Kocsor has collaborated with scholars based in Hungary, Italy and Hong Kong. Frequent co-authors include James T. Kwok, Ivor W. Tsang, Sándor Pongor, Paolo Sonego, László Tóth, Attila Kertész‐Farkas, László Kaján, János Csirik, Richárd Farkas and Gábor Gosztolya. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and IEEE Transactions on Signal Processing.
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.