Toni M. Rath
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Media Technology top 10%
- Information Systems
- Co-authors
- R. ManmathaVictor LavrenkoNicholas R. Howe
- Topics
- Handwritten Text Recognition Techniques (7 papers)Image Retrieval and Classification Techniques (6 papers)Music and Audio Processing (4 papers)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR)ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
- Partner nations
- United States
In The Last Decade
Toni M. Rath
8 papers receiving 488 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 461
- Artificial Intelligence 213
- Signal Processing 71
- Media Technology 30
- Information Systems 20
Countries citing papers authored by Toni M. Rath
This map shows the geographic impact of Toni M. Rath'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 Toni M. Rath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni M. Rath more than expected).
Fields of papers citing papers by Toni M. Rath
This network shows the impact of papers produced by Toni M. Rath. 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 Toni M. Rath. The network helps show where Toni M. Rath may publish in the future.
Co-authorship network of co-authors of Toni M. Rath
This figure shows the co-authorship network connecting the top 25 collaborators of Toni M. Rath. A scholar is included among the top collaborators of Toni M. Rath 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 Toni M. Rath. Toni M. Rath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 228 | |
| 2 | Retrieval of handwritten historical document images | 2 |
| 3 | 40 | |
| 4 | 99 | |
| 5 | Indexing of Handwritten Historical Documents - Recent Progress | 34 |
| 6 | Lower-Bounding of Dynamic Time Warping Distances for Multivariate Time Series | 49 |
| 7 | 46 | |
| 8 | A Statistical Approach to Retrieving Historical Manuscript Images without Recognition | 17 |
About Toni M. Rath
Toni M. Rath is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 515 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (461 citations), Artificial Intelligence (213 citations) and Signal Processing (71 citations). Toni M. Rath has collaborated with scholars based in United States. Frequent co-authors include R. Manmatha, Victor Lavrenko and Nicholas R. Howe. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR) and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
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.