Alexander Graves
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Adversarial Robustness in Machine Learning 1
- Surgery 2
- Intraperitoneal and Appendiceal Malignancies 2
- Co-authors
- Jürgen Schmidhuber (2 shared papers)S. George Fernandez (1 shared paper)Marcus Liwicki (1 shared paper)Roman Bertolami (1 shared paper)Horst Bunke (1 shared paper)Meire Fortunato (1 shared paper)Mohammad Gheshlaghi Azar (1 shared paper)Jacob Menick (1 shared paper)
- Journals
- Annals of Surgical Oncology (2 papers)The Journal of Organic Chemistry (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Surgical Case Reports (1 paper)Obstetrics & Gynecology International Journal (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Alexander Graves
8 papers receiving 1.8k citations
Alexander Graves's Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 810
- Artificial Intelligence 796
- Human-Computer Interaction 117
- Signal Processing 217
- Media Technology 176
Countries citing papers authored by Alexander Graves
This map shows the geographic impact of Alexander Graves'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 Alexander Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Graves more than expected).
Fields of papers citing papers by Alexander Graves
This network shows the impact of papers produced by Alexander Graves. 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 Alexander Graves. The network helps show where Alexander Graves may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Graves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Novel Connectionist System for Unconstrained Handwriting Recognition Hit paper breakdown → | 2009 | 1327 |
| 2 | Framewise phoneme classification with bidirectional LSTM networks Hit paper breakdown → | 2006 | 354 |
| 3 | Noisy Networks For Exploration | 2018 | 116 |
| 4 | 2016 | 23 | |
| 5 | 2020 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2016 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2019 | 0 |
About Alexander Graves
Alexander Graves is a scholar working on Artificial Intelligence, Surgery, Computer Vision and Pattern Recognition, Rheumatology and Reproductive Medicine, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Intraperitoneal and Appendiceal Malignancies (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Urologic and reproductive health conditions (1 paper), Hand Gesture Recognition Systems (1 paper), Endometriosis Research and Treatment (1 paper), Adversarial Robustness in Machine Learning (1 paper), Advanced Vision and Imaging (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (810 citations), Artificial Intelligence (796 citations), Human-Computer Interaction (117 citations), Signal Processing (217 citations) and Media Technology (176 citations). Alexander Graves has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Jürgen Schmidhuber, S. George Fernandez, Marcus Liwicki, Roman Bertolami, Horst Bunke, Meire Fortunato, Mohammad Gheshlaghi Azar, Jacob Menick, Demis Hassabis and Bilal Piot. Their work appears in journals such as Annals of Surgical Oncology, The Journal of Organic Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Surgical Case Reports and Obstetrics & Gynecology International Journal.
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.