Micah Hodosh
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 10%
- Computer Science Applications top 10%
- Language and Linguistics top 10%
- Topics
- Multimodal Machine Learning Applications (9 papers)Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Science Applications
- Journals
- Journal of Artificial Intelligence ResearchTransactions of the Association for Computational LinguisticsNorth American Chapter of the Association for Computational Linguistics
- Partner nations
- United States
In The Last Decade
Micah Hodosh
9 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 1.4k
- Signal Processing 50
- Computer Science Applications 40
- Language and Linguistics 35
Countries citing papers authored by Micah Hodosh
This map shows the geographic impact of Micah Hodosh'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 Micah Hodosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micah Hodosh more than expected).
Fields of papers citing papers by Micah Hodosh
This network shows the impact of papers produced by Micah Hodosh. 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 Micah Hodosh. The network helps show where Micah Hodosh may publish in the future.
Co-authorship network of co-authors of Micah Hodosh
This figure shows the co-authorship network connecting the top 25 collaborators of Micah Hodosh. A scholar is included among the top collaborators of Micah Hodosh 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 Micah Hodosh. Micah Hodosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Framing image description as a ranking task: data, models and evaluation metrics | 47 |
| 3 | Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract) | 11 |
| 4 | Natural language image description: Data, models, and evaluation | 1 |
| 5 | From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptionsbreakdown → | 1375 |
| 6 | Framing Image Description as a Ranking Task: Data, Models and Evaluation Metricsbreakdown → | 738 |
| 7 | 6 | |
| 8 | Cross-Caption Coreference Resolution for Automatic Image Understanding | 7 |
| 9 | Collecting Image Annotations Using Amazon's Mechanical Turk | 320 |
About Micah Hodosh
Micah Hodosh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Artificial Intelligence (1.4k citations) and Computer Science Applications (40 citations). Micah Hodosh has collaborated with scholars based in United States. Frequent co-authors include Julia Hockenmaier, Peter Young, Alice Lai and Cyrus Rashtchian. Their work appears in journals such as Journal of Artificial Intelligence Research, Transactions of the Association for Computational Linguistics and North American Chapter of the Association for Computational Linguistics.
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.