Mitchell P. Marcus
About
In The Last Decade
Mitchell P. Marcus
54 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 2.4k
- Language and Linguistics 187
- Information Systems 176
- Computer Vision and Pattern Recognition 176
- Molecular Biology 153
Countries citing papers authored by Mitchell P. Marcus
This map shows the geographic impact of Mitchell P. Marcus'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 Mitchell P. Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell P. Marcus more than expected).
Fields of papers citing papers by Mitchell P. Marcus
This network shows the impact of papers produced by Mitchell P. Marcus. 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 Mitchell P. Marcus. The network helps show where Mitchell P. Marcus may publish in the future.
Co-authorship network of co-authors of Mitchell P. Marcus
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell P. Marcus. A scholar is included among the top collaborators of Mitchell P. Marcus 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 Mitchell P. Marcus. Mitchell P. Marcus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Morphological Segmentation for Low Resource Languages | 3 |
| 2 | Low-resource Post Processing of Noisy OCR Output for Historical Corpus Digitisation | 5 |
| 3 | Unsupervised Morphology Learning with Statistical Paradigms | 8 |
| 4 | A Rule-Based Unsupervised Morphology Learning Framework. | 8 |
| 5 | Generating narrative variation in interactive fiction | 35 |
| 6 | 44 | |
| 7 | Form: an experiment in the annotation of the kinetics of gesture | 11 |
| 8 | Developing Guidelines and Ensuring Consistency for Chinese Text Annotation | 89 |
| 9 | Towards Unsupervised Extraction of Verb Paradigms from Large Corpora | 4 |
| 10 | Topic segmentation: algorithms and applications | 91 |
| 11 | Maximum entropy models for natural language ambiguity resolution | 289 |
| 12 | Three machine learning algorithms for lexical ambiguity resolution | 13 |
| 13 | New trends in natural language processing: statistical natural language processing | 5 |
| 14 | Exploring the Statistical Derivation of Transformational Rule Sequences for Part-of-Speech Tagging | 17 |
| 15 | Parsing a natural language using mutual information statistics | 72 |
| 16 | NATURAL-LANGUAGE PROCESSING | 0 |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 17 |
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.