Nitin Madnani
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 5%
- Education top 10%
- Co-authors
- Bonnie J. DorrMichael HeilmanJoel TetreaultMartin ChodorowMatthew SnoverAoife CahillRichard SchwartzBeata Beigman Klebanov
- Topics
- Natural Language Processing Techniques (57 papers)Topic Modeling (56 papers)Text Readability and Simplification (21 papers)
- Journals
- Proceedings of the National Academy of SciencesComputational LinguisticsLanguage Resources and Evaluation
- Partner nations
- United StatesRussiaSingapore
In The Last Decade
Nitin Madnani
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 1.4k
- Information Systems 264
- Computer Vision and Pattern Recognition 137
- Computer Science Applications 88
- Education 81
Countries citing papers authored by Nitin Madnani
This map shows the geographic impact of Nitin Madnani'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 Nitin Madnani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Madnani more than expected).
Fields of papers citing papers by Nitin Madnani
This network shows the impact of papers produced by Nitin Madnani. 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 Nitin Madnani. The network helps show where Nitin Madnani may publish in the future.
Co-authorship network of co-authors of Nitin Madnani
This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Madnani. A scholar is included among the top collaborators of Nitin Madnani 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 Nitin Madnani. Nitin Madnani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers | 8 |
| 2 | Automated Scoring: Beyond Natural Language Processing | 21 |
| 3 | 4 | |
| 4 | 5 | |
| 5 | ETS: Domain Adaptation and Stacking for Short Answer Scoring | 53 |
| 6 | Automated Scoring of Summary-Writing Tasks Designed to Measure Reading Comprehension. | 0 |
| 7 | Length of Textual Response as a Construct-Irrelevant Response Strategy: The Case of Shell Language. Research Report. ETS RR-13-07. | 3 |
| 8 | HENRY-CORE: Domain Adaptation and Stacking for Text Similarity | 5 |
| 9 | Robust Systems for Preposition Error Correction Using Wikipedia Revisions | 28 |
| 10 | Detecting Missing Hyphens in Learner Text | 4 |
| 11 | Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation | 18 |
| 12 | Identifying High-Level Organizational Elements in Argumentative Discourse | 38 |
| 13 | ETS: Discriminative Edit Models for Paraphrase Scoring | 13 |
| 14 | Re-examining Machine Translation Metrics for Paraphrase Identification | 130 |
| 15 | They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems | 27 |
| 16 | Measuring Transitivity Using Untrained Annotators | 10 |
| 17 | Are Multiple Reference Translations Necessary? Investigating the Value of Paraphrased Reference Translations in Parameter Optimization | 24 |
| 18 | Multiple Alternative Sentence Compressions and Word-Pair Antonymy for Automatic Text Summarization and Recognizing Textual Entailment | 3 |
| 19 | TREC 2007 ciQA Task: University of Maryland. | 1 |
| 20 | Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing | 22 |
About Nitin Madnani
Nitin Madnani is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (57 papers), Topic Modeling (56 papers) and Text Readability and Simplification (21 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Science Applications (88 citations) and Information Systems (264 citations). Nitin Madnani has collaborated with scholars based in United States, Russia and Singapore. Frequent co-authors include Bonnie J. Dorr, Michael Heilman, Joel Tetreault, Martin Chodorow, Matthew Snover, Aoife Cahill, Richard Schwartz, Beata Beigman Klebanov, Richard Schwartz and Anastassia Loukina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Computational Linguistics and Language Resources and Evaluation.
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.