Mihai Lintean
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Computer Science Applications top 10%
- Developmental and Educational Psychology
- Co-authors
- Vasile RusRajendra BanjadeDan ŞtefănescuNobal B. NiraulaRoger AzevedoSvetlana StoyanchevDanielle S. McNamaraPaul Piwek
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (18 papers)Advanced Text Analysis Techniques (7 papers)
- Journals
- Language Resources and EvaluationInternational Journal of Artificial Intelligence in EducationInternational Journal of Artificial Intelligence Tools
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mihai Lintean
21 papers receiving 383 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 381
- Information Systems 69
- Computer Vision and Pattern Recognition 47
- Computer Science Applications 35
- Developmental and Educational Psychology 35
Countries citing papers authored by Mihai Lintean
This map shows the geographic impact of Mihai Lintean'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 Mihai Lintean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Lintean more than expected).
Fields of papers citing papers by Mihai Lintean
This network shows the impact of papers produced by Mihai Lintean. 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 Mihai Lintean. The network helps show where Mihai Lintean may publish in the future.
Co-authorship network of co-authors of Mihai Lintean
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Lintean. A scholar is included among the top collaborators of Mihai Lintean 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 Mihai Lintean. Mihai Lintean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | An Optimal Quadratic Approach to Monolingual Paraphrase Alignment | 1 |
| 3 | On Paraphrase Identification Corpora | 15 |
| 4 | SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs. | 1 |
| 5 | Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service. | 5 |
| 6 | SEMILAR: The Semantic Similarity Toolkit | 71 |
| 7 | 23 | |
| 8 | A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics | 62 |
| 9 | Dissimilarity Kernels for Paraphrase Identification | 6 |
| 10 | Question Generation Shared Task and Evaluation Challenge -- Status Report | 14 |
| 11 | Measuring semantic similarity: representations and methods | 6 |
| 12 | Deciphering the complex nature of log-file data collected during self-regulated learning with MetaTutor | 0 |
| 13 | The Role of Prompting and Feedback in Facilitating Students' Learning about Science with MetaTutor. | 2 |
| 14 | The first question generation shared task evaluation challenge | 61 |
| 15 | The Role of Local and Global Weighting in Assessing the Semantic Similarity of Texts Using Latent Semantic Analysis | 22 |
| 16 | Paraphrase Identification Using Weighted Dependencies and Word Semantics | 6 |
| 17 | Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor. | 29 |
| 18 | Paraphrase Identification with Lexico-Syntactic Graph Subsumption. | 44 |
| 19 | Assessing Student Self-Explanations in an Intelligent Tutoring System | 3 |
| 20 | Naive Bayes and Decision Trees for Function Tagging. | 5 |
About Mihai Lintean
Mihai Lintean is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 23 papers that have together received 432 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (381 citations), Computer Science Applications (35 citations) and Information Systems (69 citations). Mihai Lintean has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vasile Rus, Rajendra Banjade, Dan Ştefănescu, Nobal B. Niraula, Roger Azevedo, Svetlana Stoyanchev, Danielle S. McNamara, Paul Piwek, Philip M. McCarthy and Arthur C. Graesser. Their work appears in journals such as Language Resources and Evaluation, International Journal of Artificial Intelligence in Education and International Journal of Artificial Intelligence Tools.
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.