Mahesh Joshi
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Information Systems top 10%
- Molecular Biology
- Computer Science Applications top 5%
- Co-authors
- Carolyn Penstein RoséYi‐Chia WangTed PedersenRohit KumarAllen L. RobinsonSerguei PakhomovKevin GimpelRichard Maclin
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (8 papers)Advanced Text Analysis Techniques (6 papers)
- Cited by
- Artificial IntelligenceComputer Science ApplicationsDevelopmental and Educational Psychology
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Mahesh Joshi
28 papers receiving 431 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 334
- Developmental and Educational Psychology 97
- Information Systems 70
- Molecular Biology 57
- Computer Science Applications 55
Countries citing papers authored by Mahesh Joshi
This map shows the geographic impact of Mahesh Joshi'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 Mahesh Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Joshi more than expected).
Fields of papers citing papers by Mahesh Joshi
This network shows the impact of papers produced by Mahesh Joshi. 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 Mahesh Joshi. The network helps show where Mahesh Joshi may publish in the future.
Co-authorship network of co-authors of Mahesh Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Joshi. A scholar is included among the top collaborators of Mahesh Joshi 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 Mahesh Joshi. Mahesh Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | Proceedings of the NAACL HLT 2010 Student Research Workshop | 4 |
| 9 | 93 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 14 | |
| 14 | Tutorial Dialogue as Adaptive Collaborative Learning Support | 79 |
| 15 | 9 | |
| 16 | Context Based Classification for Automatic Collaborative Learning Process Analysis | 3 |
| 17 | 10 | |
| 18 | Kernel methods for word sense disambiguation and acronym expansion | 4 |
| 19 | An end-to-end supervised target-word sense disambiguation system | 3 |
| 20 | A comparative study of support vector machines applied to the supervised word sense disambiguation problem in the medical domain | 28 |
About Mahesh Joshi
Mahesh Joshi is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 28 papers that have together received 487 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (334 citations), Computer Science Applications (55 citations) and Developmental and Educational Psychology (97 citations). Mahesh Joshi has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Carolyn Penstein Rosé, Yi‐Chia Wang, Ted Pedersen, Rohit Kumar, Allen L. Robinson, Serguei Pakhomov, Kevin Gimpel, Richard Maclin, Dipanjan Das and Noah A. Smith. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Accounting Education.
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.