Prasad Pingali
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Algorithms and Data Compression
- Semantic Web and Ontologies
- Information Systems top 10%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 13
- Advanced Text Analysis Techniques 5
- Algorithms and Data Compression 5
- Text and Document Classification Technologies 5
- Semantic Web and Ontologies 3
- Sentiment Analysis and Opinion Mining 2
-
- Information Retrieval and Search Behavior 2
- Co-authors
- Vasudeva Varma (18 shared papers)Jagadeesh Jagarlamudi (2 shared papers)J.M. Jagadeesh (2 shared papers)Kumar Rahul (1 shared paper)Chandan Kumar (1 shared paper)Niraj Kumar (1 shared paper)
- Journals
- Information Retrieval (1 paper)Theory and applications of categories (1 paper)Journal of Intelligent Systems (1 paper)International Joint Conference on Natural Language Processing (3 papers)CLEF (Working Notes) (2 papers)
- Partner nations
- India
In The Last Decade
Prasad Pingali
18 papers receiving 212 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 234
- Information Systems 55
- Computer Vision and Pattern Recognition 20
- Management Science and Operations Research 7
- Computer Science Applications 2
Countries citing papers authored by Prasad Pingali
This map shows the geographic impact of Prasad Pingali'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 Prasad Pingali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasad Pingali more than expected).
Fields of papers citing papers by Prasad Pingali
This network shows the impact of papers produced by Prasad Pingali. 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 Prasad Pingali. The network helps show where Prasad Pingali may publish in the future.
Co-authors
The 6 scholars most cited alongside Prasad Pingali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 28 | |
| 2 | Statistical Transliteration for Cross Langauge Information Retrieval using HMM alignment and CRF | 2008 | 27 |
| 3 | Query Independent Sentence Scoring approach to DUC 2006 | 2006 | 21 |
| 4 | 2011 | 21 | |
| 5 | Experiments in Telugu NER: A Conditional Random Field Approach | 2008 | 20 |
| 6 | 2009 | 19 | |
| 7 | IIIT Hyderabad at DUC 2007 | 2007 | 18 |
| 8 | IIIT Hyderabad in Guided Summarization and Knowledge Base Population. | 2010 | 16 |
| 9 | A Character n-gram Based Approach for Improved Recall in Indian Language NER | 2008 | 16 |
| 10 | A Relevance-Based Language Modeling approach to DUC 2005 | 2005 | 16 |
| 11 | Hindi and Telugu to English Cross Language Information Retrieval at CLEF 2006 | 2006 | 13 |
| 12 | 2010 | 10 | |
| 13 | 2008 | 9 | |
| 14 | IIIT Hyderabad at CLEF 2007 - Adhoc Indian Language CLIR task | 2007 | 5 |
| 15 | Multi-lingual Indexing Support for CLIR using Language Modeling. | 2007 | 3 |
| 16 | 2007 | 3 | |
| 17 | 2010 | 2 | |
| 18 | Linking Named Entities to a Structured Knowledge Base. | 2010 | 1 |
About Prasad Pingali
Prasad Pingali is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 18 papers that have together received 248 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers), Advanced Text Analysis Techniques (5 papers), Algorithms and Data Compression (5 papers), Text and Document Classification Technologies (5 papers), Semantic Web and Ontologies (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Artificial Intelligence (234 citations), Information Systems (55 citations), Computer Vision and Pattern Recognition (20 citations), Management Science and Operations Research (7 citations) and Computer Science Applications (2 citations). Prasad Pingali has collaborated with scholars based in India. Frequent co-authors include Vasudeva Varma, Jagadeesh Jagarlamudi, J.M. Jagadeesh, Kumar Rahul, Chandan Kumar and Niraj Kumar. Their work appears in journals such as Information Retrieval, Theory and applications of categories, Journal of Intelligent Systems, International Joint Conference on Natural Language Processing and CLEF (Working Notes).
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.