Sandipan Dandapat

865 citations
48 papers · 464 indexed · h-index 12

Sandipan Dandapat

43 papers receiving 392 citations

Peers

Sandipan Dandapat
Comparison fields: 5 of 46
  • Artificial Intelligence 422
  • Human-Computer Interaction 23
  • Computer Vision and Pattern Recognition 72
  • Information Systems 42
  • Language and Linguistics 16
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Santanu Pal India
Spence Green United States
Manoj Pooleery United States
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Citations per year

Countries citing papers authored by Sandipan Dandapat

Since Specialization
Citations

This map shows the geographic impact of Sandipan Dandapat'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 Sandipan Dandapat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandipan Dandapat more than expected).

Fields of papers citing papers by Sandipan Dandapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandipan Dandapat. 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 Sandipan Dandapat. The network helps show where Sandipan Dandapat may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sandipan Dandapat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandipan Dandapat Line = papers co-authored together Sandipan Dandapat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20220
4 20222
5
Code-mixed parse trees and how to find them
20201
6
Processing and Understanding Mixed Language Data
20191
7
Iterative Data Augmentation for Neural Machine Translation: a Low Resource Case Study for English–Telugu
20184
8
QA RT : a system for real-time holistic quality assurance for contact center dialogues
20167
9 20161
10
Hierarchical Recursive Tagset for Annotating Cooking Recipes
20140
11
TMTprime: A Recommender System for MT and TM Integration
20134
12 20124
13
MATREX: The DCU MT System for WMT 2010
201025
14
Mitigating Problems in Analogy-based EBMT with SMT and vice versa: A Case Study with Named Entity Transliteration
20102
15
Statistically Motivated Example-based Machine Translation using Translation Memory
20108
16
A review of EBMT using proportional analogies
20095
17
A Hybrid Named Entity Recognition System for South and South East Asian Languages
200825
18
Bengali and Hindi to English Cross-language Text Retrieval under Limited Resources
20077
19 200745
20
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
200430

About Sandipan Dandapat

Sandipan Dandapat is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 464 indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Natural Language Processing Techniques (37 papers), Speech and dialogue systems (7 papers), Multimodal Machine Learning Applications (6 papers), Algorithms and Data Compression (6 papers), Text Readability and Simplification (5 papers), Text and Document Classification Technologies (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Artificial Intelligence (422 citations), Human-Computer Interaction (23 citations) and Computer Vision and Pattern Recognition (72 citations). Sandipan Dandapat has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Sudeshna Sarkar, Anupam Basu, Monojit Choudhury, Kalika Bali, Andy Way, Sunayana Sitaram, Pabitra Mitra, Sujan Kumar Saha, Sara Morrissey and Sudip Kumar Naskar. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, Computación y Sistemas, North American Chapter of the Association for Computational Linguistics and Empirical Methods in Natural Language Processing.

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.

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