Dipti Misra Sharma

103 papers receiving 698 citations

Peers

Dipti Misra Sharma
Comparison fields: 5 of 57
  • Artificial Intelligence 774
  • Computer Vision and Pattern Recognition 128
  • Language and Linguistics 82
  • Information Systems 40
  • Sociology and Political Science 19
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Countries citing papers authored by Dipti Misra Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Dipti Misra Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dipti Misra Sharma. 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 Dipti Misra Sharma. The network helps show where Dipti Misra Sharma may publish in the future.

Co-authorship network of co-authors of Dipti Misra Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Dipti Misra Sharma. A scholar is included among the top collaborators of Dipti Misra Sharma 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 Dipti Misra Sharma. Dipti Misra Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 3
3 7
4
Classification of Insincere Questions with ML and Neural Approaches.
1
5
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP.
8
6
Deep Neural Network based system for solving Arithmetic Word problems.
5
7
Linguistic approach based Transfer Learning for Sentiment Classification in Hindi
1
8 1
9
Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi.
1
10
A Finite-State Morphological Analyser for Sindhi
7
11
Towards Building Semantic Role Labeler for Indian Languages.
2
12
Applying Sanskrit Concepts for Reordering in MT
2
13
A Sandhi Splitter for Malayalam.
6
14
Towards building a Kashmiri Treebank: Setting up the Annotation Pipeline
1
15
Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing
4
16
Coupling Statistical Machine Translation with Rule-based Transfer and Generation.
12
17
Empty Categories in a Hindi Treebank.
8
18
Constraint Based Hybrid Approach to Parsing Indian Languages
9
19
Dependency Annotation Scheme for Indian Languages
90
20
Aggregating Machine Learning and Rule Based Heuristics for Named Entity Recognition
35

About Dipti Misra Sharma

Dipti Misra Sharma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 117 papers that have together received 813 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (102 papers), Topic Modeling (89 papers) and Speech and dialogue systems (22 papers). The work is most often cited by research in Artificial Intelligence (774 citations), Language and Linguistics (82 citations) and Computer Vision and Pattern Recognition (128 citations). Dipti Misra Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Samar Husain, Rajeev Sangal, Owen Rambow, Rajesh Bhatt, Martha Palmer, Fei Xia, Riyaz Ahmad Bhat, Rashmi Prasad, Aravind K. Joshi and Bharat Ram Ambati. Their work appears in journals such as Journal of Oral Pathology and Medicine, Language Resources and Evaluation and International Journal of Data Science and Analytics.

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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