Deepak Ramachandran

989 citations
40 papers · 459 · h-index 12

Impact in

Papers in

    • Topic Modeling 17
    • Speech and dialogue systems 12
    • Natural Language Processing Techniques 10
    • Multi-Agent Systems and Negotiation 4
    • Semantic Web and Ontologies 3
    • Logic, Reasoning, and Knowledge 3

Deepak Ramachandran

33 papers receiving 418 citations

Peers

Deepak Ramachandran
Comparison fields: 5 of 63
  • Artificial Intelligence 384
  • Tourism, Leisure and Hospitality Management 8
  • Computer Vision and Pattern Recognition 75
  • Health Informatics 3
  • Information Systems 38
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Ramachandran

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Ramachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Ramachandran, 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 Deepak Ramachandran Line = papers co-authored together Deepak Ramachandran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Dialog State Tracking Challenge
2013179
2 201439
3
First-Orderized ResearchCyc : Expressivity and Efficiency in a Common-Sense Ontology
200527
4 202026
5 202424
6 202318
7 202114
8 202014
9
Dialog State Tracking Challenge Handbook
201214
10 200813
11 201012
12
Landmark-Based Location Belief Tracking in a Spoken Dialog System
201211
13 199910
14 200910
15 20219
16 20227
17
Compact Propositional Encodings of First-Order Theories.
20054
18 20133
19
Compact propositional encoding of first-order theories
20053
20 20143

About Deepak Ramachandran

Deepak Ramachandran is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 40 papers that have together received 459 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Speech and dialogue systems (12 papers), Natural Language Processing Techniques (10 papers), Multi-Agent Systems and Negotiation (4 papers), Multimodal Machine Learning Applications (3 papers), Semantic Web and Ontologies (3 papers), Video Analysis and Summarization (3 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Artificial Intelligence (384 citations), Tourism, Leisure and Hospitality Management (8 citations), Computer Vision and Pattern Recognition (75 citations), Health Informatics (3 citations) and Information Systems (38 citations). Deepak Ramachandran has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Antoine Raux, J. D. Williams, Alan W. Black, Rakesh Gupta, Xikun Zhang, Ian Tenney, Yanai Elazar, Dan Roth, Blaise Thomson and Matthew Henderson. Their work appears in journals such as AI Magazine, CHEST Journal, Lara D. Veeken, Annals of the Rheumatic Diseases and British Journal of Hospital Medicine.

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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