Dhananjay Ram

416 citations
12 papers · 192 · h-index 6

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Text Readability and Simplification
    • Semantic Web and Ontologies
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Speech Recognition and Synthesis 7
    • Natural Language Processing Techniques 6
    • Topic Modeling 3
    • Text and Document Classification Technologies 2
    • Machine Learning in Healthcare 1
    • Music and Audio Processing 5
    • Speech and Audio Processing 4

Dhananjay Ram

11 papers receiving 177 citations

Peers

Dhananjay Ram
Comparison fields: 5 of 35
  • Artificial Intelligence 173
  • Signal Processing 39
  • Computer Vision and Pattern Recognition 69
  • Computational Mathematics 1
  • Language and Linguistics 5
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Citations per field
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Citations per year

Countries citing papers authored by Dhananjay Ram

Since Specialization
Citations

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

Fields of papers citing papers by Dhananjay Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Dhananjay Ram, 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 Dhananjay Ram Line = papers co-authored together Dhananjay Ram links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018139
2 201812
3 20189
4 20169
5 20237
6 20156
7 20183
8
Subspace Regularized Dynamic Time Warping for Spoken Query Detection
20173
9 20182
10
Redundant Hash Addressing for Large-Scale Query by Example Spoken Query Detection
20161
11 20241
12
Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections.
20170

About Dhananjay Ram

Dhananjay Ram is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 192 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (6 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (4 papers), Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers), Text and Document Classification Technologies (2 papers) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Artificial Intelligence (173 citations), Signal Processing (39 citations), Computer Vision and Pattern Recognition (69 citations), Computational Mathematics (1 citation) and Language and Linguistics (5 citations). Dhananjay Ram has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Nikolaos Pappas, James Henderson, Hervé Bourlard, Afsaneh Asaei, Sheng Zha, Gaurav Gupta, Yida Wang, Hao Zhou, Jun Huan and Andréi Popescu-Belis. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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