Dhananjay Ram

411 total citations
11 papers, 191 citations indexed

About

Dhananjay Ram is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dhananjay Ram has authored 11 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dhananjay Ram's work include Speech Recognition and Synthesis (7 papers), Music and Audio Processing (5 papers) and Natural Language Processing Techniques (5 papers). Dhananjay Ram is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Music and Audio Processing (5 papers) and Natural Language Processing Techniques (5 papers). Dhananjay Ram collaborates with scholars based in Switzerland and United States. Dhananjay Ram's co-authors include James Henderson, Nikolaos Pappas, Hervé Bourlard, Afsaneh Asaei, Sheng Zha and Andréi Popescu-Belis and has published in prestigious journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Dhananjay Ram

10 papers receiving 176 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dhananjay Ram Switzerland 6 173 69 39 9 5 11 191
Gözde Gül Şahin Türkiye 7 183 1.1× 59 0.9× 22 0.6× 19 2.1× 4 0.8× 28 245
Matthias Paulik United States 11 335 1.9× 51 0.7× 38 1.0× 7 0.8× 4 0.8× 30 348
Hao Xiong China 8 202 1.2× 70 1.0× 11 0.3× 6 0.7× 3 0.6× 13 241
Jason Riesa United States 9 231 1.3× 44 0.6× 29 0.7× 11 1.2× 7 1.4× 14 250
Ilya Oparin France 8 263 1.5× 56 0.8× 51 1.3× 12 1.3× 4 0.8× 14 302
Andras Rozsa United States 5 84 0.5× 88 1.3× 53 1.4× 6 0.7× 8 1.6× 6 131
Adrià Giménez Spain 11 209 1.2× 102 1.5× 63 1.6× 8 0.9× 5 1.0× 23 272
Xutai Ma United States 10 340 2.0× 46 0.7× 45 1.2× 8 0.9× 7 1.4× 16 364
Felix Stahlberg United Kingdom 10 262 1.5× 75 1.1× 16 0.4× 14 1.6× 3 0.6× 29 284
Ivica Nikolić Singapore 8 105 0.6× 82 1.2× 17 0.4× 8 0.9× 7 1.4× 16 123

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-authorship network of co-authors of Dhananjay Ram

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

All Works

11 of 11 papers shown
1.
Ram, Dhananjay, et al.. (2023). Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. 2775–2786. 7 indexed citations
2.
Ram, Dhananjay, Afsaneh Asaei, & Hervé Bourlard. (2018). Sparse Subspace Modeling for Query by Example Spoken Term Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(6). 1130–1143. 9 indexed citations
3.
Ram, Dhananjay, et al.. (2018). Document-Level Neural Machine Translation with Hierarchical Attention Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2947–2954. 139 indexed citations
4.
Ram, Dhananjay, et al.. (2018). CNN Based Query by Example Spoken Term Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 92–96. 12 indexed citations
5.
Ram, Dhananjay, Afsaneh Asaei, & Hervé Bourlard. (2018). Phonetic subspace features for improved query by example spoken term detection. Speech Communication. 103. 27–36. 3 indexed citations
6.
Asaei, Afsaneh, Dhananjay Ram, & Hervé Bourlard. (2018). Phonological Posterior Hashing for Query by Example Spoken Term Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2067–2071. 2 indexed citations
7.
Pappas, Nikolaos, et al.. (2017). Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections..
8.
Ram, Dhananjay, Afsaneh Asaei, & Hervé Bourlard. (2017). Subspace Regularized Dynamic Time Warping for Spoken Query Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
9.
Ram, Dhananjay, Afsaneh Asaei, & Hervé Bourlard. (2016). Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 918–922. 9 indexed citations
10.
Asaei, Afsaneh, Dhananjay Ram, & Hervé Bourlard. (2016). Redundant Hash Addressing for Large-Scale Query by Example Spoken Query Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
11.
Ram, Dhananjay, et al.. (2015). Sparse modeling of posterior exemplars for keyword detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3690–3694. 6 indexed citations

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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