Anoop Deoras

1.9k total citations · 2 hit papers
25 papers, 1.2k citations indexed

About

Anoop Deoras is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anoop Deoras has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anoop Deoras's work include Natural Language Processing Techniques (20 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (12 papers). Anoop Deoras is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (12 papers). Anoop Deoras collaborates with scholars based in United States, Czechia and United Kingdom. Anoop Deoras's co-authors include Tomáš Mikolov, Ruhi Sarikaya, Jaň Černocký, Lukáš Burget, Geoffrey E. Hinton, Stefan Kombrink, Daniel Povey, Gökhan Tür, Dilek Hakkani‐Tür and Kenneth Church and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Anoop Deoras

22 papers receiving 1.1k citations

Hit Papers

Application of Deep Belief Networks for Natural Language ... 2011 2026 2016 2021 2014 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Application of Deep Belief Networks for Natural Language Understanding
    2014 333 citations Ruhi Sarikaya, Geoffrey E. Hinton et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
  2. Strategies for training large scale neural network language models
    2011 329 citations Tomáš Mikolov, Anoop Deoras et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anoop Deoras United States 13 902 221 187 79 65 25 1.2k
Stefan Kombrink Czechia 8 1.2k 1.3× 272 1.2× 260 1.4× 119 1.5× 51 0.8× 12 1.6k
Adam Pocock United Kingdom 8 465 0.5× 303 1.4× 107 0.6× 91 1.2× 41 0.6× 15 935
Alexis Battle United States 5 688 0.8× 481 2.2× 109 0.6× 71 0.9× 38 0.6× 7 1.1k
Hang Yu China 19 649 0.7× 243 1.1× 86 0.5× 118 1.5× 54 0.8× 125 1.1k
P. Viswanath India 15 601 0.7× 438 2.0× 147 0.8× 129 1.6× 52 0.8× 54 1.1k
Xiangrui Cai China 12 431 0.5× 152 0.7× 168 0.9× 42 0.5× 56 0.9× 36 729
Edmondo Trentin Italy 12 461 0.5× 175 0.8× 190 1.0× 29 0.4× 67 1.0× 52 744
Aaron Klein Germany 8 753 0.8× 236 1.1× 56 0.3× 84 1.1× 92 1.4× 25 1.2k
Chung-Chian Hsu Taiwan 16 411 0.5× 140 0.6× 105 0.6× 115 1.5× 46 0.7× 52 743
Malay K. Pakhira India 7 569 0.6× 264 1.2× 151 0.8× 120 1.5× 62 1.0× 22 915

Countries citing papers authored by Anoop Deoras

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Deoras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Deoras

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Deoras. A scholar is included among the top collaborators of Anoop Deoras 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 Anoop Deoras. Anoop Deoras 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
1.
Rahman, Shanto, et al.. (2025). UTFix: Change Aware Unit Test Repairing using LLM. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 143–168.
2.
Lin, Ziqian, et al.. (2024). Pre-trained Recommender Systems: A Causal Debiasing Perspective. 424–433. 3 indexed citations
3.
Qian, Haifeng, Sujan K. Gonugondla, Mingyue Shang, et al.. (2024). BASS: Batched Attention-optimized Speculative Sampling. 8214–8224.
4.
Kveton, Branislav, et al.. (2023). Trending Now: Modeling Trend Recommendations. 294–305. 1 indexed citations
5.
Sarikaya, Ruhi, Geoffrey E. Hinton, & Anoop Deoras. (2014). Application of Deep Belief Networks for Natural Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(4). 778–784. 333 indexed citations breakdown →
6.
Tür, Gökhan, Anoop Deoras, & Dilek Hakkani‐Tür. (2014). Detecting out-of-domain utterances addressed to a virtual personal assistant. 283–287. 15 indexed citations
7.
Anastasakos, Tasos, et al.. (2014). Task specific continuous word representations for mono and multi-lingual spoken language understanding. 3246–3250. 17 indexed citations
8.
Sarikaya, Ruhi, Aslı Çelikyılmaz, Anoop Deoras, & Minwoo Jeong. (2014). Shrinkage based features for slot tagging with conditional random fields. 268–272. 14 indexed citations
9.
Deoras, Anoop & Ruhi Sarikaya. (2013). Deep belief network based semantic taggers for spoken language understanding. 2713–2717. 40 indexed citations
10.
Tür, Gökhan, Anoop Deoras, & Dilek Hakkani‐Tür. (2013). Semantic parsing using word confusion networks with conditional random fields. 2579–2583. 29 indexed citations
11.
Deoras, Anoop, Gökhan Tür, Ruhi Sarikaya, & Dilek Hakkani-Tür. (2013). Joint Discriminative Decoding of Words and Semantic Tags for Spoken Language Understanding. IEEE Transactions on Audio Speech and Language Processing. 21(8). 1612–1621. 12 indexed citations
12.
Deoras, Anoop, Tomáš Mikolov, Stefan Kombrink, & Kenneth Church. (2012). Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model. Speech Communication. 55(1). 162–177. 25 indexed citations
13.
Deoras, Anoop, Ruhi Sarikaya, Gökhan Tür, & Dilek Hakkani‐Tür. (2012). Joint decoding for speech recognition and semantic tagging. 1067–1070. 15 indexed citations
14.
Deoras, Anoop, Tomáš Mikolov, Stefan Kombrink, & Kenneth Church. (2012). Approximate Inference: A Sampling Based Modeling Technique to Capture Complex Dependencies in a Language Model. 1 indexed citations
15.
Deoras, Anoop, Tomáš Mikolov, & Kenneth Church. (2011). A Fast Re-scoring Strategy to Capture Long-Distance Dependencies. Empirical Methods in Natural Language Processing. 1116–1127. 25 indexed citations
16.
Mikolov, Tomáš, Anoop Deoras, Daniel Povey, Lukáš Burget, & Jaň Černocký. (2011). Strategies for training large scale neural network language models. 196–201. 329 indexed citations breakdown →
17.
Mikolov, Tomáš, Stefan Kombrink, Anoop Deoras, Lukáš Burget, & Jaň Černocký. (2011). RNNLM - Recurrent Neural Network Language Modeling Toolkit. 165 indexed citations
18.
Deoras, Anoop, Tomáš Mikolov, Stefan Kombrink, Martin Karafiát, & Sanjeev Khudanpur. (2011). Variational approximation of long-span language models for lvcsr. 5532–5535. 39 indexed citations
19.
Mikolov, Tomáš, Anoop Deoras, Stefan Kombrink, Lukáš Burget, & Jaň Černocký. (2011). Empirical evaluation and combination of advanced language modeling techniques. 161 indexed citations
20.
Deoras, Anoop, Frederick Jelinek, & Yi Su. (2010). Language model adaptation using Random Forests. 5198–5201. 3 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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