Devamanyu Hazarika

8.9k citations

30 papers · 4.7k indexed · 5 hit papers · h-index 15

Artificial Intelligence top 0.2%
Experimental and Cognitive Psychology top 1%
Computer Vision and Pattern Recognition top 1%
Signal Processing top 1%
Information Systems top 2%

Co-authors: Soujanya Poria Erik Cambria Tom Young Roger Zimmermann Amir Zadeh Louis–Philippe Morency Navonil Majumder Kenneth Kwok
Topics: Topic Modeling (18 papers)Natural Language Processing Techniques (12 papers)Sentiment Analysis and Opinion Mining (11 papers)
Cited by: Artificial Intelligence Experimental and Cognitive Psychology Signal Processing
Journals: IEEE Access Knowledge-Based Systems Information Fusion
Partner nations: Singapore United States India

In The Last Decade

Devamanyu Hazarika

29 papers receiving 4.5k citations

Hit Papers

5 papers align trajectories

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.

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

2018 2.0k citations Devamanyu Hazarika, Soujanya Poria et al. profile →
Context-Dependent Sentiment Analysis in User-Generated Videos

2017 531 citations Soujanya Poria, Erik Cambria et al. profile →
MISA

2020 490 citations Devamanyu Hazarika, Roger Zimmermann et al. profile →
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

2018 294 citations Devamanyu Hazarika, Soujanya Poria et al. PubMed profile →
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

2018 281 citations Devamanyu Hazarika, Soujanya Poria et al. profile →

Peers

Countries citing papers authored by Devamanyu Hazarika

Since Specialization

Citations

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

Fields of papers citing papers by Devamanyu Hazarika

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devamanyu Hazarika

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	KILM: Knowledge Injection into Encoder-Decoder Language Models 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yan Xu,(unknown),Devamanyu Hazarika,(unknown),Yang Liu,Dilek Hakkani‐Tür	8
2	“What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge 2023 ·Chao Zhao,Spandana Gella,Seokhwan Kim,Di Jin,Devamanyu Hazarika,Alexandros Papangelis,Behnam Hedayatnia,(unknown),Yang Liu,Dilek Hakkani‐Tür	2
3	Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information 2023 ·Yen‐Ting Lin,Alexandros Papangelis,Seokhwan Kim,Sung‐Jin Lee,Devamanyu Hazarika,(unknown),Di Jin,Yang Liu,Dilek Hakkani‐Tür	11
4	Role of Bias Terms in Dot-Product Attention 2023 ·(unknown),Devamanyu Hazarika,Dilek Hakkani-Tür	3
5	Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication 2022 ·IEEE Access ·Navonil Majumder,Deepanway Ghosal,Devamanyu Hazarika,Alexander Gelbukh,Rada Mihalcea,Soujanya Poria	14
6	Analyzing Modality Robustness in Multimodal Sentiment Analysis 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Devamanyu Hazarika,(unknown),Bo Cheng,Shuai Zhao,Roger Zimmermann,Soujanya Poria	30
7	Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning 2022 ·Yifan Chen,Devamanyu Hazarika,(unknown),Yang Liu,Di Jin,Dilek Hakkani‐Tür	3
8	Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention 2022 ·Yifan Chen,Devamanyu Hazarika,(unknown),Yang Liu,Di Jin,Dilek Hakkani‐Tür	1
9	Domain Divergences: A Survey and Empirical Analysis 2021 ·National University of Singapore ·(unknown),Devamanyu Hazarika,Min‐Yen Kan,Roger Zimmermann	13
10	Analyzing the Domain Robustness of Pretrained Language Models, Layer by Layer 2021 ·National University of Singapore ·(unknown),(unknown),(unknown),Abdul Waheed,Devamanyu Hazarika,Min‐Yen Kan,Rajiv Ratn Shah	2
11	Multimodal research in vision and language: A review of current and emerging trends 2021 ·Information Fusion ·(unknown),(unknown),Devamanyu Hazarika,(unknown),Soujanya Poria,Roger Zimmermann,Amir Zadeh	5
12	Methods for Numeracy-Preserving Word Embeddings 2020 ·(unknown),(unknown),Vivek Subramanian,Guoyin Wang,Devamanyu Hazarika,Lawrence Carin	21
13	Multimodal Research in Vision and Language: A Review of Current and\n Emerging Trends 2020 ·arXiv (Cornell University) ·(unknown),(unknown),Devamanyu Hazarika,(unknown),Soujanya Poria,Roger Zimmermann,Amir Zadeh	1
14	Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis 2018 ·Devamanyu Hazarika,Soujanya Poria,Prateek Vij,(unknown),Erik Cambria,Roger Zimmermann	63
15	ICON: Interactive Conversational Memory Network for Multimodal Emotion Detectionbreakdown → 2018 ·Devamanyu Hazarika,Soujanya Poria,Rada Mihalcea,Erik Cambria,Roger Zimmermann	281
16	Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videosbreakdown → 2018 ·PubMed ·Devamanyu Hazarika,Soujanya Poria,Amir Zadeh,Erik Cambria,Louis–Philippe Morency,Roger Zimmermann	294
17	Multimodal sentiment analysis using hierarchical fusion with context modeling 2018 ·Knowledge-Based Systems ·Navonil Majumder,Devamanyu Hazarika,Alexander Gelbukh,Erik Cambria,Soujanya Poria	264
18	Context-Dependent Sentiment Analysis in User-Generated Videosbreakdown → 2017 ·Soujanya Poria,Erik Cambria,Devamanyu Hazarika,Navonil Majumder,Amir Zadeh,Louis–Philippe Morency	531
19	Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis 2017 ·Soujanya Poria,Erik Cambria,Devamanyu Hazarika,(unknown),Amir Zadeh,Louis–Philippe Morency	134
20	A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks 2016 ·International Conference on Computational Linguistics ·Soujanya Poria,Erik Cambria,Devamanyu Hazarika,Prateek Vij	105

About Devamanyu Hazarika

Devamanyu Hazarika is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 30 papers that have together received 4.7k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (11 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Experimental and Cognitive Psychology (1.1k citations) and Signal Processing (490 citations). Devamanyu Hazarika has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Soujanya Poria, Erik Cambria, Tom Young, Roger Zimmermann, Amir Zadeh, Louis–Philippe Morency, Navonil Majumder, Kenneth Kwok, Rada Mihalcea and Alexander Gelbukh. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and Information Fusion.

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.

Explore authors with similar magnitude of impact