Mohammed Ehsan Hoque

102 papers receiving 2.8k citations

Mohammed Ehsan Hoque's Hit Papers

Integrating Multimodal Information in Large Pretrained Transformers 2020 · 445 citations
4450+2+4Years since publication100200300400

Peers

Mohammed Ehsan Hoque
Comparison fields: 5 of 94
  • Health Informatics 106
  • Human-Computer Interaction 316
  • Experimental and Cognitive Psychology 678
  • Artificial Intelligence 853
  • Social Psychology 527
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Giota Stratou United States
Ron Artstein United States
Willem‐Paul Brinkman Netherlands
Michael McTear United Kingdom
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Hatice Güneş United Kingdom
David R. Traum United States
Christine Lisetti United States
Sharath Chandra Guntuku United States
Malte Friedrich Jung United States
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Countries citing papers authored by Mohammed Ehsan Hoque

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Ehsan Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Ehsan Hoque. 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 Mohammed Ehsan Hoque. The network helps show where Mohammed Ehsan Hoque may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrating Multimodal Information in Large Pretrained Transformers
Hit paper breakdown →
2020445
2 2013252
3 2012127
4 2019123
5 2016115
6 201598
7 201593
8 202084
9 201276
10 202159
11 202057
12 201156
13 202156
14 200951
15 202051
16 201847
17 201946
18 202344
19 200943
20 201743

About Mohammed Ehsan Hoque

Mohammed Ehsan Hoque is a scholar working on Experimental and Cognitive Psychology, Social Psychology, Artificial Intelligence, Health Information Management and Human-Computer Interaction, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (31 papers), Social Robot Interaction and HRI (17 papers), Artificial Intelligence in Healthcare (10 papers), Speech and dialogue systems (9 papers), Voice and Speech Disorders (7 papers), Innovative Human-Technology Interaction (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Health Informatics (106 citations), Human-Computer Interaction (316 citations), Experimental and Cognitive Psychology (678 citations), Artificial Intelligence (853 citations) and Social Psychology (527 citations). Mohammed Ehsan Hoque has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include Rosalind W. Picard, Md. Iftekhar Tanveer, Louis‐Philippe Morency, Wasifur Rahman, AmirAli Bagher Zadeh, Sangwu Lee, Md. Kamrul Hasan, Chengfeng Mao, Mohammad Rafayet Ali and Iftekhar Naim. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Affective Computing, American Journal of Geriatric Psychiatry, Humanities and Social Sciences Communications and Journal of Parkinson s Disease.

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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