Suma Bhat

1.2k citations
63 papers · 565 · h-index 16

Impact in

Papers in

Suma Bhat

57 papers receiving 530 citations

Peers

Suma Bhat
Comparison fields: 5 of 65
  • Computer Science Applications 114
  • Artificial Intelligence 369
  • Developmental and Educational Psychology 61
  • Health Informatics 6
  • Experimental and Cognitive Psychology 48
Replace Elijah Mayfield with:
Elijah Mayfield United States
Bruce M. McLaren Germany
Thiemo Wambsganß Switzerland
Stefan Slater United States
Menno van Zaanen Netherlands
Snigdha Chaturvedi United States
Maxim Mozgovoy Japan
Shakeel Khoja Pakistan
Luanne Freund Canada
Erica Melis⋆ Germany
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Citations per field
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Citations per year

Countries citing papers authored by Suma Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Suma Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201435
2 201834
3 202129
4 202026
5 201424
6 201823
7 202022
8 201821
9
Using conversational agents to explain medication instructions to older adults.
201820
10 200919
11 200719
12 202117
13
Seeing the Instructor in Two Video Styles: Preferences and Patterns.
201516
14 202116
15
Vocabulary Profile as a Measure of Vocabulary Sophistication
201215
16 202115
17
Learner Affect through the Looking Glass: Characterization and Detection of Confusion in Online Courses.
201714
18
Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures
201214
19 202114
20 201914

About Suma Bhat

Suma Bhat is a scholar working on Artificial Intelligence, Computer Science Applications, Education, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 565 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (34 papers), Topic Modeling (31 papers), Online Learning and Analytics (10 papers), Text Readability and Simplification (9 papers), Online and Blended Learning (6 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (6 papers) and Innovative Teaching and Learning Methods (5 papers). The work is most often cited by research in Computer Science Applications (114 citations), Artificial Intelligence (369 citations), Developmental and Educational Psychology (61 citations), Health Informatics (6 citations) and Experimental and Cognitive Psychology (48 citations). Suma Bhat has collaborated with scholars based in United States, Bulgaria and India. Frequent co-authors include Hongyu Gong, Wanzheng Zhu, Michelle Perry, Pramod Viswanath, Su‐Youn Yoon, Jianing Zhou, Najmuddin Shaik, Jinjun Xiong, Andrew S. Fister and Alla Rozovskaya. Their work appears in journals such as Speech Communication, Transactions of the Association for Computational Linguistics, The TQM Journal, Information Processing & Management and Computers in Human Behavior.

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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