Rohit Kumar

44 papers receiving 615 citations

Rohit Kumar's Hit Papers

Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis 2020 · 225 citations
2250+2+4Years since publication50100150200

Peers

Rohit Kumar
Comparison fields: 5 of 95
  • Computer Science Applications 84
  • Developmental and Educational Psychology 133
  • Signal Processing 102
  • Artificial Intelligence 309
  • Radiology, Nuclear Medicine and Imaging 156
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Md. Saifuddin Khalid Denmark
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Citations per year

Countries citing papers authored by Rohit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Hit paper breakdown →
2020225
2 2010133
3 201054
4 201530
5 200821
6 200620
7 200717
8
A Framework for Multifaceted Evaluation of Student Models.
201516
9
Respondent Selection Methods in Household Surveys
20139
10 20069
11 20168
12 20098
13 20218
14
Impact of Sales Promotion on Buyer Behaviour: An Empirical Study of Indian Retail Customers
20107
15 20177
16 20187
17 20127
18 20176
19 20166
20
Testing Forward Rate Unbiasedness in India: An Econometric Analysis of Indo - Us Forex Market
20075

About Rohit Kumar

Rohit Kumar is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Sociology and Political Science, Marketing and Signal Processing, having authored 57 papers that have together received 663 indexed citations. Recurring topics across this work include Speech and dialogue systems (11 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Innovative Teaching and Learning Methods (6 papers), Music and Audio Processing (5 papers), Multi-Agent Systems and Negotiation (5 papers), Topic Modeling (4 papers), Market Dynamics and Volatility (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). The work is most often cited by research in Computer Science Applications (84 citations), Developmental and Educational Psychology (133 citations), Signal Processing (102 citations), Artificial Intelligence (309 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Rohit Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Carolyn Penstein Rosé, Sriram Ganapathy, R. Nirmala, Shreyas Ramoji, Prasanta Ghosh, Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Prashant Krishnan, Jack Beuth and Hua Ai. Their work appears in journals such as International Journal of Artificial Intelligence in Education, IEEE Transactions on Learning Technologies, Lecture notes in computer science, IETE Technical Review and Journal of the Asia Pacific Economy.

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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