Vinayak Hegde

942 total citations
41 papers, 424 citations indexed

About

Vinayak Hegde is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vinayak Hegde has authored 41 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Science Applications, 12 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Vinayak Hegde's work include Online Learning and Analytics (17 papers), Reliability and Maintenance Optimization (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Vinayak Hegde is often cited by papers focused on Online Learning and Analytics (17 papers), Reliability and Maintenance Optimization (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Vinayak Hegde collaborates with scholars based in India, United States and Chile. Vinayak Hegde's co-authors include Robert W Biederman, J. Ronald Mikolich, K. Raja, Ratna Nandakumar, Ahmad Jabri, Isabel Hilliger, Roland Molontay, David J. Cutler, S. S. Iyengar and Héctor G. Ceballos and has published in prestigious journals such as Journal of Cardiovascular Magnetic Resonance, MethodsX and Data.

In The Last Decade

Vinayak Hegde

27 papers receiving 380 citations

Peers

Vinayak Hegde
Comparison fields: 5 of 73
  • Computer Science Applications 188
  • Artificial Intelligence 146
  • Information Systems 120
  • Computer Networks and Communications 59
  • Health Information Management 51
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Citations per field, relative to Vinayak Hegde
Vinayak Hegde · 1×
Citations per year, relative to Vinayak Hegde
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Countries citing papers authored by Vinayak Hegde

Since Specialization
Citations

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

Fields of papers citing papers by Vinayak Hegde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinayak Hegde

This figure shows the co-authorship network connecting the top 25 collaborators of Vinayak Hegde. A scholar is included among the top collaborators of Vinayak Hegde 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 Vinayak Hegde. Vinayak Hegde 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 1
6 0
7 0
8 16
9 0
10 1
11 2
12
Prediction of Sentimental Analysis using Machine Learn ing Technique
0
13 7
14 12
15 130
16
Opinion mining and market analysis
1
17
Web Performance Testing: Methodologies, Tools and Challenges
6
18 2
19 4
20
Fault Tolerant Based Embeddings of Quadtrees into Hypercubes.
5

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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