Vishnu Tv

533 citations
5 papers · 93 · h-index 4

Impact in

Papers in

Journals
The European Symposium on Artificial Neural Networks (1 paper)Annual Conference of the PHM Society (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
Partner nations
IndiaMexico

In The Last Decade

Vishnu Tv

5 papers receiving 88 citations

Peers

Vishnu Tv
Comparison fields: 5 of 29
  • Signal Processing 31
  • Medical Laboratory Technology 3
  • Artificial Intelligence 64
  • Computer Networks and Communications 31
  • Industrial and Manufacturing Engineering 11
Replace Sathyan Munirathinam with:
Sathyan Munirathinam United States
Maganti Syamala India
Arvind Kumar Jain India
Arun Radhakrishnan Ethiopia
Michael D. Muhlbaier United States
Edward Chou United States
Jorge Díaz-Martínez Colombia
Thayne T. Walker United States
Eran Swears United States
Vishnu Tv relative to Sathyan Munirathinam United States Sathyan Munirathinam's profile →
Citations per field
00.5×3.9×
Sathyan Munirathinam · 1×
Citations per year

Countries citing papers authored by Vishnu Tv

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Tv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Vishnu Tv, 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 Vishnu Tv Line = papers co-authored together Vishnu Tv links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201865
2 201814
3
TimeNet: Pre-trained deep recurrent neural network for time series classification.
20176
4 20186
5 20192

About Vishnu Tv

Vishnu Tv is a scholar working on Signal Processing, Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research and Mechanical Engineering, having authored 5 papers that have together received 93 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Time Series Analysis and Forecasting (4 papers), Fault Detection and Control Systems (2 papers), Mineral Processing and Grinding (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Data Stream Mining Techniques (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Signal Processing (31 citations), Medical Laboratory Technology (3 citations), Artificial Intelligence (64 citations), Computer Networks and Communications (31 citations) and Industrial and Manufacturing Engineering (11 citations). Vishnu Tv has collaborated with scholars based in India and Mexico. Frequent co-authors include Gautam Shroff, Lovekesh Vig, Pankaj Malhotra, Puneet Agarwal, Priyanka Gupta and Pankaj Malhotra. Their work appears in journals such as The European Symposium on Artificial Neural Networks, Annual Conference of the PHM Society and Proceedings of the AAAI Conference on Artificial Intelligence.

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