Lovekesh Vig
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Gautam ShroffPuneet AgarwalPankaj MalhotraSucheta ChauhanJulie A. AdamsMonika SharmaShandar AhmadD. Garg
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (13 papers)Anomaly Detection Techniques and Applications (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaExpert Systems with Applications
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Lovekesh Vig
72 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 1.1k
- Computer Networks and Communications 611
- Signal Processing 414
- Computer Vision and Pattern Recognition 340
- Control and Systems Engineering 232
Countries citing papers authored by Lovekesh Vig
This map shows the geographic impact of Lovekesh Vig'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 Lovekesh Vig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lovekesh Vig more than expected).
Fields of papers citing papers by Lovekesh Vig
This network shows the impact of papers produced by Lovekesh Vig. 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 Lovekesh Vig. The network helps show where Lovekesh Vig may publish in the future.
Co-authorship network of co-authors of Lovekesh Vig
This figure shows the co-authorship network connecting the top 25 collaborators of Lovekesh Vig. A scholar is included among the top collaborators of Lovekesh Vig 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 Lovekesh Vig. Lovekesh Vig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | Improved Question Answering using Domain Prediction. | 2 |
| 9 | Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. | 5 |
| 10 | 9 | |
| 11 | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. | 3 |
| 12 | NISER: Normalized Item and Session Representations with Graph Neural Networks | 20 |
| 13 | 37 | |
| 14 | ACF Based Feature Extraction and Mixture of Expert CNNs for Pedestrian Detection | 1 |
| 15 | TimeNet: Pre-trained deep recurrent neural network for time series classification. | 6 |
| 16 | 58 | |
| 17 | Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. | 1 |
| 18 | Long Short Term Memory Networks for Anomaly Detection in Time Series.breakdown → | 748 |
| 19 | 1 | |
| 20 | A Framework for Multi-Robot Coalition Formation. | 12 |
About Lovekesh Vig
Lovekesh Vig is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Signal Processing (414 citations), Artificial Intelligence (1.1k citations) and Computer Networks and Communications (611 citations). Lovekesh Vig has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, Sucheta Chauhan, Julie A. Adams, Monika Sharma, Monika Sharma, Shandar Ahmad, D. Garg and Ramya Hebbalaguppe. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Expert Systems with Applications.
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.