Gautam Shroff
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Information Systems top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Lovekesh VigPuneet AgarwalPankaj MalhotraHerbert B. KellerChristian BischofD. GargLipika DeyArun K. Misra
- Topics
- Topic Modeling (17 papers)Time Series Analysis and Forecasting (13 papers)Natural Language Processing Techniques (9 papers)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Gautam Shroff
79 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 863
- Computer Networks and Communications 416
- Signal Processing 412
- Information Systems 345
- Control and Systems Engineering 202
Countries citing papers authored by Gautam Shroff
This map shows the geographic impact of Gautam Shroff'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 Gautam Shroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gautam Shroff more than expected).
Fields of papers citing papers by Gautam Shroff
This network shows the impact of papers produced by Gautam Shroff. 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 Gautam Shroff. The network helps show where Gautam Shroff may publish in the future.
Co-authorship network of co-authors of Gautam Shroff
This figure shows the co-authorship network connecting the top 25 collaborators of Gautam Shroff. A scholar is included among the top collaborators of Gautam Shroff 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 Gautam Shroff. Gautam Shroff 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 | 4 | |
| 3 | Improved Question Answering using Domain Prediction. | 2 |
| 4 | 6 | |
| 5 | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. | 3 |
| 6 | NISER: Normalized Item and Session Representations with Graph Neural Networks | 20 |
| 7 | 54 | |
| 8 | Using Features From Pre-trained TimeNET For Clinical Predictions. | 14 |
| 9 | TimeNet: Pre-trained deep recurrent neural network for time series classification. | 6 |
| 10 | 9 | |
| 11 | Visual Bayesian fusion to navigate a data lake | 3 |
| 12 | Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. | 1 |
| 13 | Long Short Term Memory Networks for Anomaly Detection in Time Series.breakdown → | 748 |
| 14 | Business data fusion | 6 |
| 15 | Prescriptive information fusion | 7 |
| 16 | Graph-Parallel Entity Resolution using LSH & IMM | 6 |
| 17 | Incremental entity fusion from linked documents | 1 |
| 18 | 19 | |
| 19 | A blackboard architecture for data-intensive information fusion using locality-sensitive hashing | 0 |
| 20 | Enterprise information fusion for real-time business intelligence | 10 |
About Gautam Shroff
Gautam Shroff is a scholar working on Signal Processing, Software and Information Systems, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Time Series Analysis and Forecasting (13 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Signal Processing (412 citations), Artificial Intelligence (863 citations) and Computer Networks and Communications (416 citations). Gautam Shroff has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Lovekesh Vig, Puneet Agarwal, Pankaj Malhotra, Herbert B. Keller, Christian Bischof, Pankaj Malhotra, D. Garg, Lipika Dey, Arun K. Misra and Robert Schreiber. Their work appears in journals such as Scientific Reports, IEEE Transactions on Signal Processing and SIAM Journal on Numerical Analysis.
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.