Vikram Goyal
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
-
- Topic Modeling 14
- Privacy-Preserving Technologies in Data 10
- Natural Language Processing Techniques 9
- Cryptography and Data Security 9
- Advanced Text Analysis Techniques 9
- Internet Traffic Analysis and Secure E-voting 8
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- Data Management and Algorithms 14
- Co-authors
- Ashish Sureka (5 shared papers)Dhaval J. Patel (2 shared papers)Tanmoy Chakraborty (9 shared papers)Anand Kumar Gupta (11 shared papers)Swati Agarwal (1 shared paper)Mukesh Mohania (9 shared papers)Shyam Gupta (4 shared papers)Sanjay Madria (1 shared paper)
- Journals
- Applied Intelligence (3 papers)Lecture notes in computer science (23 papers)GeoInformatica (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Vikram Goyal
61 papers receiving 349 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 98
- Information Systems 199
- Computational Theory and Mathematics 99
- Artificial Intelligence 195
- Computer Networks and Communications 70
Countries citing papers authored by Vikram Goyal
This map shows the geographic impact of Vikram Goyal'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 Vikram Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Goyal more than expected).
Fields of papers citing papers by Vikram Goyal
This network shows the impact of papers produced by Vikram Goyal. 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 Vikram Goyal. The network helps show where Vikram Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Goyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2017 | 36 | |
| 3 | 2008 | 26 | |
| 4 | 2014 | 22 | |
| 5 | 2015 | 18 | |
| 6 | 2011 | 17 | |
| 7 | 2015 | 12 | |
| 8 | 2006 | 11 | |
| 9 | 2018 | 11 | |
| 10 | Top-K high utility episode mining in complex event sequence | 2015 | 8 |
| 11 | Assistive and Enabling Technology Needs of Elderly People in India: Issues and Initial Results | 2009 | 8 |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2006 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Vikram Goyal
Vikram Goyal is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computer Science Applications, having authored 68 papers that have together received 364 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Data Management and Algorithms (14 papers), Data Mining Algorithms and Applications (13 papers), Privacy-Preserving Technologies in Data (10 papers), Natural Language Processing Techniques (9 papers), Cryptography and Data Security (9 papers), Advanced Text Analysis Techniques (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Signal Processing (98 citations), Information Systems (199 citations), Computational Theory and Mathematics (99 citations), Artificial Intelligence (195 citations) and Computer Networks and Communications (70 citations). Vikram Goyal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Ashish Sureka, Dhaval J. Patel, Tanmoy Chakraborty, Anand Kumar Gupta, Swati Agarwal, Mukesh Mohania, Shyam Gupta, Sanjay Madria, Shamkant B. Navathe and Venkata M. V. Gunturi. Their work appears in journals such as Applied Intelligence, Lecture notes in computer science, GeoInformatica, ACM Transactions on Intelligent Systems and Technology and IEEE Transactions on Knowledge and Data Engineering.
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.