Vikram Goyal
Impact in
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Topic Modeling 8
- Internet Traffic Analysis and Secure E-voting 6
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 5
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- Data Mining Algorithms and Applications 9
- Co-authors
- Tanmoy Chakraborty (7 shared papers)Dhaval Patel (1 shared paper)Ashish Sureka (1 shared paper)Anand Gupta (7 shared papers)Shyam Gupta (2 shared papers)Mukesh Mohania (4 shared papers)Shamkant B. Navathe (2 shared papers)Sushil K. Prasad (2 shared papers)
- Journals
- Applied Intelligence (3 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)Big Data Research (1 paper)Journal of Information Security and Applications (1 paper)GeoInformatica (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Vikram Goyal
40 papers receiving 198 citations
Peers
Comparison fields: 5 of 49
- Information Systems 123
- Signal Processing 57
- Computational Theory and Mathematics 71
- Artificial Intelligence 124
- Marketing 15
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 33 | |
| 2 | 2017 | 32 | |
| 3 | 2014 | 20 | |
| 4 | 2008 | 19 | |
| 5 | 2018 | 10 | |
| 6 | 2006 | 7 | |
| 7 | Top-K high utility episode mining in complex event sequence | 2015 | 6 |
| 8 | 2019 | 6 | |
| 9 | Assistive and Enabling Technology Needs of Elderly People in India: Issues and Initial Results | 2009 | 6 |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2022 | 4 | |
| 16 | Automatic Retrieval of Actionable Information from Disaster-related Microblogs. | 2017 | 3 |
| 17 | 2023 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2006 | 3 | |
| 20 | 2006 | 3 |
About Vikram Goyal
Vikram Goyal is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computational Theory and Mathematics, having authored 42 papers that have together received 212 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Data Management and Algorithms (8 papers), Topic Modeling (8 papers), Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Natural Language Processing Techniques (5 papers), Advanced Text Analysis Techniques (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Information Systems (123 citations), Signal Processing (57 citations), Computational Theory and Mathematics (71 citations), Artificial Intelligence (124 citations) and Marketing (15 citations). Vikram Goyal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Tanmoy Chakraborty, Dhaval Patel, Ashish Sureka, Anand Gupta, Shyam Gupta, Mukesh Mohania, Shamkant B. Navathe, Sushil K. Prasad, Rishabh Gupta and Michael McDermott. Their work appears in journals such as Applied Intelligence, ACM Transactions on Knowledge Discovery from Data, Big Data Research, Journal of Information Security and Applications and GeoInformatica.
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.