Jayant Madhavan
About
In The Last Decade
Jayant Madhavan
43 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 2.6k
- Information Systems 2.2k
- Computer Networks and Communications 1.7k
- Management Science and Operations Research 1.2k
- Signal Processing 655
Countries citing papers authored by Jayant Madhavan
This map shows the geographic impact of Jayant Madhavan'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 Jayant Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayant Madhavan more than expected).
Fields of papers citing papers by Jayant Madhavan
This network shows the impact of papers produced by Jayant Madhavan. 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 Jayant Madhavan. The network helps show where Jayant Madhavan may publish in the future.
Co-authorship network of co-authors of Jayant Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of Jayant Madhavan. A scholar is included among the top collaborators of Jayant Madhavan 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 Jayant Madhavan. Jayant Madhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | Applying WebTables in Practice | 36 |
| 3 | Big Data Storytelling Through Interactive Maps | 9 |
| 4 | 3 | |
| 5 | 146 | |
| 6 | 21 | |
| 7 | Socialising Data with Google Fusion Tables. | 26 |
| 8 | 63 | |
| 9 | 120 | |
| 10 | 55 | |
| 11 | 10 | |
| 12 | 77 | |
| 13 | Web-scale Data Integration: You can only afford to Pay As You Go | 199 |
| 14 | Structured Data Meets the Web: A Few Observations | 25 |
| 15 | 331 | |
| 16 | 18 | |
| 17 | Corpus-based knowledge representation | 16 |
| 18 | Discovering Structure in a Corpus of Schemas. | 4 |
| 19 | 124 | |
| 20 | Generic Schema Matching with Cupid breakdown → | 704 |
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.