Shashi K. Gadia
- Computer Networks and Communications top 1%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Geography, Planning and Development top 2%
- Co-authors
- Richard T. SnodgrassSushil JajodiaJames CliffordArie SegevAbdullah Uz TanselSugam SharmaU. Sunday TimJohnny Wong
- Topics
- Advanced Database Systems and Queries (37 papers)Data Management and Algorithms (35 papers)Semantic Web and Ontologies (11 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Shashi K. Gadia
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 1.1k
- Signal Processing 834
- Artificial Intelligence 586
- Information Systems 269
- Geography, Planning and Development 112
Countries citing papers authored by Shashi K. Gadia
This map shows the geographic impact of Shashi K. Gadia'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 Shashi K. Gadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi K. Gadia more than expected).
Fields of papers citing papers by Shashi K. Gadia
This network shows the impact of papers produced by Shashi K. Gadia. 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 Shashi K. Gadia. The network helps show where Shashi K. Gadia may publish in the future.
Co-authorship network of co-authors of Shashi K. Gadia
This figure shows the co-authorship network connecting the top 25 collaborators of Shashi K. Gadia. A scholar is included among the top collaborators of Shashi K. Gadia 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 Shashi K. Gadia. Shashi K. Gadia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 2 | |
| 5 | Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era | 18 |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | The Usability of XML in Parametric Databases for Temporal Data. | 2 |
| 12 | 8 | |
| 13 | 16 | |
| 14 | Incomplete Information in Relational Temporal Databases | 39 |
| 15 | 17 | |
| 16 | Audit Trail Organization in Relational Databases. | 2 |
| 17 | Achieving zero information-loss in a classical database environment | 8 |
| 18 | The Role of Temporal Elements in Temporal Databases. | 11 |
| 19 | 41 | |
| 20 | 1 |
About Shashi K. Gadia
Shashi K. Gadia is a scholar working on Signal Processing, Computer Networks and Communications and Geography, Planning and Development, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (37 papers), Data Management and Algorithms (35 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Signal Processing (834 citations), Computer Networks and Communications (1.1k citations) and Geography, Planning and Development (112 citations). Shashi K. Gadia has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Richard T. Snodgrass, Sushil Jajodia, James Clifford, Arie Segev, Abdullah Uz Tansel, Sugam Sharma, U. Sunday Tim, Johnny Wong, S. Y. Noh and Christian S. Jensen. Their work appears in journals such as European Urology, Information Sciences 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.