Igor Tatarinov
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Alon HalevyEugene J. ShekitaJayavel ShanmugasundaramChun ZhangKevin BeyerStratis D. ViglasZachary G. IvesDan Suciu
- Topics
- Semantic Web and Ontologies (16 papers)Advanced Database Systems and Queries (15 papers)Data Management and Algorithms (11 papers)
- Partner nations
- United States
In The Last Decade
Igor Tatarinov
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 1.8k
- Artificial Intelligence 1.4k
- Signal Processing 1.0k
- Information Systems 678
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Igor Tatarinov
This map shows the geographic impact of Igor Tatarinov'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 Igor Tatarinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Tatarinov more than expected).
Fields of papers citing papers by Igor Tatarinov
This network shows the impact of papers produced by Igor Tatarinov. 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 Igor Tatarinov. The network helps show where Igor Tatarinov may publish in the future.
Co-authorship network of co-authors of Igor Tatarinov
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Tatarinov. A scholar is included among the top collaborators of Igor Tatarinov 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 Igor Tatarinov. Igor Tatarinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 28 | |
| 3 | Semantic data sharing with a peer data management system | 3 |
| 4 | 219 | |
| 5 | 110 | |
| 6 | 139 | |
| 7 | Crossing the Structure Chasm | 57 |
| 8 | 7 | |
| 9 | 169 | |
| 10 | 86 | |
| 11 | Storing and querying ordered XML using a relational database systembreakdown → | 1229 |
| 12 | 27 | |
| 13 | 33 | |
| 14 | 12 | |
| 15 | 199 | |
| 16 | 79 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 17 | |
| 20 | 1 |
About Igor Tatarinov
Igor Tatarinov is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems and Management, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Advanced Database Systems and Queries (15 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Signal Processing (1.0k citations), Computer Networks and Communications (1.8k citations) and Artificial Intelligence (1.4k citations). Igor Tatarinov has collaborated with scholars based in United States. Frequent co-authors include Alon Halevy, Eugene J. Shekita, Jayavel Shanmugasundaram, Chun Zhang, Kevin Beyer, Stratis D. Viglas, Zachary G. Ives, Dan Suciu, Peter Mork and Daniel S. Weld. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record and ACM SIGPLAN Notices.
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.