Robin Dhamankar
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
-
- Data Quality and Management
Papers in
-
- Distributed systems and fault tolerance 5
- Advanced Database Systems and Queries 4
- Advanced Data Storage Technologies 3
- Software System Performance and Reliability 1
-
- Cloud Computing and Resource Management 4
- Co-authors
- Alon Halevy (3 shared papers)Pedro Domingos (3 shared papers)AnHai Doan (3 shared papers)Jayant Madhavan (1 shared paper)Sijie Guo (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Soft Matter (1 paper)The VLDB Journal (1 paper)International Conference on Management of Data (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Robin Dhamankar
7 papers receiving 461 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 435
- Management Science and Operations Research 167
- Information Systems 296
- Computer Networks and Communications 224
- Signal Processing 45
Countries citing papers authored by Robin Dhamankar
This map shows the geographic impact of Robin Dhamankar'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 Robin Dhamankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Dhamankar more than expected).
Fields of papers citing papers by Robin Dhamankar
This network shows the impact of papers produced by Robin Dhamankar. 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 Robin Dhamankar. The network helps show where Robin Dhamankar may publish in the future.
Co-authors
The 5 scholars most cited alongside Robin Dhamankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 260 | |
| 2 | 2004 | 210 | |
| 3 | iMAP: Discovering Complex Mappings between Database Schemas. | 2004 | 46 |
| 4 | 2017 | 6 | |
| 5 | 2008 | 2 | |
| 6 | 2007 | 2 | |
| 7 | 2012 | 1 | |
| 8 | 2009 | 0 |
About Robin Dhamankar
Robin Dhamankar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Science and Operations Research and Molecular Biology, having authored 8 papers that have together received 527 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (3 papers), Semantic Web and Ontologies (2 papers), Data Quality and Management (2 papers), Software System Performance and Reliability (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (435 citations), Management Science and Operations Research (167 citations), Information Systems (296 citations), Computer Networks and Communications (224 citations) and Signal Processing (45 citations). Robin Dhamankar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alon Halevy, Pedro Domingos, AnHai Doan, Jayant Madhavan and Sijie Guo. Their work appears in journals such as Proceedings of the VLDB Endowment, Soft Matter, The VLDB Journal and International Conference on Management of Data.
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.