Sunit Gala

593 citations
12 papers · 309 · h-index 7

Impact in

Papers in

Sunit Gala

11 papers receiving 264 citations

Peers

Sunit Gala
Comparison fields: 5 of 40
  • Signal Processing 129
  • Computer Networks and Communications 196
  • Artificial Intelligence 191
  • Management Science and Operations Research 43
  • Information Systems 77
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Sunit Gala relative to Niloy Mukherjee United States Niloy Mukherjee's profile →
Citations per field
00.5×3.6×
Niloy Mukherjee · 1×
Citations per year

Countries citing papers authored by Sunit Gala

Since Specialization
Citations

This map shows the geographic impact of Sunit Gala'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 Sunit Gala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunit Gala more than expected).

Fields of papers citing papers by Sunit Gala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunit Gala. 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 Sunit Gala. The network helps show where Sunit Gala may publish in the future.

Co-authors

The 9 scholars most cited alongside Sunit Gala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunit Gala Line = papers co-authored together Sunit Gala links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1993114
2 198970
3
Attribute Relationships: An Impediment in Automating Schema Integration
198948
4 199340
5
Schema architecture of the UniSQL/M multidatabase system
199516
6 20037
7 20026
8 19934
9 20032
10
Voltaire: a database programming environment with a single execution model for evaluating queries, satisfying constraints and computing functions
19921
11
Database Design Methodology : Converting a Relational Schema into an Object-Relational Schema
19941
12 20020

About Sunit Gala

Sunit Gala is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Management Science and Operations Research, having authored 12 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (5 papers), Data Management and Algorithms (4 papers), Time Series Analysis and Forecasting (2 papers), Distributed systems and fault tolerance (2 papers), EEG and Brain-Computer Interfaces (2 papers), Distributed and Parallel Computing Systems (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Signal Processing (129 citations), Computer Networks and Communications (196 citations), Artificial Intelligence (191 citations), Management Science and Operations Research (43 citations) and Information Systems (77 citations). Sunit Gala has collaborated with scholars based in United States, Portugal and South Korea. Frequent co-authors include Amit Sheth, Injun Choi, Won Bae Kim, José C. Prı́ncipe, Tae‐Gyu Chang, Shamkant B. Navathe, Won Kim, Howard Beck and Ana Maria Tomé. Their work appears in journals such as Distributed and Parallel Databases, IEEE Transactions on Biomedical Engineering, Expert Systems with Applications, International Journal of Cooperative Information Systems and Journal of Bioresource Management.

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.

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