Sunit Gala

593 total citations
12 papers, 309 citations indexed

About

Sunit Gala is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sunit Gala has authored 12 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Sunit Gala's work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (5 papers) and Data Management and Algorithms (4 papers). Sunit Gala is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (5 papers) and Data Management and Algorithms (4 papers). Sunit Gala collaborates with scholars based in United States, Portugal and South Korea. Sunit Gala's co-authors include Amit Sheth, Won Bae Kim, Injun Choi, Tae‐Gyu Chang, José C. Prı́ncipe, Shamkant B. Navathe, Won Kim, Howard Beck and Ana Maria Tomé and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Distributed and Parallel Databases.

In The Last Decade

Sunit Gala

11 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunit Gala United States	7	196	191	129	77	63	12	309
Michael Gubanov United States	13	160 0.8×	157 0.8×	44 0.3×	138 1.8×	20 0.3×	37	325
Dang Tuan Nguyen Vietnam	9	58 0.3×	159 0.8×	32 0.2×	104 1.4×	40 0.6×	70	335
M. L. Dhore India	9	57 0.3×	158 0.8×	97 0.8×	39 0.5×	13 0.2×	45	296
Nicholas Lester United States	8	134 0.7×	120 0.6×	84 0.7×	85 1.1×	8 0.1×	22	247
J. Akilandeswari India	9	39 0.2×	99 0.5×	29 0.2×	73 0.9×	15 0.2×	35	208
Niloy Mukherjee United States	9	139 0.7×	102 0.5×	41 0.3×	61 0.8×	14 0.2×	21	332
R. Stockton Gaines United States	8	70 0.4×	58 0.3×	205 1.6×	255 3.3×	17 0.3×	18	355
Donghong Han China	10	19 0.1×	181 0.9×	52 0.4×	30 0.4×	29 0.5×	27	261
Bart Craenen United Kingdom	10	66 0.3×	95 0.5×	32 0.2×	8 0.1×	55 0.9×	23	232
Mira Balaban Israel	11	49 0.3×	131 0.7×	86 0.7×	87 1.1×	44 0.7×	46	264

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-authorship network of co-authors of Sunit Gala

This figure shows the co-authorship network connecting the top 25 collaborators of Sunit Gala. A scholar is included among the top collaborators of Sunit Gala 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 Sunit Gala. Sunit Gala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Prı́ncipe, José C., Tae‐Gyu Chang, Sunit Gala, & Ana Maria Tomé. (2003). Information processing models for automatic sleep scoring. 1804–1805. 2 indexed citations

2.

Beck, Howard, Sunit Gala, & Shamkant B. Navathe. (2003). Classification as a query processing technique in the CANDIDE semantic data model. 572–581. 7 indexed citations

3.

Gala, Sunit, et al.. (2002). Voltaire: A database programming language with a single execution model for evaluating queries, constraints and functions. 173. 283–292.

4.

Sheth, Amit, et al.. (2002). On applying classification to schema integration. Journal of Bioresource Management. 258–261. 6 indexed citations

5.

Gala, Sunit, et al.. (1995). Schema architecture of the UniSQL/M multidatabase system. 621–648. 16 indexed citations

6.

Gala, Sunit & Won Bae Kim. (1994). Database Design Methodology : Converting a Relational Schema into an Object-Relational Schema. 1(1). 9–30. 1 indexed citations

7.

Prı́ncipe, José C., Tae‐Gyu Chang, Sunit Gala, & Ana Maria Tomé. (1993). Information processing models for sleep staging. Expert Systems with Applications. 6(4). 399–409. 4 indexed citations

8.

Sheth, Amit, Sunit Gala, & Shamkant B. Navathe. (1993). ON AUTOMATIC REASONING FOR SCHEMA INTEGRATION. International Journal of Cooperative Information Systems. 2(1). 23–50. 40 indexed citations

9.

Kim, Won Bae, et al.. (1993). On resolving schematic heterogeneity in multidatabase systems. Distributed and Parallel Databases. 1(3). 251–279. 114 indexed citations

10.

Gala, Sunit. (1992). Voltaire: a database programming environment with a single execution model for evaluating queries, satisfying constraints and computing functions. University of Florida Digital Collections (University of Florida). 1 indexed citations

11.

Sheth, Amit & Sunit Gala. (1989). Attribute Relationships: An Impediment in Automating Schema Integration. Journal of Bioresource Management. 48 indexed citations

12.

Prı́ncipe, José C., Sunit Gala, & Tae‐Gyu Chang. (1989). Sleep staging automaton based on the theory of evidence. IEEE Transactions on Biomedical Engineering. 36(5). 503–509. 70 indexed citations

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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