Latha S. Colby

21 papers receiving 511 citations

Peers

Latha S. Colby
Comparison fields: 5 of 26
  • Computer Networks and Communications 515
  • Signal Processing 315
  • Artificial Intelligence 219
  • Information Systems 180
  • Management Science and Operations Research 81
Replace Françoise Fabret with:
Françoise Fabret France
Roberta Cochrane United States
David Simmen United States
Oliver M. Duschka United States
Michael D. Soo United States
Nick Kline United States
Subbu N. Subramanian United States
Shaul Dar United States
T. Y. Cliff Leung United States
Florian Waas United States
Latha S. Colby relative to Françoise Fabret France Françoise Fabret's profile →
Citations per field
00.5×
Françoise Fabret · 1×
Citations per year

Countries citing papers authored by Latha S. Colby

Since Specialization
Citations

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

Fields of papers citing papers by Latha S. Colby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Latha S. Colby. 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 Latha S. Colby. The network helps show where Latha S. Colby may publish in the future.

Co-authorship network of co-authors of Latha S. Colby

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Search Driven Analysis of Heterogeneous XML Data
4
2 4
3 27
4 46
5
XQery for Analytics: Challenges and Requirements.
7
6 54
7 0
8
Aggregate Maintenance for Data Warehousing in Informix Red Brick Vista
2
9
Redbrick Vista: Aggregate Computation and Management
17
10 12
11 56
12 71
13
An Algebraic Approach to Supporting Multiple Deferred Views.
1
14
Staggered Maintenance of Multiple Views.
5
15 10
16 6
17
Query languages and a unifying framework for non-traditional data models
1
18 39
19 64
20 30

About Latha S. Colby

Latha S. Colby is a scholar working on Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (14 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Signal Processing (315 citations), Computer Networks and Communications (515 citations) and Information Systems (180 citations). Latha S. Colby has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Inderpal Singh Mumick, Timothy G. Griffin, Howard Trickey, Leonid Libkin, Daniel Lieuwen, Akira Kawaguchi, Hamid Pirahesh, Kenneth A. Ross, Kevin Beyer and Fatma Özcan. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Processing & Management and ACM SIGMOD Record.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026