2026 Laks V. S. Lakshmanan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	78	1219	1178	40	35	288	21272

Research.com Recognitions

2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award
2016 - ACM Distinguished Member

Overview

Laks V. S. Lakshmanan is affiliated with the University of British Columbia in Canada. Their research contributions primarily lie within the domain of Computer Science, with a notable focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications, and Molecular Biology.

The scientist's work spans several advanced topics, including:

Advanced Graph Neural Networks
Complex Network Analysis Techniques
Topic Modeling
Graph Theory and Algorithms
Natural Language Processing Techniques
Algorithms and Data Compression
Caching and Content Delivery

Among their recent publications are:

On Directed Densest Subgraph Discovery, 2021, ACM Transactions on Database Systems
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery, 2022, Proceedings of the 2022 International Conference on Management of Data
FirmCore Decomposition of Multilayer Networks, 2022, Proceedings of the ACM Web Conference 2022
FirmTruss Community Search in Multilayer Networks, 2022, Proceedings of the VLDB Endowment
Finding locally densest subgraphs, 2022, Proceedings of the VLDB Endowment

The scientist has collaborated frequently with a number of researchers, including:

Muhammad Abdul-Mageed
Reynold Cheng
Chenhao Ma
Xiaokui Xiao
Dujian Ding

Publication venues that regularly feature their work include:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
The VLDB Journal
Proceedings of the ACM on Management of Data
Proceedings of the 2022 International Conference on Management of Data

Lakshmanan was awarded the ACM Distinguished Member status in 2016.

Best Publications

Learning influence probabilities in social networks

Amit Goyal;Francesco Bonchi;Laks V.S. Lakshmanan

1386
Citations
CELF++: optimizing the greedy algorithm for influence maximization in social networks

Amit Goyal;Wei Lu;Laks V.S. Lakshmanan

1036
Citations
Exploratory mining and pruning optimizations of constrained associations rules

Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han;Alex Pang

1024
Citations
TIMBER: A native XML database

H. V. Jagadish;S. Al-Khalifa;A. Chapman;L. V. S. Lakshmanan

626
Citations
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model

Amit Goyal;Wei Lu;Laks V.S. Lakshmanan

622
Citations
A Foundation for Multi-dimensional Databases

Marc Gyssens;Laks V. S. Lakshmanan

487
Citations
ProbView: a flexible probabilistic database system

Laks V. S. Lakshmanan;Nicola Leone;Robert Ross;V. S. Subrahmanian

473
Citations
Information and Influence Propagation in Social Networks

Wei Chen;Laks V. S. Lakshmanan;Carlos Castillo

461
Citations
Mining frequent itemsets with convertible constraints

Jian Pei;Jiawei Han;L.V.S. Lakshmanan;L.V.S. Lakshmanan

457
Citations
A data-based approach to social influence maximization

Amit Goyal;Francesco Bonchi;Laks V. S. Lakshmanan

395
Citations
TAX: A Tree Algebra for XML

H. V. Jagadish;Laks V. S. Lakshmanan;Divesh Srivastava;Keith Thompson

382
Citations
A declarative language for querying and restructuring the Web

L.V.S. Lakshmanan;F. Sadri;I.N. Subramanian

362
Citations
Minimization of tree pattern queries

Sihem Amer-Yahia;SungRan Cho;Laks V. S. Lakshmanan;Divesh Srivastava

341
Citations
Quotient cube: how to summarize the semantics of a data cube

Laks V. S. Lakshmanan;Jian Pei;Jiawei Han

326
Citations
FleXPath: flexible structure and full-text querying for XML

Sihem Amer-Yahia;Laks V. S. Lakshmanan;Shashank Pandit

291
Citations
SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems

Laks V. S. Lakshmanan;Fereidoon Sadri;Iyer N. Subramanian

269
Citations
On approximating optimum repairs for functional dependency violations

Solmaz Kolahi;Laks V. S. Lakshmanan

268
Citations
It takes variety to make a world: diversification in recommender systems

Cong Yu;Laks Lakshmanan;Sihem Amer-Yahia

260
Citations
Constraint-based, multidimensional data mining

Jiawei Han;L.V.S. Lakshmanan;R.T. Ng

259
Citations
Constraint-based clustering in large databases

Anthony K. H. Tung;Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han

242
Citations
Proceedings of the 2008 ACM SIGMOD international conference on Management of data

Laks V. S. Lakshmanan;Raymond T. Ng;Dennis Shasha

85
Citations

Frequent Co-Authors

Divesh Srivastava AT&T (United States)

Raymond T. Ng University of British Columbia

Hosagrahar V. Jagadish University of Michigan–Ann Arbor

Jiawei Han University of Illinois at Urbana-Champaign

Sihem Amer-Yahia Grenoble Alpes University

Francesco Bonchi Institute for Scientific Interchange

Jian Pei Duke University

Theodore Johnson AT&T (United States)

Cong Yu Google (United States)

Anthony K. H. Tung National University of Singapore

External Links

Personal website of Laks V. S. Lakshmanan Google Scholar page

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