World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10929
World Ranking
6120
National Ranking
2751

Research.com Recognitions

  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Vijay Saraswat is affiliated with Goldman Sachs Research in the United States. Their research predominantly spans the domain of Computer Science, focusing on several subfields including Artificial Intelligence and Computer Vision and Pattern Recognition.

The scientist's body of work addresses a range of topics such as Natural Language Processing Techniques, Topic Modeling, Advanced Graph Neural Networks, Handwritten Text Recognition Techniques, and Semantic Web and Ontologies. These areas represent core aspects of their research interests and contributions.

Publication venues for their work primarily include arXiv (Cornell University), where they have published at least two papers. The papers from 2021 include "KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction" and "Handling tree-structured text: parsing directory pages."

  • KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction, 2021, arXiv (Cornell University)
  • Handling tree-structured text: parsing directory pages, 2021, arXiv (Cornell University)

Vijay Saraswat has collaborated with several researchers, indicating a network of frequent coauthors. These include Abhishek Nadgeri, Anson Bastos, Kuldeep Singh, Isaiah Onando Mulang', and Johannes Hoffart.

  • Abhishek Nadgeri
  • Anson Bastos
  • Kuldeep Singh
  • Isaiah Onando Mulang'
  • Johannes Hoffart

Recognition for their contributions includes being named a Fellow of the Indian National Academy of Engineering (INAE), a distinction that identifies a level of professional achievement within the engineering community.

Best Publications

  • X10: an object-oriented approach to non-uniform cluster computing

    Philippe Charles;Christian Grothoff;Vijay Saraswat;Christopher Donawa

  • Concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard

  • Combinatorial sketching for finite programs

    Armando Solar-Lezama;Liviu Tancau;Rastislav Bodik;Sanjit Seshia

  • The semantic foundations of concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard;Prakash Panangaden

  • Concurrent constraint programming languages

    Dana S. Scott;Vijay Anand Saraswat

  • Design, implementation, and evaluation of the constraint language cc (FD)

    Pascal Van Hentenryck;Vijay A. Saraswat;Yves Deville

  • Complete visualizations of concurrent programs and their executions

    K.M. Kahn;V.A. Saraswat

  • Foundations of timed concurrent constraint programming

    V.A. Saraswat;R. Jagadeesan;V. Gupta

  • Sketching stencils

    Armando Solar-Lezama;Gilad Arnold;Liviu Tancau;Rastislav Bodik

  • Janus: a step towards distributed constraint programming

    Vijay A. Saraswat;Ken Kahn;Jacob Levy

  • M3R: increased performance for in-memory Hadoop jobs

    Avraham Shinnar;David Cunningham;Vijay Saraswat;Benjamin Herta

  • Method and apparatus for telephony-enabled instant messaging

    Marc Diament;Vijay Saraswat

  • Strategic directions in constraint programming

    Pascal Van Hentenryck;Vijay Saraswat

  • Timed default concurrent constraint programming

    Vijay Saraswat;Radha Jagadeesan;Vineet Gupta

  • LFG semantics via constraints

    Mary Dalrymple;John Lamping;Vijay Saraswat

  • Lifeline-based global load balancing

    Vijay A. Saraswat;Prabhanjan Kambadur;Sreedhar Kodali;David Grove

  • Semantic foundations of concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard;Prakash Panangaden

  • Idempotent work stealing

    Maged M. Michael;Martin T. Vechev;Vijay A. Saraswat

  • Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing

    Guojing Cong;S. Kodali;S. Krishnamoorthy;D. Lea

  • Transparent efficiency for in-memory execution of map reduce job sequences

    David Cunningham;Benjamin W. Herta;Vijay A. Saraswat;Avraham E. Shinnar

  • Complete Visualization of Concurrent Programs and Their Executions.

    Kenneth M. Kahn;Vijay A. Saraswat

Frequent Co-Authors

Radha Jagadeesan
Radha Jagadeesan DePaul University
David Grove
David Grove IBM (United States)
Pascal Van Hentenryck
Pascal Van Hentenryck Georgia Institute of Technology
Francesca Rossi
Francesca Rossi IBM (United States)
Fernando Pereira
Fernando Pereira Google (United States)
Rastislav Bodik
Rastislav Bodik University of Washington
Daniel G. Bobrow
Daniel G. Bobrow Palo Alto Research Center
Mirella Lapata
Mirella Lapata University of Edinburgh
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley

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