World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
39980
World Ranking
4670
National Ranking
2165

Mathematics

D-Index
50
Citations
23158
World Ranking
1048
National Ranking
486

Overview

Ravindra K. Ahuja is affiliated with the University of Florida in the United States. Their research spans multiple areas within computer science and engineering, with a focus on topics that include distributed control in multi-agent systems, robotic path planning algorithms, metaheuristic optimization algorithms, railway systems and energy efficiency, and advanced manufacturing and logistics optimization. Additionally, their work touches on health-related subjects such as COVID-19 impact on reproduction and child and adolescent health.

Their recent publications illustrate a breadth of interdisciplinary engagement. Notable papers include:

  • "Paediatricians' perspectives regarding breastfeeding during the Covid-19 pandemic: A cross-sectional study" (2022) published in Sri Lanka Journal of Child Health
  • "Ravindra K. Ahuja" (2020) published by Authors group
  • "SOX2 Syndrome: A Case with Typical Clinical Profile" (2021) published in Zenodo (CERN European Organization for Nuclear Research)
  • "Directed interactive topology optimization design for multi-agent affine formation maneuver control" (2024) published in Journal of applied artificial intelligence.
  • "A rough-set based goal-oriented methodology for requirements analysis in information system design" (2025) published in Systems and Soft Computing

The research venues where Ravindra K. Ahuja frequently publishes include:

  • Sri Lanka Journal of Child Health
  • Authors group
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of applied artificial intelligence.
  • Systems and Soft Computing

Collaborations feature prominently in their work, with frequent coauthors being Utkarsh Bansal, Ekansh Rathoria, Asheesh Pratap Singh, Prashant Agrawal, and Nyay Bhai Gupta. These collaborations contribute to a diverse range of topics and publications.

Their main fields of study are computer science with a total of five publications and engineering with three, aligning with their subfields of interest which include industrial and manufacturing engineering, obstetrics and gynecology, general health professions, computer networks and communications, and computer vision and pattern recognition.

Ravindra K. Ahuja's research engages with multiple main topics, reflecting an integrative approach to problems across disciplines. Key topics addressed in their research are:

  • COVID-19 Impact on Reproduction
  • Child and Adolescent Health
  • Distributed Control Multi-Agent Systems
  • Robotic Path Planning Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Railway Systems and Energy Efficiency
  • Advanced Manufacturing and Logistics Optimization

Best Publications

  • Network Flows

    R. K. Ahuja;T. L. Magnanti;J. B. Orlin

  • Network Flows: Theory, Algorithms, and Applications

    Ravindra K. Ahuja;Thomas L. Magnanti;James B. Orlin

  • Faster Algorithms for the Shortest Path Problem

    Ravindra K. Ahuja;Kurt Mehlhorn;James Orlin;Robert E. Tarjan

  • A survey of very large-scale neighborhood search techniques

    Ravindra K. Ahuja;Özlem Ergun;James B. Orlin;Abraham P. Punnen

  • Inverse Optimization

    Ravindra K. Ahuja;James B. Orlin

  • A greedy genetic algorithm for the quadratic assignment problem

    Ravindra K. Ahuja;James B. Orlin;Ashish Tiwari

  • Exact and Heuristic Algorithms for the Weapon-Target Assignment Problem

    Ravindra K. Ahuja;Arvind Kumar;Krishna C. Jha;James B. Orlin

  • Multi-Exchange Neighborhood Structures for the Capacitated Minimum Spanning Tree Problem

    Ravindra K. Ahuja;James B. Orlin;Dushyant Sharma

  • A Fast and Simple Algorithm for the Maximum Flow Problem

    R. K. Ahuja;James B. Orlin

  • A Column Generation Approach to Radiation Therapy Treatment Planning Using Aperture Modulation

    H. Edwin Romeijn;Ravindra K. Ahuja;James F. Dempsey;Arvind Kumar

  • A novel linear programming approach to fluence map optimization for intensity modulated radiation therapy treatment planning.

    H Edwin Romeijn;Ravindra K Ahuja;James F Dempsey;Arvind Kumar

  • Improved Algorithms for Bipartite Network Flow

    Ravindra K. Ahuja;James B. Orlin;Clifford Stein

  • Solving Real-Life Railroad Blocking Problems

    Ravindra K. Ahuja;Krishna C. Jha;Jian Liu

  • Improved Time Bounds for the Maximum Flow Problem

    R. K. Ahuja;J. B. Orlin;R. E. Tarjan

  • A New Linear Programming Approach to Radiation Therapy Treatment Planning Problems

    H. Edwin Romeijn;Ravindra K. Ahuja;James F. Dempsey;Arvind Kumar

  • Solving Real-Life Locomotive-Scheduling Problems

    Ravindra K. Ahuja;Jian Liu;James B. Orlin;Dushyant Sharma

  • Finding minimum-cost flows by double scaling

    Ravindra K. Ahuja;Andrew V. Goldberg;James B. Orlin;Robert E. Tarjan

  • A Multi-Exchange Heuristic for the Single-Source Capacitated Facility Location Problem

    R. K. Ahuja;J. B. Orlin;S. Pallottino;M. P. Scaparra

  • New scaling algorithms for the assignment and minimum mean cycle problems

    James B. Orlin;Ravindra K. Ahuja

  • Robust and Online Large-Scale Optimization

    Ravindra K. Ahuja;Rolf H. Möhring;Christos D. Zaroliagis

  • Robust and Online Large-Scale Optimization: Models and Techniques for Transportation Systems

    Ravindra K. Ahuja;Rolf H. Möhring;Christos D. Zaroliagis

Frequent Co-Authors

H. Edwin Romeijn
H. Edwin Romeijn Georgia Institute of Technology
Dorit S. Hochbaum
Dorit S. Hochbaum University of California, Berkeley
Robert E. Tarjan
Robert E. Tarjan Princeton University
Ashish Tiwari
Ashish Tiwari Microsoft (United States)
Rolf H. Möhring
Rolf H. Möhring Technical University of Berlin
Horst W. Hamacher
Horst W. Hamacher Technical University of Kaiserslautern
Kurt Mehlhorn
Kurt Mehlhorn Max Planck Institute for Informatics

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