World's Best Scientists 2026 revealed!
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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
115
Citations
93901
World Ranking
183
National Ranking
107

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2017 - SIAM Fellow For contributions to data mining and high performance computing.
  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - ACM Fellow For contributions to the design and analysis of parallel algorithms.
  • 2000 - IEEE Fellow For the development of the isoefficiency metric of scalability and contributions to scalable parallel computing.

Overview

Vipin Kumar is affiliated with the University of Minnesota in the United States and has a research portfolio spanning engineering and materials science, with significant contributions to electrical and electronic engineering and materials chemistry. Their work covers multiple subfields including biomedical engineering, information systems, and computer networks and communications.

Their research topics emphasize chalcogenide semiconductor thin films, quantum dots synthesis and properties, gas sensing nanomaterials and sensors, copper-based nanomaterials and applications, photonic crystal and fiber optics, analytical chemistry and sensors, as well as the Internet of Things and artificial intelligence.

Frequent coauthors collaborating with Vipin Kumar include:

  • D. K. Dwivedi
  • Akansha Agrwal
  • Pooja Lohia
  • Sapana Yadav
  • Adarsh Chandra Mishra

Vipin Kumar publishes regularly in journals such as the Journal of Optics, Optik, Applied Ecology and Environmental Sciences, Physica Scripta, and Sensing and Bio-Sensing Research.

Recent publications feature the following works:

  • "Simulation study of reconfigurable surface plasmon resonance refractive index sensor employing bismuth telluride and MXene nanomaterial for cancer cell detection" (2023, Physica Scripta)
  • "Performance analysis of highly sensitive PCF sensor for drug detection" (2024, Journal of Optics)
  • "Advancements in hazardous gases detection: Using dual structures of photonic crystal fiber-based sensor" (2025, Sensing and Bio-Sensing Research)
  • "Highly Sensitive and Selective Hydrogen Gas Sensor with Humidity Tolerance Using Pd-Capped SnO2 Thin Films of Various Thicknesses" (2023, Fuels)
  • "Molecular engineering strategy and optoelectronic properties of diaminobenzene-thiazole π-conjugated small donor molecules for high-performance organic solar cells" (2024, Computational and Theoretical Chemistry)

Vipin Kumar has been recognized with several awards over their career. These include fellowship honors awarded by prominent scientific organizations:

  • SIAM Fellow in 2017, for contributions to data mining and high performance computing
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2006
  • ACM Fellow in 2005, for contributions to the design and analysis of parallel algorithms
  • IEEE Fellow in 2000, for the development of the isoefficiency metric of scalability and contributions to scalable parallel computing

Best Publications

  • Anomaly detection: A survey

    Varun Chandola;Arindam Banerjee;Vipin Kumar

  • A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs

    George Karypis;Vipin Kumar

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • A Comparison of Document Clustering Techniques

    Michael Steinbach;George Karypis;Vipin Kumar

  • Chameleon: hierarchical clustering using dynamic modeling

    G. Karypis;Eui-Hong Han;V. Kumar

  • Introduction to parallel computing: design and analysis of algorithms

    Vipin Kumar;Ananth Grama;Anshul Gupta;George Karypis

  • Multilevelk-way Partitioning Scheme for Irregular Graphs

    George Karypis;Vipin Kumar

  • Multilevel hypergraph partitioning: applications in VLSI domain

    G. Karypis;R. Aggarwal;V. Kumar;S. Shekhar

  • METIS: A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices

    George Karypis;Vipin Kumar

  • Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

    Anuj Karpatne;Gowtham Atluri;James H. Faghmous;Michael Steinbach

  • Selecting the right interestingness measure for association patterns

    Pang-Ning Tan;Vipin Kumar;Jaideep Srivastava

  • A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection.

    Aleksandar Lazarevic;Levent Ertöz;Vipin Kumar;Aysel Ozgur

  • Trends in big data analytics

    Karthik Kambatla;Giorgios Kollias;Vipin Kumar;Ananth Grama

  • Multilevel hypergraph partitioning: application in VLSI domain

    George Karypis;Rajat Aggarwal;Vipin Kumar;Shashi Shekhar

  • The Top Ten Algorithms in Data Mining

    Xindong Wu;Vipin Kumar

  • Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data.

    Levent Ertöz;Michael S. Steinbach;Vipin Kumar

  • Multilevel k-way hypergraph partitioning

    George Karypis;Vipin Kumar

  • Parallel Multilevel series k -Way Partitioning Scheme for Irregular Graphs

    George Karypis;Vipin Kumar

  • Multilevel k-way Hypergraph Partitioning

    George Karypis;Vipin Kumar

  • Feature bagging for outlier detection

    Aleksandar Lazarevic;Vipin Kumar

  • Theory-guided Data Science: A New Paradigm for Scientific Discovery.

    Anuj Karpatne;Gowtham Atluri;James H. Faghmous;Michael S. Steinbach

Frequent Co-Authors

George Karypis
George Karypis University of Minnesota
Pang-Ning Tan
Pang-Ning Tan Michigan State University
Shashi Shekhar
Shashi Shekhar University of Minnesota
Nagiza F. Samatova
Nagiza F. Samatova North Carolina State University
Ananth Grama
Ananth Grama Purdue University West Lafayette
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Marina L. Gavrilova
Marina L. Gavrilova University of Calgary
Arindam Banerjee
Arindam Banerjee University of Illinois at Urbana-Champaign
David Taniar
David Taniar Monash University

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