World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
21583
World Ranking
1858
National Ranking
948

Research.com Recognitions

  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - IEEE Fellow For contributions to spatial database storage methods, data mining, and geographic information systems.

Overview

Shashi Shekhar is affiliated with the University of Minnesota in the United States. Their research spans multiple fields, predominantly focusing on Computer Science and Engineering. The scientist has contributed extensively across several subfields, including Plant Science, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems, and Computer Vision and Pattern Recognition.

The body of work produced by Shekhar covers a range of topics such as Plant Stress Responses and Tolerance, Data Management and Algorithms, Human Mobility and Location-Based Analysis, Geographic Information Systems Studies, Traffic Prediction and Management Techniques, Optimal Experimental Design Methods, and Advanced Multi-Objective Optimization Algorithms.

Some of the recent papers authored or co-authored by Shashi Shekhar include:

  • Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network, 2022, Multimedia Tools and Applications
  • Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain, 2022, Sensors
  • Reactive oxygen species and reactive nitrogen species induce lysigenous aerenchyma formation through programmed cell death in rice roots under submergence, 2020, Environmental and Experimental Botany
  • Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach, 2021, ACM Transactions on Intelligent Systems and Technology
  • EESR: Energy efficient sector-based routing protocol for reliable data communication in UWSNs, 2022, Computer Communications

Frequent co-authors collaborating with Shekhar include William F. Northrop, Jayant Gupta, Sahana Basu, Gautam Kumar, and Majid Farhadloo.

The main publication venues where Shekhar's research appears most frequently are arXiv (Cornell University), Environmental and Experimental Botany, ACM Transactions on Intelligent Systems and Technology, Plant Growth Regulation, and International Journal of Business and Globalisation.

Shekhar's contributions to the field have been recognized through awards such as the Fellow of the American Association for the Advancement of Science (AAAS) in 2008 and IEEE Fellow in 2003, the latter awarded for contributions to spatial database storage methods, data mining, and geographic information systems.

Best Publications

  • Multilevel hypergraph partitioning: applications in VLSI domain

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

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

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

  • Multilevel hypergraph partitioning: application in VLSI domain

    George Karypis;Rajat Aggarwal;Vipin Kumar;Shashi Shekhar

  • Spatial Databases: A Tour

    Shashi Shekhar;Sanjay Chawla

  • Discovering colocation patterns from spatial data sets: a general approach

    Y. Huang;S. Shekhar;H. Xiong

  • Bond rating: A non-conservative application of neural networks

    Soumitra Dutta;Shashi Shekhar

  • Discovering Spatial Co-location Patterns: A Summary of Results

    Shashi Shekhar;Yan Huang

  • Encyclopedia of GIS

    Shashi Shekhar;Hui Xiong

  • A Joinless Approach for Mining Spatial Colocation Patterns

    J.S. Yoo;S. Shekhar

  • Environmental Sensor Networks

    Unknown

  • Spatial databases-accomplishments and research needs

    S. Shekhar;S. Chawla;S. Ravada;A. Fetterer

  • Capacity constrained routing algorithms for evacuation planning: a summary of results

    Qingsong Lu;Betsy George;Shashi Shekhar

  • A Unified Approach to Detecting Spatial Outliers

    Shashi Shekhar;Chang-Tien Lu;Pusheng Zhang

  • Introduction to special section on intelligent mobile knowledge discovery and management systems

    Hui Xiong;Shashi Shekhar;Alexander Tuzhilin

  • A partial join approach for mining co-location patterns

    Jin Soung Yoo;Shashi Shekhar;John Smith;Julius P. Kumquat

  • Contraflow Transportation Network Reconfiguration for Evacuation Route Planning

    Sangho Kim;S. Shekhar;M. Min

  • Discovering personally meaningful places: An interactive clustering approach

    Changqing Zhou;Dan Frankowski;Pamela Ludford;Shashi Shekhar

  • Detecting graph-based spatial outliers: algorithms and applications (a summary of results)

    Shashi Shekhar;Chang-Tien Lu;Pusheng Zhang

  • Discovering personal gazetteers: an interactive clustering approach

    Changqing Zhou;Dan Frankowski;Pamela Ludford;Shashi Shekhar

  • Identifying patterns in spatial information: a survey of methods

    Shashi Shekhar;Michael R. Evans;James M. Kang;Pradeep Mohan

  • Spatial contextual classification and prediction models for mining geospatial data

    S. Shekhar;P.R. Schrater;R.R. Vatsavai;Weili Wu

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

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

Frequent Co-Authors

Vipin Kumar
Vipin Kumar University of Minnesota
Sanjay Chawla
Sanjay Chawla Qatar Computing Research Institute
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yan Huang
Yan Huang University of North Texas
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Weili Wu
Weili Wu The University of Texas at Dallas
Peter A. Hancock
Peter A. Hancock University of Central Florida
Chi-Yin Chow
Chi-Yin Chow City University of Hong Kong
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Mohamed F. Mokbel
Mohamed F. Mokbel University of Minnesota

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