2026 Robi Polikar: 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	40	9035	8780	3840	3686	190	14893

Overview

Robi Polikar is affiliated with Rowan University in the United States and has a research focus spanning computer science and biochemistry, genetics, and molecular biology. Their work integrates advanced computational methods with biological and cognitive applications.

The main fields of study for Robi Polikar include:

Computer Science
Biochemistry, Genetics and Molecular Biology

Subfields of study covered in their publications encompass:

Artificial Intelligence
Molecular Biology
Ecology
Psychiatry and Mental health
Physiology

Robi Polikar's research topics include:

Genomics and Phylogenetic Studies
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
Machine Learning in Bioinformatics
Microbial Community Ecology and Physiology
Machine Learning and Data Classification

The scientist has contributed to multiple publication venues, with some of the most frequent being:

arXiv (Cornell University)
2021 IEEE Symposium Series on Computational Intelligence (SSCI)
PeerJ
bioRxiv (Cold Spring Harbor Laboratory)
Journal of the International Neuropsychological Society

Among recent papers authored or co-authored by Robi Polikar are:

"Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease," 2020, Journal of the International Neuropsychological Society
"Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification," 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
"The Naïve Bayes classifier++ for metagenomic taxonomic classification-query evaluation," 2024, Bioinformatics
"Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences," 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
"Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering," 2023, PeerJ

Frequent collaborators with Robi Polikar include:

Gail Rosen
Bahrad A. Sokhansanj
Muhammad Jawad Umer
Emrecan Ozdogan
G. W. Dawson

Best Publications

Ensemble based systems in decision making

R. Polikar

3617
Citations
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Derong Liu;Murad Abu-Khalaf;Adel M. Alimi;Charles Anderson

1241
Citations
Learn++: an incremental learning algorithm for supervised neural networks

R. Polikar;L. Upda;S.S. Upda;V. Honavar

1165
Citations
Multiple Classifier Systems

Nikunj C. Oza;Robi. Polikar;Josef. Kittler;Fabio. Roli

1062
Citations
Incremental Learning of Concept Drift in Nonstationary Environments

R. Elwell;R. Polikar

1046
Citations
Learning in Nonstationary Environments: A Survey

Gregory Ditzler;Manuel Roveri;Cesare Alippi;Robi Polikar

857
Citations
Incremental Learning of Concept Drift from Streaming Imbalanced Data

Gregory Ditzler;Robi Polikar

448
Citations
Learning from streaming data with concept drift and imbalance: an overview

T. Ryan Hoens;Robi Polikar;Nitesh V. Chawla

365
Citations
Learn $^{++}$ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

M.D. Muhlbaier;A. Topalis;R. Polikar

294
Citations
COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

Karl B. Dyer;Robert Capo;Robi Polikar

194
Citations
Bootstrap - Inspired Techniques in Computation Intelligence

R. Polikar

184
Citations
The story of wavelets

Robi Polikar

182
Citations
An Ensemble-Based Incremental Learning Approach to Data Fusion

D. Parikh;R. Polikar

164
Citations
Hellinger distance based drift detection for nonstationary environments

Gregory Ditzler;Robi Polikar

151
Citations
Metagenome Fragment Classification Using N-Mer Frequency Profiles

Gail L. Rosen;Elaine Garbarine;Diamantino Caseiro;Robi Polikar

142
Citations
Frequency invariant classification of ultrasonic weld inspection signals

R. Polikar;L. Udpa;S.S. Udpa;T. Taylor

136
Citations
Multi-Layer and Recursive Neural Networks for Metagenomic Classification

Gregory Ditzler;Robi Polikar;Gail Rosen

114
Citations
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease

Robi Polikar;Apostolos Topalis;Devi Parikh;Deborah Green

108
Citations
An architecture for intelligent systems based on smart sensors

J. Schmalzel;F. Figueroa;J. Morris;S. Mandayam

106
Citations
Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease

Robi Polikar;Apostolos Topalis;Deborah Green;John Kounios

96
Citations
Learn++.MF: A random subspace approach for the missing feature problem

Robi Polikar;Joseph DePasquale;Hussein Syed Mohammed;Gavin Brown

94
Citations

Frequent Co-Authors

John Kounios Drexel University

Satish S. Udpa Michigan State University

Devi Parikh Facebook (United States)

Vasant Honavar Pennsylvania State University

Li-San Wang University of Pennsylvania

John Q. Trojanowski University of Pennsylvania

Virginia M.-Y. Lee University of Pennsylvania

Murray Grossman University of Pennsylvania

Josef Kittler University of Surrey

Cesare Alippi Polytechnic University of Milan

External Links

Personal website of Robi Polikar Google Scholar page

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