Robi Polikar

10.9k total citations · 4 hit papers
144 papers, 6.6k citations indexed

About

Robi Polikar is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Robi Polikar has authored 144 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 19 papers in Molecular Biology and 17 papers in Cognitive Neuroscience. Recurrent topics in Robi Polikar's work include Data Stream Mining Techniques (33 papers), Machine Learning and Data Classification (25 papers) and Anomaly Detection Techniques and Applications (15 papers). Robi Polikar is often cited by papers focused on Data Stream Mining Techniques (33 papers), Machine Learning and Data Classification (25 papers) and Anomaly Detection Techniques and Applications (15 papers). Robi Polikar collaborates with scholars based in United States, Italy and United Kingdom. Robi Polikar's co-authors include Gregory Ditzler, Vasant Honavar, Cesare Alippi, Manuel Roveri, Nitesh V. Chawla, Gail Rosen, T. Ryan Hoens, Michael D. Muhlbaier, Apostolos Topalis and Лалита Удпа and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Brain Research.

In The Last Decade

Robi Polikar

136 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensemble based systems in decision making

2006 2.0k citations Robi Polikar profile →
Incremental Learning of Concept Drift in Nonstationary Environments

2011 610 citations Robi Polikar et al. profile →
Learn++: an incremental learning algorithm for supervised neural networks

2001 609 citations Robi Polikar, Vasant Honavar et al. profile →
Learning in Nonstationary Environments: A Survey

2015 518 citations Gregory Ditzler, Robi Polikar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robi Polikar United States	31	4.0k	954	723	630	583	144	6.6k
Lipo Wang Singapore	36	2.2k 0.6×	1.4k 1.5×	558 0.8×	475 0.8×	634 1.1×	185	6.8k
Felix A. Gers Switzerland	10	2.4k 0.6×	881 0.9×	822 1.1×	417 0.7×	1.1k 1.9×	21	6.3k
Vladimir Cherkassky United States	30	2.5k 0.6×	1.3k 1.3×	587 0.8×	404 0.6×	744 1.3×	128	6.9k
BengioYoshua	9	3.7k 0.9×	1.8k 1.9×	705 1.0×	390 0.6×	434 0.7×	10	6.8k
Jacek M. Żurada United States	36	3.7k 0.9×	1.7k 1.8×	503 0.7×	758 1.2×	943 1.6×	208	7.4k
Miroslav Kubát United States	23	4.4k 1.1×	821 0.9×	589 0.8×	567 0.9×	726 1.2×	97	6.5k
Jia Wu Australia	46	4.5k 1.1×	1.8k 1.9×	629 0.9×	780 1.2×	465 0.8×	356	7.8k
Harris Drucker United States	15	2.8k 0.7×	1.5k 1.5×	517 0.7×	516 0.8×	615 1.1×	31	6.5k
Roberto Battiti Italy	28	2.8k 0.7×	1.2k 1.3×	755 1.0×	1.1k 1.7×	1.3k 2.2×	98	6.1k
Ignacio Rojas Spain	35	2.0k 0.5×	1.1k 1.2×	368 0.5×	446 0.7×	560 1.0×	235	4.7k

Countries citing papers authored by Robi Polikar

Since Specialization

Citations

This map shows the geographic impact of Robi Polikar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robi Polikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robi Polikar more than expected).

Fields of papers citing papers by Robi Polikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robi Polikar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robi Polikar. The network helps show where Robi Polikar may publish in the future.

Co-authorship network of co-authors of Robi Polikar

This figure shows the co-authorship network connecting the top 25 collaborators of Robi Polikar. A scholar is included among the top collaborators of Robi Polikar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robi Polikar. Robi Polikar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sokhansanj, Bahrad A., et al.. (2023). Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering. PeerJ. 11. e14779–e14779. 1 indexed citations

Sokhansanj, Bahrad A., et al.. (2022). Semi-supervised and Incremental VSEARCH for Metagenomic Classification. 12. 1119–1126.

Ditzler, Gregory, et al.. (2017). Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4504–4509. 26 indexed citations

Umer, Muhammad, Robi Polikar, & Christopher J. Frederickson. (2017). LEVEL<inf>IW</inf>: Learning extreme verification latency with importance weighting. 1740–1747. 6 indexed citations

Green, Deborah L., Lisa Payne, Robi Polikar, et al.. (2015). P50: A candidate ERP biomarker of prodromal Alzheimer׳s disease. Brain Research. 1624. 390–397. 17 indexed citations

Shewokis, Patricia A., et al.. (2012). Hemodynamic Response to Repeated Noxious Cold Pressor Tests Measured by Functional Near Infrared Spectroscopy on Forehead. Annals of Biomedical Engineering. 41(2). 223–237. 22 indexed citations

Rosen, Gail, Robi Polikar, Diamantino Caseiro, Steven D. Essinger, & Bahrad A. Sokhansanj. (2011). Discovering the Unknown: Improving Detection of Novel Species and Genera from Short Reads. BioMed Research International. 2011(1). 495849–495849. 10 indexed citations

Staudinger, Thomas & Robi Polikar. (2011). Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease. PubMed. 2011. 2033–6. 48 indexed citations

DePasquale, Joseph, et al.. (2011). Information-theoretic approaches to SVM feature selection for metagenome read classification. Computational Biology and Chemistry. 35(3). 199–209. 17 indexed citations

10.

Essinger, Steven D., Robi Polikar, & Gail Rosen. (2010). Neural network-based taxonomic clustering for metagenomics. 1–7. 2 indexed citations

11.

Rosen, Gail, et al.. (2009). Signal Processing for Metagenomics: Extracting Information from the Soup. Current Genomics. 10(7). 493–510. 19 indexed citations

12.

Kounios, John, et al.. (2009). ERP based decision fusion for AD diagnosis across cohorts. PubMed. 2009. 2494–2497. 8 indexed citations

13.

Muhlbaier, Michael D., et al.. (2008). Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. Proceedings - International Conference on Pattern Recognition. 1–4. 18 indexed citations

14.

Parikh, Devi & Robi Polikar. (2007). An Ensemble-Based Incremental Learning Approach to Data Fusion. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(2). 437–450. 86 indexed citations

15.

Oza, Nikunj C., Robi Polikar, Josef Kittler, & Fabio Roli. (2005). Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 17 indexed citations

16.

Parikh, Devi, et al.. (2005). Ensemble Based Data Fusion for Early Diagnosis of Alzheimer's Disease. PubMed. 2005. 2479–2482. 13 indexed citations

17.

Topalis, Apostolos, et al.. (2005). Boosting Based Classification of Event Related Potentials for Early Diagnosis of Alzheimer's Disease. PubMed. 32. 2494–2497. 6 indexed citations

18.

Polikar, Robi, Лалита Удпа, Satish Udpa, & Vasant Honavar. (2004). An incremental learning algorithm with confidence estimation for automated identification of NDE signals. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 51(8). 990–1001. 26 indexed citations

19.

Удпа, Лалита, et al.. (2000). Neural networks for ultrasonic detection of intergranular stress corrosion cracking. 409. 215–221. 5 indexed citations

20.

Polikar, Robi, et al.. (1998). Frequency invariant classification of ultrasonic weld inspection signals. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 45(3). 614–625. 68 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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