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D-Index & Metrics

Computer Science

D-Index
63
Citations
26607
World Ranking
2683
National Ranking
1330

Research.com Recognitions

  • 2015 - Member of Academia Europaea

Overview

Zoran Obradovic is affiliated with Temple University in the United States and has contributed extensively to research at the intersection of computer science, engineering, and medicine. Their work predominantly focuses on areas such as artificial intelligence, electrical and electronic engineering, and safety, risk, reliability, and quality.

The scientist's research encompasses several specialized subfields including artificial intelligence, cognitive neuroscience, and signal processing. They have explored various topics such as energy load and power forecasting, power system reliability and maintenance, machine learning applications in healthcare, time series analysis and forecasting, anomaly detection techniques, topic modeling, and artificial intelligence specifically applied in healthcare contexts.

Frequent publication venues for Obradovic include IEEE Access, Proceedings of the Annual Hawaii International Conference on System Sciences, the Journal of the American Society of Nephrology, Informatics in Medicine Unlocked, and arXiv. These platforms highlight a diverse range of interdisciplinary output.

Co-authorship has played a significant role in Obradovic's scholarly work. Regular collaborators include Mladen Kezunović, Martin Pavlovski, Avrum Gillespie, Ameen Abdel Hai, and Jumanah Alshehri, indicating sustained partnerships across multiple projects.

Some notable recent papers published by Obradovic include:

  • "Big data analytics for future electricity grids" (2020), published in Electric Power Systems Research
  • "DescribePROT: database of amino acid-level protein structure and function predictions" (2020), published in Nucleic Acids Research
  • "Predicting complications of diabetes mellitus using advanced machine learning algorithms" (2020), published in the Journal of the American Medical Informatics Association
  • "Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction" (2020), published in Computer Methods and Programs in Biomedicine
  • "Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements" (2021), published in IEEE Transactions on Instrumentation and Measurement

Obradovic was recognized as a Member of Academia Europaea in 2015, an acknowledgment reflecting engagement with the broader academic community.

Best Publications

  • The unfoldomics decade: an update on intrinsically disordered proteins

    A Keith Dunker;Christopher J Oldfield;Jingwei Meng;Pedro Romero

  • Intrinsic disorder in cell-signaling and cancer-associated proteins.

    Lilia M. Iakoucheva;Celeste J. Brown;J.David Lawson;Zoran Obradović

  • Length-dependent prediction of protein intrinsic disorder

    Kang Peng;Predrag Radivojac;Slobodan Vucetic;A Keith Dunker

  • DisProt: the Database of Disordered Proteins

    Megan Sickmeier;Justin A. Hamilton;Tanguy LeGall;Vladimir Vacic

  • Intrinsic protein disorder in complete genomes.

    A K Dunker;Z Obradovic;P Romero;E C Garner

  • Intrinsic Disorder and Functional Proteomics

    Predrag Radivojac;Lilia M. Iakoucheva;Christopher J. Oldfield;Zoran Obradovic

  • Predicting Protein Disorder for N-, C-, and Internal Regions.

    X Li;P Romero;M Rani;AK Dunker

  • D2P2: database of disordered protein predictions

    Matt E. Oates;Pedro Romero;Takashi Ishida;Mohamed F. Ghalwash

  • The protein trinity--linking function and disorder.

    A. Keith Dunker;Zoran Obradovic

  • Functional anthology of intrinsic disorder. 1. Biological processes and functions of proteins with long disordered regions.

    Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Exploiting heterogeneous sequence properties improves prediction of protein disorder.

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • Optimizing long intrinsic disorder predictors with protein evolutionary information.

    Kang Peng;Slobodan Vucetic;Predrag Radivojac;Celeste J. Brown

  • Predicting Intrinsic Disorder From Amino Acid Sequence

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organisms

    Pedro R. Romero;Saima Zaidi;Ya Yin Fang;Vladimir N. Uversky

  • Protein disorder and the evolution of molecular recognition: theory, predictions and observations.

    A. K. Dunker;E. Garner;S. Guilliot;P. Romero

  • Identification and functions of usefully disordered proteins.

    A. Keith Dunker;Celeste J. Brown;Zoran Obradovic

  • Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

    Milos D. Radovic;Mohamed F. Ghalwash;Mohamed F. Ghalwash;Mohamed F. Ghalwash;Nenad Filipovic;Zoran Obradovic

  • Functional Anthology of Intrinsic Disorder. 3. Ligands, Post-Translational Modifications, and Diseases Associated with Intrinsically Disordered Proteins

    Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Functional anthology of intrinsic disorder. 2. Cellular components, domains, technical terms, developmental processes, and coding sequence diversities correlated with long disordered regions.

    Slobodan Vucetic;Hongbo Xie;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Identifying disordered regions in proteins from amino acid sequence

    P. Romero;Z. Obradovic;C. Kissinger;J.E. Villafranca

  • Thousands of proteins likely to have long disordered regions.

    P Romero;Z Obradovic;C R Kissinger;J E Villafranca

Frequent Co-Authors

Slobodan Vucetic
Slobodan Vucetic Temple University
A. Keith Dunker
A. Keith Dunker Indiana University
Vladimir N. Uversky
Vladimir N. Uversky University of South Florida
Pedro Romero
Pedro Romero University of Lausanne
Predrag Radivojac
Predrag Radivojac Northeastern University
Christopher J. Oldfield
Christopher J. Oldfield Virginia Commonwealth University
Celeste J. Brown
Celeste J. Brown University of Idaho
Mladen Kezunovic
Mladen Kezunovic Texas A&M University
Vipin Kumar
Vipin Kumar University of Minnesota
Ingrid R. Olson
Ingrid R. Olson Temple University

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