2026 Paul Bogdan: 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	39	9906	9624	4161	3988	183	4653

Overview

Paul Bogdan is affiliated with the University of Southern California in the United States. Their research primarily lies within the field of Computer Science, covering a diverse range of subfields including Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Cognitive Neuroscience, and Hardware and Architecture.

Their work addresses multiple topics, notably:

Advanced Memory and Neural Computing
Neural dynamics and brain function
Bioinformatics and Genomic Networks
Neural Networks and Applications
Complex Network Analysis Techniques
Gene Regulatory Network Analysis
Parallel Computing and Optimization Techniques

Paul Bogdan's recent publications demonstrate a range of interdisciplinary research combining computational methods with biological and cognitive studies. Sample recent papers include:

"An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study," 2021, Scientific Reports
"Biomorphic structural batteries for robotics," 2020, Science Robotics
"Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment," 2023, Proceedings of the National Academy of Sciences
"Network science characteristics of brain-derived neuronal cultures deciphered from quantitative phase imaging data," 2020, Scientific Reports
"A COVID-19 Rumor Dataset," 2021, Frontiers in Psychology

Their frequent collaborators include:

Shahin Nazarian (29 joint works)
Xiongye Xiao (28 joint works)
Mingxi Cheng (21 joint works)
Chenzhong Yin (19 joint works)
Sérgio Pequito (11 joint works)

Paul Bogdan contributes regularly to journals and repositories such as:

arXiv (Cornell University) with 42 publications
Scientific Reports with 13 publications
bioRxiv (Cold Spring Harbor Laboratory) with 6 publications
Research Square (Research Square) with 3 publications
Advanced Science with 3 publications

Best Publications

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.

Zikun Yang;Paul Bogdan;Shahin Nazarian

216
Citations
An Analytical Approach for Network-on-Chip Performance Analysis

U Y Ogras;P Bogdan;R Marculescu

157
Citations
The Chip Is the Network: Toward a Science of Network-on-Chip Design

Radu Marculescu;Paul Bogdan

130
Citations
Biomorphic structural batteries for robotics

Mingqiang Wang;Drew Vecchio;Chunyan Wang;Ahmet Emre

121
Citations
Stochastic Communication: A New Paradigm for Fault-Tolerant Networks-on-Chip

Paul Bogdan;Tudor Dumitraş;Radu Marculescu

112
Citations
Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks.

Jayson Sia;Edmond Jonckheere;Paul Bogdan

105
Citations
Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design

P Bogdan;R Marculescu

99
Citations
Network science characteristics of brain-derived neuronal cultures deciphered from quantitative phase imaging data.

Chenzhong Yin;Xiongye Xiao;Valeriu Balaban;Mikhail E. Kandel

95
Citations
Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim

Guopeng Wei;Paul Bogdan;Radu Marculescu

92
Citations
Reliable Multi-Fractal Characterization of Weighted Complex Networks: Algorithms and Implications.

Yuankun Xue;Paul Bogdan

89
Citations
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text

Mingxi Cheng;Shahin Nazarian;Paul Bogdan

84
Citations
An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads

Paul Bogdan;Radu Marculescu;Siddharth Jain;Rafael Tornero Gavila

80
Citations
A COVID-19 Rumor Dataset

Mingxi Cheng;Songli Wang;Xiaofeng Yan;Tianqi Yang

69
Citations
Statistical physics approaches for network-on-chip traffic characterization

Paul Bogdan;Radu Marculescu

68
Citations
Mathematical Modeling and Control of Multifractal Workloads for Data-Center-on-a-Chip Optimization

Paul Bogdan

67
Citations
Multiwavelet-based Operator Learning for Differential Equations

Gaurav Gupta;Xiongye Xiao;Paul Bogdan

67
Citations
Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach

Yao Xiao;Shahin Nazarian;Paul Bogdan

66
Citations
Towards a Science of Cyber-Physical Systems Design

Paul Bogdan;Radu Marculescu

64
Citations
User Cooperation Network Coding Approach for NoC Performance Improvement

Yuankun Xue;Paul Bogdan

64
Citations
Workload characterization and its impact on multicore platform design

Paul Bogdan;Radu Marculescu

63
Citations
Low-latency wireless 3D NoCs via randomized shortcut chips

Hiroki Matsutani;Michihiro Koibuchi;Ikki Fujiwara;Takahiro Kagami

59
Citations

Frequent Co-Authors

Radu Marculescu The University of Texas at Austin

Chi-Ying Tsui Hong Kong University of Science and Technology

Massoud Pedram University of Southern California

Yanzhi Wang Northeastern University

Partha Pratim Pande Washington State University

Naehyuck Chang Korea Advanced Institute of Science and Technology

George J. Pappas University of Pennsylvania

Metin Sitti Max Planck Institute for Intelligent Systems

Umit Y. Ogras University of Wisconsin–Madison

Diana Marculescu The University of Texas at Austin

External Links

Personal website of Paul Bogdan

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