Name
Affiliation
Papers
PREETAM GHOSH
Univ Texas Arlington, Ctr Res Wireless Mobil & Networking, Arlington, TX 76019 USA
94
Collaborators
Citations 
PageRank 
133
349
43.69
Referers 
Referees 
References 
569
1118
617
Search Limit
1001000
Title
Citations
PageRank
Year
Examining post-pandemic behaviors influencing human mobility trends00.342022
Hyperspectral Unmixing Using Transformer Network00.342022
Towards Dynamic Lockdown Strategies Controlling Pandemic Spread Under Healthcare Resource Budget00.342021
A Network Thermodynamic Analysis Of Amyloid Aggregation Along Competing Pathways00.342021
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread00.342021
Adaptive Motif-based Topology Control in Mobile Software Defined Wireless Sensor Networks00.342021
Biomcs 2.0: A Distributed, Energy-Aware Fog-Based Framework For Data Forwarding In Mobile Crowdsensing00.342021
Scalable and distributed strategies for socially distanced human mobility00.342021
A Bridging Centrality Plugin for GEPHI and a Case Study for Mycobacterium Tuberculosis H37Rv00.342021
Machine-Learning Models For Multicenter Prostate Cancer Treatment Plans00.342021
Deep neural network models to automate incident triage in the radiation oncology incident learning system00.342021
Multi-Omits-Based Identification Of Sars-Cov-2 Infection Biology And Candidate Drugs Against Covid-1920.362020
Global fitting and parameter identifiability for amyloid-β aggregation with competing pathways00.342020
Correction to: Similar Feed-forward Loop Crosstalk Patterns may Impact Robust Information Transport Across <Emphasis Type="Italic">E. coli</Emphasis> and <Emphasis Type="Italic">S. Cerevisiae</Emphasis> Transcriptional Networks00.342020
Similar Feed-forward Loop Crosstalk Patterns may Impact Robust Information Transport Across <Emphasis Type="Italic">E. coli</Emphasis> and <Emphasis Type="Italic">S. Cerevisiae</Emphasis> Transcriptional Networks00.342020
A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels00.342020
Biomcs: A Bio-Inspired Collaborative Data Transfer Framework Over Fog Computing Platforms In Mobile Crowdsensing00.342020
An integrated parametric model for MT self-assembly formation analysis.00.342019
Self-Assembly from a Single-Molecule Perspective.00.342019
Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer - A Multi-center Study with Veterans Health Administration Data.00.342019
A Clustering Approach to Identify Candidates to Housekeeping Genes Based on RNA-seq Data.00.342019
A smart healthcare portal for clinical decision making and precision medicine.00.342018
Application of Social Network Analytics to Assessing Different Care Coordination Metrics.00.342018
Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once40.382017
Role Of Motifs In Topological Robustness Of Gene Regulatory Networks10.352017
The Structural Role of Feed-Forward Loop Motif in Transcriptional Regulatory Networks.00.342016
SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology.00.342016
Efficient Communications in Wireless Sensor Networks Based on Biological Robustness40.432016
Multiple Infection Sources Identification with Provable Guarantees60.412016
In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks.10.362016
Capacity estimates of additive inverse Gaussian molecular channels with relay characteristics.00.342015
Determining influential miRNA targets in diseases using influence diffusion model00.342015
An Algorithm for stable Microtubule Curvature Conformation.00.342015
Optimal topology of gene-regulatory networks: role of the average shortest path.00.342015
Exploiting Gene Regulatory Networks for Robust Wireless Sensor Networking30.392015
Abundance of connected motifs in transcriptional networks, a case study using random forests regression.00.342015
Contribution of canonical feed-forward loop motifs on the fault-tolerance and information transport efficiency of transcriptional regulatory networks00.342015
Leveraging the robustness of genetic networks: a case study on bio-inspired wireless sensor network topologies.80.752014
Feature ranking in transcriptional networks: Packet receipt as a dynamical metric.30.472014
Modeling Self-organization of Microtubules from Tubulins.00.342014
Networks of interactions between feed-forward loop transcriptional motifs in gene-regulatory networks00.342014
Dynamical impacts from structural redundancy of transcriptional motifs in gene-regulatory networks.30.472014
Correlating in silico feed-forward loop knockout experiments with the topological features of transcriptional regulatory networks10.362014
Deployment of robust wireless sensor networks using gene regulatory networks: An isomorphism-based approach.30.422014
Care coordination metrics of patients sharing among physicians: a social network analytic approach.00.342014
Performance analysis of co-channel deployment of femtocells with power control in 4G networks20.382014
Determining miRNA-disease associations using bipartite graph modelling00.342013
Robust Deployment of Wireless Sensor Networks Using Gene Regulatory Networks.80.582013
sCoIn: A scoring algorithm based on complex interactions for reverse engineering regulatory networks00.342012
Genome scale inference of transcriptional regulatory networks using mutual information on complex interactions00.342012
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