Reda Al-Bahrani

906 citations

19 papers · 608 indexed · 1 hit paper · h-index 8

Mechanical Engineering top 10%
Materials Chemistry
Mechanics of Materials top 10%
Automotive Engineering top 10%
Industrial and Manufacturing Engineering top 5%

Co-authors: Ankit Agrawal Alok Choudhary Wei‐keng Liao Zijiang Yang Yuksel C. Yabansu Surya R. Kalidindi Kornel F. Ehmann Arindam Paul
Topics: Machine Learning in Materials Science (4 papers)Intergenerational Family Dynamics and Caregiving (3 papers)Distributed and Parallel Computing Systems (3 papers)
Cited by: Metals and Alloys Automotive Engineering Industrial and Manufacturing Engineering
Journals: Computational Materials Science Journal of Parallel and Distributed Computing Parallel Computing
Partner nations: United States Canada Austria

In The Last Decade

Reda Al-Bahrani

19 papers receiving 594 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.

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

2018 269 citations Zijiang Yang, Yuksel C. Yabansu et al. Computational Materials Science profile →

Peers

Countries citing papers authored by Reda Al-Bahrani

Since Specialization

Citations

This map shows the geographic impact of Reda Al-Bahrani'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 Reda Al-Bahrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reda Al-Bahrani more than expected).

Fields of papers citing papers by Reda Al-Bahrani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reda Al-Bahrani. 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 Reda Al-Bahrani. The network helps show where Reda Al-Bahrani may publish in the future.

Co-authorship network of co-authors of Reda Al-Bahrani

This figure shows the co-authorship network connecting the top 25 collaborators of Reda Al-Bahrani. A scholar is included among the top collaborators of Reda Al-Bahrani 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 Reda Al-Bahrani. Reda Al-Bahrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network 2021 ·Reda Al-Bahrani,Dipendra Jha,(unknown),Sunwoo Lee,Zijiang Yang,Wei‐keng Liao,Ankit Agrawal,Alok Choudhary	2
2	Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency 2021 ·Journal of Parallel and Distributed Computing ·Sunwoo Lee,(unknown),Reda Al-Bahrani,Ankit Agrawal,Alok Choudhary,Wei‐keng Liao	3
3	Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features 2021 ·(unknown),(unknown),Reda Al-Bahrani,Gus Hahn-Powell	2
4	Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics 2019 ·Zijiang Yang,Reda Al-Bahrani,Andrew Reid,Stefanos Papanikolaou,Surya R. Kalidindi,Wei‐keng Liao,Alok Choudhary,Ankit Agrawal	11
5	Scalable Algorithms for MPI Intergroup Allgather and Allgatherv 2019 ·Parallel Computing ·(unknown),Jesper Larsson Träff,Reda Al-Bahrani,Ankit Agrawal,Alok Choudhary,Wei‐keng Liao	5
6	Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns 2019 ·Dipendra Jha,A. Gilad Kusne,Reda Al-Bahrani,Nam Nguyen Van,Wei‐keng Liao,Alok Choudhary,Ankit Agrawal	10
7	Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks 2018 ·Microscopy and Microanalysis ·Dipendra Jha,Saransh Singh,Reda Al-Bahrani,Wei‐keng Liao,Alok Choudhary,Marc De Graef,Ankit Agrawal	48
8	Full-Duplex Inter-Group All-to-All Broadcast Algorithms with Optimal Bandwidth 2018 ·(unknown),Jesper Larsson Träff,Reda Al-Bahrani,Ankit Agrawal,Alok Choudhary,Wei‐keng Liao	3
9	#Alzheimer's and Dementia 2018 ·Topics in Geriatric Rehabilitation ·Margaret Danilovich,Jonathan S. Tsay,Reda Al-Bahrani,Alok Choudhary,Ankit Agrawal	41
10	Integration of Burst Buffer in High-level Parallel I/O Library for Exa-scale Computing Era 2018 ·Kaiyuan Hou,Reda Al-Bahrani,(unknown),Ankit Agrawal,Robert Latham,Robert Ross,Alok Choudhary,Wei‐keng Liao	2
11	Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasetsbreakdown → 2018 ·Computational Materials Science ·Zijiang Yang,Yuksel C. Yabansu,Reda Al-Bahrani,Wei‐keng Liao,Alok Choudhary,Surya R. Kalidindi,Ankit Agrawal	269
12	Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks 2018 ·Manufacturing Letters ·Mojtaba Mozaffar,Arindam Paul,Reda Al-Bahrani,Sarah J. Wolff,Alok Choudhary,Ankit Agrawal,Kornel F. Ehmann,Jian Cao	148
13	Survivability prediction of colon cancer patients using neural networks 2017 ·Health Informatics Journal ·Reda Al-Bahrani,Ankit Agrawal,Alok Choudhary	19
14	Towards Identifying Informal Caregivers of Alzheimer’s and Dementia Patients in Social Media 2017 ·Reda Al-Bahrani,Margaret Danilovich,Wei‐keng Liao,Alok Choudhary,Ankit Agrawal	2
15	Analyzing Informal Caregiving Expression in Social Media 2017 ·Reda Al-Bahrani,Margaret Danilovich,Wei‐keng Liao,Alok Choudhary,Ankit Agrawal	3
16	PinterNet: A thematic label curation tool for large image datasets 2016 ·Ruoqian Liu,(unknown),(unknown),Reda Al-Bahrani,Dipendra Jha,Wei‐keng Liao,Ankit Agrawal,Alok Choudhary	1
17	Towards informal caregiver identification in social media 2016 ·Reda Al-Bahrani,Margaret Danilovich,Ankit Agrawal,Alok Choudhary	1
18	Colon cancer survival prediction using ensemble data mining on SEER data 2013 ·Reda Al-Bahrani,Ankit Agrawal,Alok Choudhary	33
19	Lung transplant outcome prediction using UNOS data 2013 ·Ankit Agrawal,Reda Al-Bahrani,Mark J. Russo,Jai Raman,Alok Choudhary	5

About Reda Al-Bahrani

Reda Al-Bahrani is a scholar working on Hardware and Architecture, Health Information Management and Metals and Alloys, having authored 19 papers that have together received 608 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Intergenerational Family Dynamics and Caregiving (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Metals and Alloys (26 citations), Automotive Engineering (107 citations) and Industrial and Manufacturing Engineering (71 citations). Reda Al-Bahrani has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Ankit Agrawal, Alok Choudhary, Wei‐keng Liao, Zijiang Yang, Yuksel C. Yabansu, Surya R. Kalidindi, Kornel F. Ehmann, Arindam Paul, Sarah J. Wolff and Jian Cao. Their work appears in journals such as Computational Materials Science, Journal of Parallel and Distributed Computing and Parallel Computing.

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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