Samuel Harford

1.3k total citations · 1 hit paper
15 papers, 838 citations indexed

About

Samuel Harford is a scholar working on Artificial Intelligence, Signal Processing and Epidemiology. According to data from OpenAlex, Samuel Harford has authored 15 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Epidemiology. Recurrent topics in Samuel Harford's work include Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Music and Audio Processing (3 papers). Samuel Harford is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Music and Audio Processing (3 papers). Samuel Harford collaborates with scholars based in United States and Pakistan. Samuel Harford's co-authors include Houshang Darabi, Fazle Karim, Somshubra Majumdar, Terry L. Vanden Hoek, Ashkan Rezaei, Marina Del Rios, Dennis P. Watson, Maryam Pishgar, Shun Chen and Karl M. Kochendorfer and has published in prestigious journals such as Neural Networks, IEEE Transactions on Systems Man and Cybernetics Systems and Resuscitation.

In The Last Decade

Samuel Harford

14 papers receiving 817 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.

Multivariate LSTM-FCNs for time series classification

2019 690 citations Fazle Karim, Somshubra Majumdar et al. Neural Networks profile →

Peers

Countries citing papers authored by Samuel Harford

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Harford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Harford. 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 Samuel Harford. The network helps show where Samuel Harford may publish in the future.

Co-authorship network of co-authors of Samuel Harford

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Improvement of railroad maintenance program: predicting the degradation level of railroad timber ties through the application of the random forest model 2025 ·Discover Artificial Intelligence ·(unknown), Houshang Darabi, (unknown), Samuel Harford, (unknown)	0
2	A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow 2022 ·BMC Medical Informatics and Decision Making ·Samuel Harford, Marina Del Rios, (unknown), Joseph Weber, (unknown), (unknown), (unknown), Terry L. Vanden Hoek, Houshang Darabi	14
3	A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients 2022 ·BMC Medical Informatics and Decision Making ·Maryam Pishgar, Samuel Harford, (unknown), William Galanter, Jorge Mario Rodríguez-Fernández, Lelia H. Chaisson, (unknown), Andrew Trotter, Karl M. Kochendorfer, (unknown), Houshang Darabi	7
4	Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep Learning 2021 ·Academic Radiology ·Ayis Pyrros, Adam E. Flanders, Jorge Mario Rodríguez-Fernández, Andrew Chen, (unknown), (unknown), Eric Hart, Samuel Harford, Jeanne M. Horowitz, Paul Nikolaidis, (unknown), (unknown), (unknown), (unknown), (unknown), Houshang Darabi, Oluwasanmi Koyejo, William Galanter	7
5	Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models 2021 ·BMC Medical Informatics and Decision Making ·William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, (unknown), John Zulueta, Houshang Darabi	11
6	Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 2021 ·IEEE/CAA Journal of Automatica Sinica ·Samuel Harford, Fazle Karim, Houshang Darabi	27
7	Detecting Current Job Market Skills and Requirements Through Text Mining 2020 ·Houshang Darabi, Fazle Karim, Samuel Harford, (unknown), Peter Nelson	2
8	Multivariate LSTM-FCNs for time series classification breakdown → 2019 ·Neural Networks ·Fazle Karim, Somshubra Majumdar, Houshang Darabi, Samuel Harford	690
9	A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis 2019 ·Resuscitation ·Samuel Harford, Houshang Darabi, Marina Del Rios, Somshubra Majumdar, Fazle Karim, Terry L. Vanden Hoek, (unknown), Dennis P. Watson	27
10	A Framework for Accurate Time Series Classification Based on Partial Observation 2019 ·Fazle Karim, Houshang Darabi, Samuel Harford, Shun Chen, (unknown)	1
11	Beyond Grade Point Average and Standardized Testing: Incorporating a Socio-Economic Factor in Admissions to Support Minority Success 2018 ·Papers on Engineering Education Repository (American Society for Engineering Education) ·Houshang Darabi, (unknown), Samuel Harford, Peter Nelson, Fazle Karim	3
12	Life after University for Engineering Graduates 2018 ·Houshang Darabi, (unknown), Fazle Karim, Samuel Harford, (unknown)	4
13	Asymptotic Dynamic Time Warping calculation with utilizing value repetition 2018 ·Knowledge and Information Systems ·(unknown), Houshang Darabi, Samuel Harford, (unknown), Fazle Karim, (unknown), Shun Chen	14
14	Efficient Classification of Long Time Series by 3-D Dynamic Time Warping 2017 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Houshang Darabi, Ashkan Rezaei, Samuel Harford, (unknown), Fazle Karim	29
15	A Comparative Analysis of Underrepresented Engineering Applicants Admission Practices and their Academic Performance at the University of Illinois at Chicago 2016 ·Houshang Darabi, Fazle Karim, Samuel Harford, (unknown), Peter S. Nelson, (unknown)	2

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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