Hossein Abbasimehr

1.9k citations

34 papers · 1.2k indexed · 2 hit papers · h-index 16

Artificial Intelligence top 5%
Management Science and Operations Research top 2%
Electrical and Electronic Engineering
Signal Processing top 5%
Marketing top 5%

Co-authors: Reza Paki Mostafa Shabani Mohsen Yousefi Aram Bahrini Mostafa Setak Robert J. Riggs Maryam Esmaeili Mohammad Jafar Tarokh
Topics: Time Series Analysis and Forecasting (12 papers)Customer churn and segmentation (11 papers)Stock Market Forecasting Methods (8 papers)
Cited by: Health Informatics Management Science and Operations Research Modeling and Simulation
Journals: SHILAP Revista de lepidopterologíaExpert Systems with Applications International Journal of Production Research
Partner nations: Iran Italy United States

In The Last Decade

Hossein Abbasimehr

32 papers receiving 1.2k 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.

An optimized model using LSTM network for demand forecasting

2020 355 citations Hossein Abbasimehr, Mostafa Shabani et al. profile →
Improving time series forecasting using LSTM and attention models

2021 164 citations Hossein Abbasimehr, Reza Paki Journal of Ambient Intelligence and Humanized Computing profile →

Peers

Countries citing papers authored by Hossein Abbasimehr

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Abbasimehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Abbasimehr

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep time-series clustering via evolutionary learning and graph-based manifold learning 2025 ·Information Processing & Management ·Hossein Abbasimehr,(unknown)	0
2	Big time series data forecasting based on deep autoencoding and clustering 2025 ·Cluster Computing ·Hossein Abbasimehr,(unknown)	0
3	Localized Global Time Series Forecasting Models Using Evolutionary Neighbor‐Aided Deep Clustering Method 2025 ·Journal of Forecasting ·Hossein Abbasimehr,(unknown)	1
4	A novel hybrid model to forecast seasonal and chaotic time series 2023 ·Expert Systems with Applications ·Hossein Abbasimehr,(unknown),Aram Bahrini	17
5	ChatGPT: Applications, Opportunities, and Threats 2023 ·Aram Bahrini,(unknown),Hossein Abbasimehr,Robert J. Riggs,Maryam Esmaeili,(unknown),(unknown)	138
6	A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection 2023 ·Expert Systems with Applications ·(unknown),Hossein Abbasimehr	100
7	A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques 2023 ·Expert Systems with Applications ·Hossein Abbasimehr,(unknown),Reza Paki	5
8	Improving the performance of deep learning models using statistical features: The case study of COVID‐19 forecasting 2021 ·Mathematical Methods in the Applied Sciences ·Hossein Abbasimehr,Reza Paki,Aram Bahrini	17
9	A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting 2021 ·Neural Computing and Applications ·Hossein Abbasimehr,Reza Paki,Aram Bahrini	45
10	An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation 2021 ·Expert Systems with Applications ·Hossein Abbasimehr,Aram Bahrini	24
11	Improving Churn Prediction using Imperialist Competitive Algorithm for Feature Selection in Telecom 2021 ·International Journal of Business Information Systems ·Aram Bahrini,Hossein Abbasimehr	1
12	Improving demand forecasting with LSTM by taking into account the seasonality of data 2020 ·SHILAP Revista de lepidopterología ·Hossein Abbasimehr,(unknown)	6
13	Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization 2020 ·Chaos Solitons & Fractals ·Hossein Abbasimehr,Reza Paki	124
14	A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques 2020 ·Journal of Ambient Intelligence and Humanized Computing ·Hossein Abbasimehr,Mostafa Shabani	26
15	A new methodology for customer behavior analysis using time series clustering 2019 ·Kybernetes ·Hossein Abbasimehr,Mostafa Shabani	17
16	A Novel Interval Type-2 Fuzzy AHP-TOPSIS Approach For Ranking Reviewers in online communities 2016 ·Scientia Iranica ·Hossein Abbasimehr,(unknown)	13
17	Combining data mining and group decision making in retailer segmentation based on LRFMP variables 2014 ·SHILAP Revista de lepidopterología ·(unknown),(unknown),Hossein Abbasimehr	16
18	A Comparative Assessment of the Performance of Ensemble Learning in Customer Churn Prediction 2014 ·The International Arab Journal of Information Technology ·Hossein Abbasimehr,Mostafa Setak,Mohammad Jafar Tarokh	17
19	A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models 2013 ·SHILAP Revista de lepidopterología ·Hossein Abbasimehr,Somayeh Alizadeh	2
20	Integrating AHP and data mining for effective retailer segmentation based on retailer lifetime value 2012 ·SHILAP Revista de lepidopterología ·(unknown),Hossein Abbasimehr,Mohammad Jafar Tarokh	12

About Hossein Abbasimehr

Hossein Abbasimehr is a scholar working on Signal Processing, Marketing and Management Science and Operations Research, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (12 papers), Customer churn and segmentation (11 papers) and Stock Market Forecasting Methods (8 papers). The work is most often cited by research in Health Informatics (65 citations), Management Science and Operations Research (264 citations) and Modeling and Simulation (81 citations). Hossein Abbasimehr has collaborated with scholars based in Iran, Italy and United States. Frequent co-authors include Reza Paki, Mostafa Shabani, Mohsen Yousefi, Aram Bahrini, Mostafa Setak, Robert J. Riggs, Maryam Esmaeili, Mohammad Jafar Tarokh, Javad Soroor and Shahriar Mohammadi. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Production Research.

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