Fazle Karim

3.0k total citations · 2 hit papers
18 papers, 2.0k citations indexed

About

Fazle Karim is a scholar working on Signal Processing, Artificial Intelligence and Education. According to data from OpenAlex, Fazle Karim has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 8 papers in Artificial Intelligence and 2 papers in Education. Recurrent topics in Fazle Karim's work include Time Series Analysis and Forecasting (7 papers), Music and Audio Processing (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Fazle Karim is often cited by papers focused on Time Series Analysis and Forecasting (7 papers), Music and Audio Processing (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Fazle Karim collaborates with scholars based in United States and Bangladesh. Fazle Karim's co-authors include Houshang Darabi, Somshubra Majumdar, Shun Chen, Samuel Harford, Maryam Pishgar, Ashkan Rezaei, Mark B. Shapiro, Dennis P. Watson, Emmett M. Laursen and Terry L. Vanden Hoek and has published in prestigious journals such as IEEE Access, Journal of Medical Internet Research and Neural Networks.

In The Last Decade

Fazle Karim

17 papers receiving 2.0k citations

Hit Papers

LSTM Fully Convolutional Networks for Time Series Classif... 2017 2026 2020 2023 2017 2019 250 500 750
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.

  1. LSTM Fully Convolutional Networks for Time Series Classification
    2017 983 citations Fazle Karim, Somshubra Majumdar et al. IEEE Access profile →
  2. Multivariate LSTM-FCNs for time series classification
    2019 690 citations Fazle Karim, Somshubra Majumdar et al. Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fazle Karim United States 10 862 727 249 203 197 18 2.0k
Somshubra Majumdar United States 12 952 1.1× 776 1.1× 333 1.3× 201 1.0× 197 1.0× 23 2.2k
Hassan Ismail Fawaz France 8 1.2k 1.4× 1.1k 1.6× 316 1.3× 204 1.0× 189 1.0× 10 2.5k
Pierre-Alain Müller France 14 1.3k 1.5× 1.1k 1.5× 318 1.3× 207 1.0× 193 1.0× 26 2.7k
Weizhong Yan United States 16 866 1.0× 696 1.0× 197 0.8× 172 0.8× 450 2.3× 62 2.0k
François Petitjean Australia 21 894 1.0× 824 1.1× 221 0.9× 135 0.7× 96 0.5× 57 2.4k
Zhengping Che China 17 1.5k 1.8× 500 0.7× 338 1.4× 140 0.7× 114 0.6× 39 2.4k
Shun Chen China 9 452 0.5× 325 0.4× 155 0.6× 203 1.0× 120 0.6× 14 1.2k
Lhassane Idoumghar France 18 1.4k 1.6× 1.1k 1.5× 427 1.7× 495 2.4× 325 1.6× 118 3.2k
Martin Längkvist Sweden 9 379 0.4× 295 0.4× 234 0.9× 203 1.0× 89 0.5× 26 1.5k
B.G. Horne United States 11 1.0k 1.2× 268 0.4× 226 0.9× 418 2.1× 458 2.3× 20 2.2k

Countries citing papers authored by Fazle Karim

Since Specialization
Citations

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

Fields of papers citing papers by Fazle Karim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fazle Karim

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

All Works

18 of 18 papers shown
1.
2.
Karim, Fazle, et al.. (2024). A Glycemic Status Classification Model Using a Radiofrequency Noninvasive Blood Glucose Monitor. Diabetes Technology & Therapeutics. 26(12). 979–983.
3.
Shapiro, Mark B., et al.. (2021). Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study. Journal of Medical Internet Research. 23(4). e24389–e24389. 14 indexed citations
4.
Harford, Samuel, Fazle Karim, & Houshang Darabi. (2021). Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders. IEEE/CAA Journal of Automatica Sinica. 8(9). 1523–1538. 27 indexed citations
5.
Darabi, Houshang, et al.. (2020). Detecting Current Job Market Skills and Requirements Through Text Mining. 2 indexed citations
6.
Karim, Fazle, Somshubra Majumdar, Houshang Darabi, & Samuel Harford. (2019). Multivariate LSTM-FCNs for time series classification. Neural Networks. 116. 237–245. 690 indexed citations breakdown →
7.
Harford, Samuel, Houshang Darabi, Marina Del Rios, et al.. (2019). A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis. Resuscitation. 138. 134–140. 27 indexed citations
8.
Karim, Fazle, et al.. (2019). A Framework for Accurate Time Series Classification Based on Partial Observation. 14. 634–639. 1 indexed citations
9.
Karim, Fazle, Somshubra Majumdar, & Houshang Darabi. (2019). Insights Into LSTM Fully Convolutional Networks for Time Series Classification. IEEE Access. 7. 67718–67725. 146 indexed citations
10.
Darabi, Houshang, et al.. (2018). Beyond Grade Point Average and Standardized Testing: Incorporating a Socio-Economic Factor in Admissions to Support Minority Success. Papers on Engineering Education Repository (American Society for Engineering Education). 3 indexed citations
11.
Pishgar, Maryam, Fazle Karim, Somshubra Majumdar, & Houshang Darabi. (2018). Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. 5267–5271. 26 indexed citations
12.
Darabi, Houshang, et al.. (2018). Life after University for Engineering Graduates. 4 indexed citations
13.
Darabi, Houshang, et al.. (2018). Asymptotic Dynamic Time Warping calculation with utilizing value repetition. Knowledge and Information Systems. 57(2). 359–388. 14 indexed citations
14.
Karim, Fazle, Somshubra Majumdar, Houshang Darabi, & Shun Chen. (2017). LSTM Fully Convolutional Networks for Time Series Classification. IEEE Access. 6. 1662–1669. 983 indexed citations breakdown →
15.
Darabi, Houshang, et al.. (2017). Efficient Classification of Long Time Series by 3-D Dynamic Time Warping. IEEE Transactions on Systems Man and Cybernetics Systems. 47(10). 2688–2703. 29 indexed citations
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18.
Laursen, Emmett M. & Fazle Karim. (1999). Bed Material Discharge Prediction for Nonuniform Bed Sediments. Journal of Hydraulic Engineering. 125(9). 985–985. 5 indexed citations

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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