Mohammad Loni

786 total citations · 1 hit paper
17 papers, 532 citations indexed

About

Mohammad Loni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Loni has authored 17 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Loni's work include Advanced Neural Network Applications (7 papers), Machine Learning and Data Classification (3 papers) and ECG Monitoring and Analysis (2 papers). Mohammad Loni is often cited by papers focused on Advanced Neural Network Applications (7 papers), Machine Learning and Data Classification (3 papers) and ECG Monitoring and Analysis (2 papers). Mohammad Loni collaborates with scholars based in Sweden, Iran and Finland. Mohammad Loni's co-authors include Masoud Daneshtalab, Arash Gharehbaghi, Zahra Ebrahimi, Mikael Sjödin, Hadi Esmaeilzadeh, Mostafa E. Salehi, Elena Troubitsynå, Mauro Conti, Abdolah Loni and Hossein Fotouhi and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Systems Man and Cybernetics Systems and npj Digital Medicine.

In The Last Decade

Mohammad Loni

17 papers receiving 516 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.

A review on deep learning methods for ECG arrhythmia classification

2020 321 citations Zahra Ebrahimi, Mohammad Loni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Loni Sweden	9	294	177	137	101	94	17	532
Rekh Ram Janghel India	16	358 1.2×	301 1.7×	298 2.2×	110 1.1×	143 1.5×	62	977
Saroj Kumar Pandey India	14	361 1.2×	294 1.7×	147 1.1×	60 0.6×	136 1.4×	73	737
Indu Saini India	13	303 1.0×	200 1.1×	94 0.7×	154 1.5×	196 2.1×	70	687
Che Wun Chiou Taiwan	15	243 0.8×	200 1.1×	357 2.6×	53 0.5×	95 1.0×	56	700
Kandala N. V. P. S. Rajesh India	12	265 0.9×	206 1.2×	85 0.6×	97 1.0×	118 1.3×	26	578
Yalan Ye China	12	169 0.6×	93 0.5×	171 1.2×	70 0.7×	195 2.1×	73	570
Mehmet Korürek Türkiye	11	317 1.1×	252 1.4×	100 0.7×	61 0.6×	113 1.2×	31	520
Chi-Chung Cheung Hong Kong	8	198 0.7×	167 0.9×	58 0.4×	27 0.3×	73 0.8×	29	441
Barjinder Singh Saini India	15	213 0.7×	71 0.4×	117 0.9×	202 2.0×	143 1.5×	81	573
Vijay Kumar Bohat India	11	92 0.3×	88 0.5×	98 0.7×	112 1.1×	50 0.5×	18	422

Countries citing papers authored by Mohammad Loni

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Loni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Loni

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

All Works

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17 of 17 papers shown

Loni, Mohammad, et al.. (2025). A review on generative AI models for synthetic medical text, time series, and longitudinal data. npj Digital Medicine. 8(1). 281–281. 4 indexed citations

Asadi, Mehdi, et al.. (2023). Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search. Scientific Reports. 13(1). 11378–11378. 8 indexed citations

Loni, Mohammad, et al.. (2023). DASS: Differentiable Architecture Search for Sparse Neural Networks. ACM Transactions on Embedded Computing Systems. 22(5s). 1–21. 10 indexed citations

Loni, Mohammad, et al.. (2022). TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1115–1118. 8 indexed citations

Loni, Mohammad, et al.. (2021). Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System. 123–135. 3 indexed citations

Loni, Mohammad, et al.. (2021). FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. IEEE Transactions on Systems Man and Cybernetics Systems. 52(8). 5222–5234. 22 indexed citations

Ebrahimi, Zahra, Mohammad Loni, Masoud Daneshtalab, & Arash Gharehbaghi. (2020). A review on deep learning methods for ECG arrhythmia classification. 7. 100033–100033. 321 indexed citations breakdown →

Loni, Mohammad, et al.. (2020). Improving Motion Safety and Efficiency of Intelligent Autonomous Swarm of Drones. Drones. 4(3). 48–48. 15 indexed citations

Loni, Mohammad, Daniel Maier, Masoud Daneshtalab, et al.. (2020). DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. Åbo Akademi University Research Portal. 4 indexed citations

10.

Loni, Mohammad, et al.. (2020). DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. Microprocessors and Microsystems. 73. 102989–102989. 81 indexed citations

11.

Loni, Mohammad, et al.. (2019). TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. 305–312. 15 indexed citations

12.

Loni, Mohammad, Tiberiu Seceleanu, Cristina Seceleanu, et al.. (2019). Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments. Åbo Akademi University Research Portal. 1–9. 6 indexed citations

13.

Loni, Mohammad, et al.. (2019). SoFA: A Spark-oriented Fog Architecture. Research Padua Archive (University of Padua). 36. 2792–2799. 12 indexed citations

14.

Daneshtalab, Masoud, et al.. (2019). Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan.. 2457. 29–38. 3 indexed citations

15.

Modarressi, Mehdi, et al.. (2018). A Customized Processing-in-Memory Architecture for Biological Sequence Alignment. 52. 1–8. 2 indexed citations

16.

Loni, Mohammad, et al.. (2018). Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems. Åbo Akademi University Research Portal. 30. 244–251. 9 indexed citations

17.

Loni, Mohammad, Masoud Daneshtalab, & Mikael Sjödin. (2018). ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems. 13. 397–404. 9 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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