Mehrsan Javan

24 papers receiving 1.1k citations

Hit Papers

Deep Convolutional Neural Networks and Learning ECG Featu...20172026202020232017100200300

Peers

Mehrsan Javan
Comparison fields: 5 of 90
  • Artificial Intelligence 375
  • Computer Vision and Pattern Recognition 363
  • Control and Systems Engineering 264
  • Cardiology and Cardiovascular Medicine 251
  • Electrical and Electronic Engineering 180
Replace Birendra Biswal with:
Birendra Biswal India
Wen-June Wang Taiwan
Bin Huang China
Norhashimah Mohd Saad Malaysia
Shih‐Lun Chen Taiwan
Zheng Guan China
Barathram Ramkumar India
Yanzhi Ren United States
Yuan Yao China
Mehrsan Javan relative to Birendra Biswal India Birendra Biswal's profile →
Citations per field
00.5×5.1×
Birendra Biswal · 1×
Citations per year

Countries citing papers authored by Mehrsan Javan

Since Specialization
Citations

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

Fields of papers citing papers by Mehrsan Javan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehrsan Javan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 30
4
Flow-Guided Attention Networks for Video-Based Person Re-Identification
1
5
Learning Agent Representations for Ice Hockey
0
6 14
7 21
8 22
9
Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patientsbreakdown →
326
10 53
11 127
12 29
13 106
14 218
15 6
16 3
17 5
18 24
19 7
20 10

About Mehrsan Javan

Mehrsan Javan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Artificial Intelligence (375 citations) and Control and Systems Engineering (264 citations). Mehrsan Javan has collaborated with scholars based in Canada, Iran and China. Frequent co-authors include Martin D. Levine, K. Khorasani, Bahareh Pourbabaee, Bashir Mahdi Ebrahimi, Jawad Faiz, Seyed Kamaledin Setarehdan, Greg Mori, Mengyao Zhai, Lei Chen and Zhiwei Deng. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Pattern Recognition Letters.

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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