Masoud Daneshtalab

207 papers receiving 3.0k citations

Hit Papers

A review on deep learning methods for ECG arrhythmia clas...20202026202220242020100200300

Peers

Masoud Daneshtalab
Comparison fields: 5 of 104
  • Computer Networks and Communications 2.1k
  • Electrical and Electronic Engineering 1.4k
  • Hardware and Architecture 1.2k
  • Electronic, Optical and Magnetic Materials 401
  • Cardiology and Cardiovascular Medicine 299
Replace An-Yeu Wu with:
An-Yeu Wu Taiwan
Eiji Oki Japan
Mahmoud Al‐Qutayri United Arab Emirates
Yvon Savaria Canada
Wenyuan Xu China
Dimitrios Soudris Greece
Ulrich Rückert Germany
Jason Cong United States
Qiang Zhu China
Nan Guan China
Masoud Daneshtalab relative to An-Yeu Wu Taiwan An-Yeu Wu's profile →
Citations per field
00.5×3.1×
An-Yeu Wu · 1×
Citations per year

Countries citing papers authored by Masoud Daneshtalab

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Daneshtalab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Daneshtalab

This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Daneshtalab. A scholar is included among the top collaborators of Masoud Daneshtalab 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 Masoud Daneshtalab. Masoud Daneshtalab 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 1
3 6
4 1
5 24
6 1
7 10
8 2
9 1
10 8
11 1
12 14
13 12
14 10
15 36
16 4
17 7
18 48
19 13
20 12

About Masoud Daneshtalab

Masoud Daneshtalab is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 220 papers that have together received 3.1k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (125 papers), Parallel Computing and Optimization Techniques (72 papers) and Advanced Memory and Neural Computing (59 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (2.1k citations) and Electrical and Electronic Engineering (1.4k citations). Masoud Daneshtalab has collaborated with scholars based in Finland, Sweden and Iran. Frequent co-authors include Masoumeh Ebrahimi, Juha Plosila, Pasi Liljeberg, Hannu Tenhunen, Mohammad Loni, Arash Gharehbaghi, Zahra Ebrahimi, Mikael Sjödin, Maurizio Palesi and Zainalabedin Navabi. Their work appears in journals such as Scientific Reports, Materials Science and Engineering A and Expert Systems with Applications.

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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