Morteza Daneshmand

22 papers receiving 215 citations

Peers

Morteza Daneshmand
Comparison fields: 5 of 63
  • Industrial and Manufacturing Engineering 54
  • Computer Vision and Pattern Recognition 78
  • Neurology 20
  • Media Technology 19
  • Control and Systems Engineering 46
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Countries citing papers authored by Morteza Daneshmand

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Daneshmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Morteza Daneshmand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Morteza Daneshmand Line = papers co-authored together Morteza Daneshmand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202248
2 201734
3 202125
4 201723
5 201512
6 202311
7 201510
8 20169
9 20137
10 20155
11 20165
12 20164
13 20183
14
Optimization of the Kinematic Sensitivity and the Greatest Continuous Circle in the Constant -orientation Workspace of Planar Parallel Mechanisms
20153
15 20163
16 20182
17 20172
18 20152
19 20232
20 20152

About Morteza Daneshmand

Morteza Daneshmand is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Aerospace Engineering and Mechanical Engineering, having authored 22 papers that have together received 215 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (6 papers), Manufacturing Process and Optimization (5 papers), Robotics and Sensor-Based Localization (4 papers), Optical measurement and interference techniques (3 papers), Piezoelectric Actuators and Control (3 papers), Advanced Vision and Imaging (3 papers), Image and Signal Denoising Methods (3 papers) and Advanced Measurement and Metrology Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (54 citations), Computer Vision and Pattern Recognition (78 citations), Neurology (20 citations), Media Technology (19 citations) and Control and Systems Engineering (46 citations). Morteza Daneshmand has collaborated with scholars based in Estonia, Türkiye and Iran. Frequent co-authors include Gholamreza Anbarjafari, Fatemeh Noroozi, Paolo Fiorini, Ciprian Corneanu, Fereshteh Mafakheri, Norihide Maikusa, Hasan Demirel, Mehdi Tale Masouleh, Iman Beheshti and Hiroshi Matsuda. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Journal of Alzheimer s Disease, Computers & Graphics, International Journal on Document Analysis and Recognition (IJDAR) and Multimedia Tools and 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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