Farzad Tashtarian

754 citations
57 papers · 526 indexed · h-index 14

Farzad Tashtarian

51 papers receiving 496 citations

Peers

Farzad Tashtarian
Comparison fields: 5 of 42
  • Computer Networks and Communications 385
  • Signal Processing 117
  • Computer Vision and Pattern Recognition 197
  • Electrical and Electronic Engineering 178
  • Media Technology 18
Replace Kenji Kanai with:
Kenji Kanai Japan
Chang Ge United Kingdom
Behzad Akbari Iran
Stefan Forsström Sweden
Ahmed Mostefaoui France
Mohammad Shurman Jordan
P. Deepa Shenoy India
Guangxue Zhang China
Tong Tang China
Farzad Tashtarian relative to Kenji Kanai Japan Kenji Kanai's profile →
Citations per field
00.5×2.7×
Kenji Kanai · 1×
Citations per year

Countries citing papers authored by Farzad Tashtarian

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Tashtarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Farzad Tashtarian, 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 Farzad Tashtarian Line = papers co-authored together Farzad Tashtarian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 20240
5 20240
6 20231
7 20233
8 20231
9 20226
10 20215
11 20218
12 20210
13 202015
14 20208
15 201924
16 20183
17 20178
18 20158
19 20140
20 200726

About Farzad Tashtarian

Farzad Tashtarian is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 526 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (28 papers), Caching and Content Delivery (17 papers), Video Coding and Compression Technologies (17 papers), Mobile Ad Hoc Networks (15 papers), Energy Efficient Wireless Sensor Networks (15 papers), Energy Harvesting in Wireless Networks (8 papers), Network Traffic and Congestion Control (8 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (385 citations), Signal Processing (117 citations) and Computer Vision and Pattern Recognition (197 citations). Farzad Tashtarian has collaborated with scholars based in Iran, Austria and Singapore. Frequent co-authors include Mohammad Hossein Yaghmaee, Christian Timmerer, Hermann Hellwagner, Sohrab Effati, Khosrow Sohraby, Seyed Amin Hosseini Seno, Abolfazl Toroghi Haghighat, Hadi Amirpour, Abdelhak Bentaleb and Roger Zimmermann. Their work appears in journals such as IEEE Transactions on Network and Service Management, Computer Networks, Computer Communications, IEEE Access and ACM Transactions on Multimedia Computing Communications 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026