Taraneh Eghlidos

33 papers receiving 272 citations

Peers

Taraneh Eghlidos
Comparison fields: 5 of 30
  • Artificial Intelligence 215
  • Computer Vision and Pattern Recognition 96
  • Computer Networks and Communications 93
  • Electrical and Electronic Engineering 46
  • Information Systems 42
Replace Avishek Adhikari with:
Avishek Adhikari India
Song Y. Yan United Kingdom
Toshiyasu Matsushima Japan
Viet Tung Hoang United States
Baodian Wei China
Thijs Laarhoven Netherlands
Helmut Knebl Germany
Richard Schroeppel United States
Joël Alwen United States
Krzysztof Pietrzak Austria
Taraneh Eghlidos relative to Avishek Adhikari India Avishek Adhikari's profile →
Citations per field
00.5×1.5×2.1×
Avishek Adhikari · 1×
Citations per year

Countries citing papers authored by Taraneh Eghlidos

Since Specialization
Citations

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

Fields of papers citing papers by Taraneh Eghlidos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taraneh Eghlidos

This figure shows the co-authorship network connecting the top 25 collaborators of Taraneh Eghlidos. A scholar is included among the top collaborators of Taraneh Eghlidos 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 Taraneh Eghlidos. Taraneh Eghlidos 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 7
2 8
3 0
4 2
5 6
6 10
7 7
8 5
9 1
10 12
11 12
12 5
13 16
14
DESIGNING AN OPTIMUM ACCEPTANCE SAMPLING PLAN USING BAYESIAN INFERENCES AND STOCHASTIC DYNAMIC PROGRAMMING APPROACH
7
15 32
16 7
17
A NEW, PUBLICLY VERIFIABLE, SECRET SHARING SCHEME
2
18
Impossible Differential Cryptanalysis of Safer
1
19 1
20
Evaluation of SOSEMANUK with regard to guess-and-determine attacks
6

About Taraneh Eghlidos

Taraneh Eghlidos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 34 papers that have together received 284 indexed citations. Recurring topics across this work include Coding theory and cryptography (16 papers), Cryptography and Data Security (14 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Computer Vision and Pattern Recognition (96 citations) and Computer Networks and Communications (93 citations). Taraneh Eghlidos has collaborated with scholars based in Iran, Canada and Switzerland. Frequent co-authors include Mohammad Reza Aref, Mohammad‐Reza Sadeghi, Saeed R. Khosravirad, Arash Mirabdolah Lavasani, Shahrokh Ghaemmaghami, Rahmat‐Allah Hooshmand, Daniel Panario, Javad Mohajeri, Shahram Khazaei and Maki Shigeri. Their work appears in journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Dependable and Secure Computing.

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