Soroush Bateni

540 citations
20 papers · 374 · h-index 9

Impact in

Papers in

Soroush Bateni

20 papers receiving 364 citations

Peers

Soroush Bateni
Comparison fields: 5 of 44
  • Hardware and Architecture 154
  • Computer Vision and Pattern Recognition 119
  • Computer Networks and Communications 126
  • Software 17
  • Computational Theory and Mathematics 40
Replace Soumyajit Dey with:
Soumyajit Dey India
Toumi Bouchentouf Morocco
Unai Bidarte Spain
Ali Khayatzadeh Mahani Iran
Husheng Zhou United States
Sung-Soo Lim South Korea
Daniel Casini Italy
Francesco Gregoretti Italy
Luca Cassano Italy
Jens Hagemeyer Germany
Soroush Bateni relative to Soumyajit Dey India Soumyajit Dey's profile →
Citations per field
00.5×2×3×3.7×
Soumyajit Dey · 1×
Citations per year

Countries citing papers authored by Soroush Bateni

Since Specialization
Citations

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

Fields of papers citing papers by Soroush Bateni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202176
2 201869
3 201851
4 202040
5 201833
6 202317
7 202014
8 202312
9 201911
10 20189
11
{NeuOS}: A {Latency-Predictable} {Multi-Dimensional} Optimization Framework for {DNN-driven} Autonomous Systems
20209
12 20228
13 20186
14 20235
15 20214
16 20233
17 20233
18 20232
19 20181
20 20231

About Soroush Bateni

Soroush Bateni is a scholar working on Hardware and Architecture, Computer Networks and Communications, Software, Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (7 papers), Real-Time Systems Scheduling (6 papers), Distributed systems and fault tolerance (6 papers), Advanced Neural Network Applications (4 papers), Software Engineering Research (3 papers), Distributed and Parallel Computing Systems (3 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (154 citations), Computer Vision and Pattern Recognition (119 citations), Computer Networks and Communications (126 citations), Software (17 citations) and Computational Theory and Mathematics (40 citations). Soroush Bateni has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Cong Liu, Husheng Zhou, Marten Lohstroh, Edward A. Lee, Christian Menard, Cong Liu, Zhendong Wang, Yang Hu, Cong Liu and Cong Liu. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Architecture and Code Optimization, Lecture notes in computer science and HAL (Le Centre pour la Communication Scientifique Directe).

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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