Soroush Bateni

509 citations
19 papers · 336 · h-index 10

Impact in

Papers in

Soroush Bateni

19 papers receiving 326 citations

Peers

Soroush Bateni
Comparison fields: 5 of 43
  • Hardware and Architecture 142
  • Computer Vision and Pattern Recognition 115
  • Computer Networks and Communications 121
  • Software 14
  • Artificial Intelligence 74
Replace Tingting Hu with:
Tingting Hu Italy
Soumyajit Dey India
Ali Mahani Iran
Husheng Zhou United States
Mohsen Ansari Iran
Sharad Sinha India
Raj Rajkumar United States
Daniel Casini Italy
Maxime Pelcat France
Simon Fürst Germany
Soroush Bateni relative to Tingting Hu Italy Tingting Hu's profile →
Citations per field
00.5×3.6×
Tingting Hu · 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

19 of 19 papers shown
#Work
1 202164
2 201863
3 201849
4 202036
5 201833
6 202315
7 202014
8 20199
9
{NeuOS}: A {Latency-Predictable} {Multi-Dimensional} Optimization Framework for {DNN-driven} Autonomous Systems
20209
10 20189
11 20238
12 20227
13 20186
14 20234
15 20233
16 20233
17 20232
18 20231
19 20181

About Soroush Bateni

Soroush Bateni is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 19 papers that have together received 336 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (6 papers), Real-Time Systems Scheduling (6 papers), Distributed systems and fault tolerance (6 papers), Advanced Neural Network Applications (4 papers), Advanced Software Engineering Methodologies (3 papers), Software Engineering Research (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Hardware and Architecture (142 citations), Computer Vision and Pattern Recognition (115 citations), Computer Networks and Communications (121 citations), Software (14 citations) and Artificial Intelligence (74 citations). Soroush Bateni has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Cong Liu, Husheng Zhou, Edward A. Lee, Marten Lohstroh, Christian Menard, Cong Liu, Cong Liu, Yang Hu, Zhendong Wang and Cong Liu. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Transactions on Parallel and Distributed Systems, Lecture notes in computer science, ACM Transactions on Architecture and Code Optimization and DOAJ (DOAJ: Directory of Open Access Journals).

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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