Amit Kumar Singh

2.7k total citations · 1 hit paper
123 papers, 1.8k citations indexed

About

Amit Kumar Singh is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Amit Kumar Singh has authored 123 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Networks and Communications, 82 papers in Hardware and Architecture and 58 papers in Electrical and Electronic Engineering. Recurrent topics in Amit Kumar Singh's work include Parallel Computing and Optimization Techniques (66 papers), Interconnection Networks and Systems (59 papers) and Embedded Systems Design Techniques (37 papers). Amit Kumar Singh is often cited by papers focused on Parallel Computing and Optimization Techniques (66 papers), Interconnection Networks and Systems (59 papers) and Embedded Systems Design Techniques (37 papers). Amit Kumar Singh collaborates with scholars based in United Kingdom, China and Singapore. Amit Kumar Singh's co-authors include Akash Kumar, Thambipillai Srikanthan, Muhammad Shafique, Jörg Henkel, Somdip Dey, Klaus D. McDonald-Maier, Xiaohang Wang, Geoff V. Merrett, Bashir M. Al‐Hashimi and Jigang Wu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Sustainability.

In The Last Decade

Amit Kumar Singh

117 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping on multi/many-core systems

2013 297 citations Amit Kumar Singh, Akash Kumar et al. National University of Singapore profile →

Peers

Amit Kumar Singh

HA

CNC

EEE

IS

AI

Hiroto Yasuura Japan

Dionisios Pnevmatikatos Greece

Sanjeev Kumar United States

Ujjwal Guin United States

Cheng‐Kuan Lin Taiwan

Avi Mendelson Israel

Myungchul Kim South Korea

Pedro López Spain

E. Douglas Jensen United States

Hiroto Yasuura Japan

Amit Kumar Singh

1.2k ×1.1

HA

703 ×0.6

CNC

1.1k ×1.8

EEE

175 ×0.7

IS

204 ×1.4

AI

Citations per year, relative to Amit Kumar Singh Amit Kumar Singh (= 1×) peers Hiroto Yasuura

Countries citing papers authored by Amit Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Amit Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Singh. 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 Amit Kumar Singh. The network helps show where Amit Kumar Singh may publish in the future.

Co-authorship network of co-authors of Amit Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Singh. A scholar is included among the top collaborators of Amit Kumar Singh 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 Amit Kumar Singh. Amit Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Xin, Yu, Xiaohang Wang, Yingtao Jiang, et al.. (2025). LUFT-CAN: A lightweight unsupervised learning based intrusion detection system with frequency-time analysis for vehicular CAN bus. Journal of Systems Architecture. 168. 103567–103567.

2.

Singh, Maheshwari Prasad, et al.. (2025). A latency sensitive and agile IIoT architecture with optimized edge node selection and task scheduling. Digital Communications and Networks.

3.

Singh, Amit Kumar, et al.. (2024). Design and Implementation of Smart Door Lock System Using IoT. 1–4.

4.

Małecki, Krzysztof, et al.. (2023). Mobility-aware fog computing in dynamic networks with mobile nodes: A survey. Journal of Network and Computer Applications. 219. 103724–103724. 20 indexed citations

5.

Ranjan, Ranjeet Kumar & Amit Kumar Singh. (2023). A comparative study of deep transfer learning models for malware classification using image datasets. International Journal of Information and Computer Security. 21(3/4). 293–319. 1 indexed citations

6.

Singh, Amit Kumar, et al.. (2023). Multi-level collaborative framework decryption-based computing systems. AIP conference proceedings. 2782. 20131–20131. 8 indexed citations

7.

Wang, Xiaohang, et al.. (2022). Detection of Thermal Covert Channel Attacks Based on Classification of Components of the Thermal Signal Features. IEEE Transactions on Computers. 72(4). 971–983. 7 indexed citations

8.

Singh, Amit Kumar, et al.. (2022). Selective Noise Based Power-Efficient and Effective Countermeasure against Thermal Covert Channel Attacks in Multi-Core Systems. Journal of Low Power Electronics and Applications. 12(2). 25–25. 4 indexed citations

9.

Singh, Amit Kumar, et al.. (2020). A Hybrid Approach for Digital Representation of Sensors in Real-Time Applications. Procedia Manufacturing. 52. 14–19. 1 indexed citations

10.

Dey, Somdip, Suman Saha, Amit Kumar Singh, & Klaus D. McDonald-Maier. (2020). FruitVegCNN: Power- and Memory-Efficient Classification of Fruits & Vegetables Using CNN in Mobile MPSoC. 1–7. 5 indexed citations

11.

Singh, Amit Kumar, et al.. (2018). Krishi Gyan Mobile Apps. 1 indexed citations

12.

Wang, Xiaohang, et al.. (2018). Exploiting dark cores for performance optimization via patterning for many-core chips in the dark silicon era. 5 indexed citations

13.

Singh, Amit Kumar, et al.. (2018). Better Healthcare using Machine Learning. International Journal of Advanced Research in Computer Science. 9. 10–13. 4 indexed citations

14.

Haque, Albert, Michelle Guo, Alexandre Alahi, et al.. (2017). Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 75–87. 7 indexed citations

15.

Dziurzański, Piotr, Amit Kumar Singh, & Leandro Soares Indrusiak. (2017). Multi-criteria resource allocation in modal hard real-time systems. EURASIP Journal on Embedded Systems. 2017(1). 2 indexed citations

16.

Singh, Amit Kumar, et al.. (2017). A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core Systems. ACM Computing Surveys. 50(2). 1–40. 73 indexed citations

17.

Singh, Amit Kumar, et al.. (2017). Learning-Based Run-Time Power and Energy Management of Multi/Many-Core Systems: Current and Future Trends. Journal of Low Power Electronics. 13(3). 310–325. 25 indexed citations

18.

Singh, Amit Kumar, et al.. (2015). Exploiting loop-array dependencies to accelerate the design space exploration with high level synthesis. Design, Automation, and Test in Europe. 157–162. 19 indexed citations

19.

Singh, Amit Kumar, Anup Das, & Akash Kumar. (2013). RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation. National University of Singapore. 29. 836–843. 6 indexed citations

20.

Singh, Amit Kumar. (2006). Mac OS X Internals. 17 indexed citations

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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