Akash Kumar

6.2k total citations · 1 hit paper
333 papers, 4.1k citations indexed

About

Akash Kumar is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Akash Kumar has authored 333 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Hardware and Architecture, 161 papers in Electrical and Electronic Engineering and 117 papers in Computer Networks and Communications. Recurrent topics in Akash Kumar's work include Parallel Computing and Optimization Techniques (113 papers), Embedded Systems Design Techniques (91 papers) and Interconnection Networks and Systems (80 papers). Akash Kumar is often cited by papers focused on Parallel Computing and Optimization Techniques (113 papers), Embedded Systems Design Techniques (91 papers) and Interconnection Networks and Systems (80 papers). Akash Kumar collaborates with scholars based in Germany, Singapore and Netherlands. Akash Kumar's co-authors include Amit Kumar Singh, Muhammad Shafique, Anup Das, Henk Corporaal, Salim Ullah, Bharadwaj Veeravalli, Jörg Henkel, Shubham Rai, Semeen Rehman and Yajun Ha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Applied Physics.

In The Last Decade

Akash Kumar

308 papers receiving 3.9k citations

Hit Papers

Mapping on multi/many-core systems 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akash Kumar Germany 32 2.3k 2.2k 1.7k 432 288 333 4.1k
André DeHon United States 34 2.2k 0.9× 2.6k 1.2× 1.5k 0.9× 440 1.0× 154 0.5× 149 4.1k
Sherief Reda United States 32 1.7k 0.7× 2.4k 1.1× 635 0.4× 283 0.7× 221 0.8× 153 3.2k
Bashir M. Al‐Hashimi United Kingdom 39 2.6k 1.1× 4.1k 1.9× 2.0k 1.2× 321 0.7× 212 0.7× 337 5.6k
Henk Corporaal Netherlands 32 3.1k 1.4× 1.5k 0.7× 2.3k 1.4× 511 1.2× 734 2.5× 394 4.7k
Axel Jantsch Sweden 36 4.0k 1.7× 2.5k 1.2× 4.7k 2.8× 364 0.8× 223 0.8× 366 6.2k
Davide Rossi Italy 27 1.0k 0.4× 1.6k 0.7× 875 0.5× 547 1.3× 559 1.9× 204 2.9k
John Wawrzynek United States 30 2.9k 1.3× 1.3k 0.6× 2.4k 1.4× 556 1.3× 483 1.7× 128 4.3k
Diana Marculescu United States 39 3.1k 1.4× 3.6k 1.7× 1.9k 1.2× 504 1.2× 617 2.1× 246 5.6k
Luigi Carro Brazil 32 2.8k 1.2× 2.7k 1.3× 1.7k 1.0× 403 0.9× 216 0.8× 362 4.1k
Fadi Kurdahi United States 29 2.4k 1.0× 2.1k 1.0× 1.5k 0.9× 258 0.6× 180 0.6× 254 3.8k

Countries citing papers authored by Akash Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akash Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akash Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Akash Kumar. A scholar is included among the top collaborators of Akash Kumar 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 Akash Kumar. Akash Kumar 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
2.
Singh, Ayush, et al.. (2024). Semi-supervised Active Learning for Video Action Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4891–4899. 3 indexed citations
3.
Shivakumara, Palaiahnakote, et al.. (2023). A new U-Net based system for multi-cultural wedding image classification. Expert Systems with Applications. 237. 121562–121562. 1 indexed citations
4.
Kumar, Akash, et al.. (2023). Motivating Agent-Based Learning for Bounding Time in Mixed-Criticality Systems. 1–2. 2 indexed citations
5.
Guntoro, Andre, et al.. (2022). Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. IEEE Micro. 42(6). 17–24. 3 indexed citations
6.
Kumar, Akash, et al.. (2022). A Partial-Reconfiguration-Enabled HW/SW Co-Design Benchmark for LTE Applications. Electronics. 11(7). 978–978. 2 indexed citations
7.
Spagnolo, Fanny, Salim Ullah, Pasquale Corsonello, & Akash Kumar. (2022). ERMES: Efficient Racetrack Memory Emulation System based on FPGA. 342–349. 1 indexed citations
8.
Salehi, M T Zahraei, et al.. (2021). Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(5). 1509–1522. 7 indexed citations
9.
Ebrahimi, Zahra, Salim Ullah, & Akash Kumar. (2020). LeAp: Leading-one Detection-based Softcore Approximate Multipliers with Tunable Accuracy. 605–610. 14 indexed citations
10.
Canonne, Clément L., Elena Grigorescu, Siyao Guo, Akash Kumar, & Karl Wimmer. (2019). . Theory of Computing. 15(1). 1–55. 3 indexed citations
11.
Rehman, Semeen, et al.. (2018). DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. 917–920. 48 indexed citations
12.
Rai, Shubham, et al.. (2018). Designing Efficient Circuits Based on Runtime-Reconfigurable Field-Effect Transistors. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(3). 560–572. 70 indexed citations
13.
Kumar, Akash. (2018). PERFORMANCE OF REGIONAL RURAL BANKS (RRBs) IN BIHAR : AN ANALYTICAL STUDY. Journal of Emerging Technologies and Innovative Research. 5(1). 756-762–756-762. 1 indexed citations
14.
Ullah, Salim, et al.. (2018). SMApproxLib: Library of FPGA-based Approximate Multipliers. Qucosa (Saxon State and University Library Dresden). 1–6. 41 indexed citations
15.
Fettweis, Gerhard, Meik Dörpinghaus, Jerónimo Castrillón, et al.. (2018). Architecture and Advanced Electronics Pathways Toward Highly Adaptive Energy- Efficient Computing. Proceedings of the IEEE. 107(1). 204–231. 29 indexed citations
16.
Kohen, David, Akash Kumar, Riko I Made, et al.. (2017). Growth of InGaAs-channel transistor layers on large-scale Si wafers for HeteroIntegration with Si CMOS. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
17.
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
18.
Kumar, Akash, et al.. (2007). Multi-Processor System-Level Synthesis for Multiple Applications on Platform FPGA. TU/e Research Portal. 92–97. 9 indexed citations
19.
Kumar, Akash, Bart Mesman, B.D. Theelen, Henk Corporaal, & Yajun Ha. (2006). Resource Manager for Non-preemptive Heterogeneous Multiprocessor System-on-chip. 33–38. 13 indexed citations
20.
Shang, Li, Li-Shiuan Peh, Akash Kumar, & Niraj K. Jha. (2005). Thermal Modeling, Characterization and Management of On-Chip Networks. 67–78. 145 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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