Ehsan K. Ardestani

659 total citations
29 papers, 391 citations indexed

About

Ehsan K. Ardestani is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Ehsan K. Ardestani has authored 29 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 11 papers in Electrical and Electronic Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Ehsan K. Ardestani's work include Parallel Computing and Optimization Techniques (15 papers), Low-power high-performance VLSI design (9 papers) and Advanced Data Storage Technologies (4 papers). Ehsan K. Ardestani is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Low-power high-performance VLSI design (9 papers) and Advanced Data Storage Technologies (4 papers). Ehsan K. Ardestani collaborates with scholars based in United States, Iran and Spain. Ehsan K. Ardestani's co-authors include Jose Renau, Francisco J. Mesa-Martínez, Amirkoushyar Ziabari, Ali Shakouri, Sung-Mo Kang, Suzanne Rivoire, John D. Davis, Moisés Goldszmidt, Heshmatollah Alinezhad and Changkyu Kim and has published in prestigious journals such as Kidney International, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM SIGPLAN Notices.

In The Last Decade

Ehsan K. Ardestani

29 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehsan K. Ardestani United States	11	227	211	150	53	24	29	391
Indrani Paul United States	10	145 0.6×	275 1.3×	263 1.8×	100 1.9×	6 0.3×	27	377
Venkata Krishnan United States	13	166 0.7×	632 3.0×	591 3.9×	66 1.2×	54 2.3×	31	820
Gregory R. Watson United States	8	79 0.3×	133 0.6×	291 1.9×	46 0.9×	5 0.2×	29	363
Matthew Poremba United States	8	211 0.9×	279 1.3×	292 1.9×	37 0.7×	16 0.7×	14	403
Arthur S Buddy Bland United States	6	111 0.5×	110 0.5×	178 1.2×	46 0.9×	14 0.6×	9	272
Francisco J. Mesa-Martínez United States	9	176 0.8×	177 0.8×	100 0.7×	26 0.5×	20 0.8×	13	301
Charles J Archer United States	7	59 0.3×	234 1.1×	244 1.6×	29 0.5×	7 0.3×	16	322
Junchang Wang China	11	122 0.5×	84 0.4×	417 2.8×	108 2.0×	23 1.0×	30	518
Banit Agrawal United States	10	280 1.2×	382 1.8×	380 2.5×	39 0.7×	9 0.4×	28	554
Shin’ichi Wakabayashi Japan	9	248 1.1×	119 0.6×	53 0.4×	6 0.1×	31 1.3×	96	381

Countries citing papers authored by Ehsan K. Ardestani

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan K. Ardestani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan K. Ardestani. 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 Ehsan K. Ardestani. The network helps show where Ehsan K. Ardestani may publish in the future.

Co-authorship network of co-authors of Ehsan K. Ardestani

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan K. Ardestani. A scholar is included among the top collaborators of Ehsan K. Ardestani 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 Ehsan K. Ardestani. Ehsan K. Ardestani 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

Feng, Louis, Ehsan K. Ardestani, Jaewon Lee, et al.. (2022). Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. 227–229. 4 indexed citations

Feng, Louis, et al.. (2022). Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. 48–58. 6 indexed citations

Ardestani, Ehsan K., et al.. (2018). GPU NTC Process Variation Compensation With Voltage Stacking. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(9). 1713–1726. 12 indexed citations

Pourhomayoun, Mohammad, Nabil Alshurafa, Foad Dabiri, et al.. (2017). Why Do We Need a Remote Health Monitoring System? A Study on Predictive Analytics for Heart Failure Patients. 8 indexed citations

Ziabari, Amirkoushyar, et al.. (2014). Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22(11). 2366–2379. 55 indexed citations

Ardestani, Ehsan K., et al.. (2013). An energy efficient GPGPU memory hierarchy with tiny incoherent caches. 9–14. 5 indexed citations

Ardestani, Ehsan K. & Jose Renau. (2013). ESESC: A fast multicore simulator using Time-Based Sampling. 448–459. 94 indexed citations

Ardestani, Ehsan K., et al.. (2013). Sampling in Thermal Simulation of Processors: Measurement, Characterization, and Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 32(8). 1187–1200. 10 indexed citations

Ardestani, Ehsan K., Amirkoushyar Ziabari, Ali Shakouri, & Jose Renau. (2012). Enabling power density and thermal-aware floorplanning. 302–307. 6 indexed citations

10.

Ardestani, Ehsan K., et al.. (2012). Thermal-aware sampling in architectural simulation. 33–38. 8 indexed citations

11.

Davis, John D., Suzanne Rivoire, Moisés Goldszmidt, & Ehsan K. Ardestani. (2011). Accounting for Variability in Large-Scale Cluster Power Models. CSUN ScholarWorks (California State University, Northridge). 18 indexed citations

12.

Davis, John D., Suzanne Rivoire, Moisés Goldszmidt, & Ehsan K. Ardestani. (2011). No Hardware Required: Building and Validating Composable Highly Accurate OS-based Power Models. Kidney International. 43(3). 693–9. 6 indexed citations

13.

Ziabari, Amirkoushyar, Ehsan K. Ardestani, Jose Renau, & Ali Shakouri. (2011). Fast thermal simulators for architecture level integrated circuit design. 70–75. 12 indexed citations

14.

Davis, John D., Suzanne Rivoire, Moisés Goldszmidt, & Ehsan K. Ardestani. (2011). Including Variability in Large-Scale Cluster Power Models. IEEE Computer Architecture Letters. 11(2). 29–32. 3 indexed citations

15.

Ardestani, Ehsan K., et al.. (2010). Cooling solutions for processor Infrared Thermography. 187–190. 10 indexed citations

16.

Mesa-Martínez, Francisco J., Ehsan K. Ardestani, & Jose Renau. (2010). Characterizing processor thermal behavior. ACM SIGPLAN Notices. 45(3). 193–204. 40 indexed citations

17.

Alinezhad, Heshmatollah, et al.. (2009). Synthesis of 4,4′-diaminotriphenylmethane derivatives using H3PW12O40 and HZSM5 zeolite under solvent-free conditions. Journal of the Iranian Chemical Society. 6(4). 816–822. 2 indexed citations

18.

Alinezhad, Heshmatollah & Ehsan K. Ardestani. (2008). ChemInform Abstract: Reductive Amination of Carbonyl Compounds with NaBH₄—H₃PW₁₂O₄₀ in THF and under Solvent‐Free Conditions.. ChemInform. 39(9). 2 indexed citations

19.

Ardestani, Ehsan K., Morteza Saheb Zamani, & Mehdi Sedighi. (2008). A Fast Transformation-Based Synthesis Algorithm for Reversible Circuits. 803–806. 2 indexed citations

20.

Alinezhad, Heshmatollah & Ehsan K. Ardestani. (2007). Reductive Amination of Carbonyl Compounds with NaBH4-H3PW12O40 in THF and Under Solvent-Free Conditions. Letters in Organic Chemistry. 4(7). 473–477. 12 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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