Mark Anders

4.0k total citations
143 papers, 3.0k citations indexed

About

Mark Anders is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Mark Anders has authored 143 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Electrical and Electronic Engineering, 54 papers in Hardware and Architecture and 27 papers in Artificial Intelligence. Recurrent topics in Mark Anders's work include Low-power high-performance VLSI design (38 papers), Semiconductor materials and devices (33 papers) and Advancements in Semiconductor Devices and Circuit Design (27 papers). Mark Anders is often cited by papers focused on Low-power high-performance VLSI design (38 papers), Semiconductor materials and devices (33 papers) and Advancements in Semiconductor Devices and Circuit Design (27 papers). Mark Anders collaborates with scholars based in United States, Germany and Israel. Mark Anders's co-authors include Ram Krishnamurthy, Sanu Mathew, Himanshu Kaul, Amit Agarwal, Shekhar Borkar, Steven Hsu, Steven K. Hsu, Sudhir Satpathy, Farhana Sheikh and Vivek De and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Mark Anders

139 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Anders United States 29 1.9k 1.3k 552 408 364 143 3.0k
Ali Sheikholeslami Canada 24 1.9k 1.0× 1.1k 0.9× 348 0.6× 190 0.5× 755 2.1× 152 3.0k
Swaroop Ghosh United States 27 1.9k 1.0× 981 0.8× 730 1.3× 110 0.3× 299 0.8× 204 2.6k
Massimo Alioto Singapore 38 3.8k 2.0× 1.2k 0.9× 582 1.1× 488 1.2× 308 0.8× 302 4.7k
Nishant Patil United States 31 2.4k 1.3× 477 0.4× 325 0.6× 231 0.6× 294 0.8× 63 4.0k
Chris H. Kim United States 39 4.6k 2.4× 994 0.8× 391 0.7× 157 0.4× 373 1.0× 200 5.8k
Deliang Fan United States 33 2.3k 1.2× 498 0.4× 1.2k 2.1× 538 1.3× 342 0.9× 179 3.2k
Mehdi B. Tahoori Germany 39 5.6k 2.9× 3.1k 2.4× 987 1.8× 129 0.3× 630 1.7× 491 6.7k
Takahiro Hanyu Japan 29 3.1k 1.6× 638 0.5× 540 1.0× 129 0.3× 634 1.7× 329 4.0k
Michael Niemier United States 34 3.4k 1.8× 408 0.3× 550 1.0× 173 0.4× 207 0.6× 189 4.0k
André DeHon United States 34 2.6k 1.3× 2.2k 1.7× 440 0.8× 154 0.4× 1.5k 4.3× 149 4.1k

Countries citing papers authored by Mark Anders

Since Specialization
Citations

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

Fields of papers citing papers by Mark Anders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Anders

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Anders. A scholar is included among the top collaborators of Mark Anders 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 Mark Anders. Mark Anders 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.
Anders, Mark, et al.. (2022). Data-driven RRAM device models using Kriging interpolation. Scientific Reports. 12(1). 5963–5963. 12 indexed citations
3.
Anders, Mark, et al.. (2022). Detection of individual spin species via frequency-modulated charge pumping. Applied Physics Letters. 120(5). 2 indexed citations
4.
Kumar, Raghavan, Xiaosen Liu, Vikram Suresh, et al.. (2021). A Time-/Frequency-Domain Side-Channel Attack Resistant AES-128 and RSA-4K Crypto-Processor in 14-nm CMOS. IEEE Journal of Solid-State Circuits. 56(4). 1141–1151. 18 indexed citations
5.
Anders, Mark, Patrick M. Lenahan, Nicholas J. Harmon, & Michael E. Flatté. (2020). A technique to measure spin-dependent trapping events at the metal–oxide–semiconductor field-effect transistor interface: Near zero field spin-dependent charge pumping. Journal of Applied Physics. 128(24). 6 indexed citations
6.
Kumar, Raghavan, Vikram Suresh, Monodeep Kar, et al.. (2020). A 4900-$\mu$ m2 839-Mb/s Side-Channel Attack- Resistant AES-128 in 14-nm CMOS With Heterogeneous Sboxes, Linear Masked MixColumns, and Dual-Rail Key Addition. IEEE Journal of Solid-State Circuits. 55(4). 945–955. 17 indexed citations
7.
Anders, Mark, Jason T. Ryan, Pragya R. Shrestha, et al.. (2019). Slow- and rapid-scan frequency-swept electrically detected magnetic resonance of MOSFETs with a non-resonant microwave probe within a semiconductor wafer-probing station. Review of Scientific Instruments. 90(1). 14708–14708. 9 indexed citations
8.
Kaul, Himanshu, Mark Anders, Sanu Mathew, Seongjong Kim, & Ram Krishnamurthy. (2019). Optimized Fused Floating-Point Many-Term Dot-Product Hardware for Machine Learning Accelerators. 84–87. 13 indexed citations
9.
Hsu, Steven, Amit Agarwal, Monodeep Kar, et al.. (2019). A Microwatt-Class Always-On Sensor Fusion Engine Featuring Ultra-Low-Power AOI Clocked Circuits in 14nm CMOS. C50–C51. 3 indexed citations
10.
Anders, Mark, Jason T. Ryan, Pragya R. Shrestha, et al.. (2018). Wafer-Level Electrically Detected Magnetic Resonance: Magnetic Resonance in a Probing Station. IEEE Transactions on Device and Materials Reliability. 18(2). 139–143. 9 indexed citations
11.
Kaul, Himanshu, Mark Anders, Sanu Mathew, et al.. (2018). Ultra-Lightweight 548–1080 Gate 166Gbps/W–12.6Tbps/W SIMON 32/64 Cipher Accelerators for IoT in 14nm Tri-gate CMOS. 1–4. 4 indexed citations
12.
Cochrane, Corey J., Jordana Blacksberg, Mark Anders, & Patrick M. Lenahan. (2016). Vectorized magnetometer for space applications using electrical readout of atomic scale defects in silicon carbide. Scientific Reports. 6(1). 37077–37077. 69 indexed citations
13.
Mathew, Sanu, Sudhir Satpathy, Vikram Suresh, et al.. (2015). 340 mV–1.1 V, 289 Gbps/W, 2090-Gate NanoAES Hardware Accelerator With Area-Optimized Encrypt/Decrypt GF(2 4 ) 2 Polynomials in 22 nm Tri-Gate CMOS. IEEE Journal of Solid-State Circuits. 50(4). 1048–1058. 106 indexed citations
14.
Mathew, Sanu, Sudhir Satpathy, Mark Anders, et al.. (2014). 16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS. 278–279. 192 indexed citations
16.
Sheikh, Farhana, Sanu Mathew, Mark Anders, et al.. (2012). A 2.05 GVertices/s 151 mW Lighting Accelerator for 3D Graphics Vertex and Pixel Shading in 32 nm CMOS. IEEE Journal of Solid-State Circuits. 48(1). 128–139. 16 indexed citations
17.
Srinivasan, Suresh, Sanu Mathew, R. Ramanarayanan, et al.. (2010). 2.4GHz 7mW all-digital PVT-variation tolerant True Random Number Generator in 45nm CMOS. 203–204. 46 indexed citations
18.
Kaul, Himanshu, Mark Anders, Sanu Mathew, et al.. (2009). A 320 mV 56 μW 411 GOPS/Watt Ultra-Low Voltage Motion Estimation Accelerator in 65 nm CMOS. IEEE Journal of Solid-State Circuits. 44(1). 107–114. 60 indexed citations
19.
Anders, Mark, Sanu Mathew, Steven Hsu, Ram Krishnamurthy, & Shekhar Borkar. (2007). A 1.9Gb/s 358mW 16-to-256 State Reconfigurable Viterbi Accelerator in 9Onm CMOS. 256–600. 2 indexed citations
20.
Krishnamurthy, Ram, et al.. (2002). High–performance, low–power, and leakage–tolerance challenges for sub–70nm microprocessor circuits. European Solid-State Circuits Conference. 315–321. 11 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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