Jim Ignowski

607 total citations
20 papers, 435 citations indexed

About

Jim Ignowski is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Jim Ignowski has authored 20 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 6 papers in Hardware and Architecture. Recurrent topics in Jim Ignowski's work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Network Packet Processing and Optimization (4 papers). Jim Ignowski is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Network Packet Processing and Optimization (4 papers). Jim Ignowski collaborates with scholars based in United States, Germany and Hong Kong. Jim Ignowski's co-authors include Samuel Naffziger, Xia Sheng, Can Li, John Paul Strachan, Catherine E. Graves, P. Pant, D. Josephson, Sai Rahul Chalamalasetti, Matthew P. Hardy and Sity Lam and has published in prestigious journals such as Advanced Materials, Nature Communications and IEEE Journal of Solid-State Circuits.

In The Last Decade

Jim Ignowski

15 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Ignowski United States	7	360	173	73	59	43	20	435
Xifan Tang United States	13	427 1.2×	202 1.2×	37 0.5×	37 0.6×	34 0.8×	43	475
Chien-Chen Lin Taiwan	10	387 1.1×	141 0.8×	61 0.8×	18 0.3×	29 0.7×	14	432
Jean-Philippe Noël France	12	520 1.4×	103 0.6×	50 0.7×	54 0.9×	20 0.5×	40	539
Chunyu Peng China	14	697 1.9×	225 1.3×	50 0.7×	35 0.6×	36 0.8×	95	738
Pravin Mane India	6	393 1.1×	90 0.5×	35 0.5×	51 0.9×	34 0.8×	18	430
Qiaosha Zou China	9	392 1.1×	154 0.9×	148 2.0×	30 0.5×	62 1.4×	26	510
Sung-Joo Hong South Korea	10	418 1.2×	130 0.8×	95 1.3×	16 0.3×	29 0.7×	17	473
Yuhao Wang Singapore	11	277 0.8×	64 0.4×	86 1.2×	20 0.3×	66 1.5×	26	347
Matthew M. Ziegler United States	14	703 2.0×	138 0.8×	29 0.4×	148 2.5×	34 0.8×	40	772
Je-Min Hung Taiwan	12	744 2.1×	123 0.7×	53 0.7×	34 0.6×	138 3.2×	15	815

Countries citing papers authored by Jim Ignowski

Since Specialization

Citations

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

Fields of papers citing papers by Jim Ignowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Ignowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Ignowski. A scholar is included among the top collaborators of Jim Ignowski 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 Jim Ignowski. Jim Ignowski 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

Dong, Shuai, Giacomo Pedretti, Xia Sheng, et al.. (2025). Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks. Nature Communications. 16(1). 1136–1136. 4 indexed citations

Pedretti, Giacomo, et al.. (2025). Real-time raw signal genomic analysis using fully integrated memristor hardware. Nature Computational Science. 5(10). 940–951.

Zhao, Lei, et al.. (2025). Enhancing FPGAs with Analog In-Memory Computing Macros. 179–179. 1 indexed citations

Goldman, Alfredo, Guido Araújo, Giacomo Pedretti, et al.. (2025). Boosting Task Scheduling Data Locality with Low-latency, HW-accelerated Label Propagation. 1549–1564.

Pedretti, Giacomo, Fabian Böhm, Arne Heittmann, et al.. (2025). Solving Boolean satisfiability problems with resistive content addressable memories. 2(1). 1 indexed citations

Zhao, Lei, Omar Eldash, Giacomo Pedretti, et al.. (2025). Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. 290–290.

Bhattacharya, Tanmoy, Sanghyeon Choi, George Hutchinson, et al.. (2025). Controlling ReRAM’s Switching Characteristics with Shadow Memory for Continual Learning. 1–4.

Pedretti, Giacomo, Lei Zhao, J. W. Moon, et al.. (2024). Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. 1–5. 1 indexed citations

Aysu, Aydın, et al.. (2024). RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. ACM Transactions on Reconfigurable Technology and Systems. 17(4). 1–33. 3 indexed citations

10.

Pedretti, Giacomo, Xia Sheng, Jim Ignowski, et al.. (2024). Computing high-degree polynomial gradients in memory. Nature Communications. 15(1). 8211–8211. 10 indexed citations

11.

Pedretti, Giacomo, Sergey Serebryakov, Omar Eldash, et al.. (2024). CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. 1–9.

12.

Pedretti, Giacomo, Sergey Serebryakov, Ron M. Roth, et al.. (2024). X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 10. 116–124. 2 indexed citations

13.

Zeng, Qunsong, Jiawei Liu, Yi Gong, et al.. (2023). Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G. IEEE Internet of Things Journal. 11(3). 5169–5183. 9 indexed citations

14.

Pedretti, Giacomo, Fabian Böhm, Tanmoy Bhattacharya, et al.. (2023). Zeroth and higher-order logic with content addressable memories. 1–4. 3 indexed citations

15.

Moon, J. W., et al.. (2023). Design Space Exploration of Analog CAM for Tree-Based Models. 11. 93–97. 1 indexed citations

16.

Graves, Catherine E., et al.. (2020). In‐Memory Computing with Memristor Content Addressable Memories for Pattern Matching. Advanced Materials. 32(37). e2003437–e2003437. 82 indexed citations

17.

Li, Can, et al.. (2020). CMOS-integrated nanoscale memristive crossbars for CNN and optimization acceleration. The HKU Scholars Hub (University of Hong Kong). 1–4. 18 indexed citations

18.

Graves, Catherine E., Sity Lam, Xuema Li, et al.. (2019). Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection. IEEE Transactions on Nanotechnology. 18. 963–970. 38 indexed citations

19.

Pant, P., et al.. (2009). Voltage transient detection and induction for debug and test. 1–10. 32 indexed citations

20.

Ignowski, Jim, et al.. (2005). Power and Temperature Control on a 90-nm Itanium Family Processor. IEEE Journal of Solid-State Circuits. 41(1). 229–237. 230 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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