Jim Ignowski

645 citations
22 papers · 472 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • VLSI and Analog Circuit Testing
    • Advanced Memory and Neural Computing
    • Low-power high-performance VLSI design
    • Ferroelectric and Negative Capacitance Devices
    • Semiconductor materials and devices
    • Advancements in Semiconductor Devices and Circuit Design

Papers in

    • Advanced Memory and Neural Computing 12
    • Ferroelectric and Negative Capacitance Devices 5
    • CCD and CMOS Imaging Sensors 2
    • Neural Networks and Applications 3
    • Machine Learning and Data Classification 2
    • Adversarial Robustness in Machine Learning 1

Jim Ignowski

15 papers receiving 450 citations

Peers

Jim Ignowski
Comparison fields: 5 of 28
  • Hardware and Architecture 180
  • Electrical and Electronic Engineering 379
  • Computer Networks and Communications 74
  • Cellular and Molecular Neuroscience 38
  • Artificial Intelligence 49
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jim Ignowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jim Ignowski Line = papers co-authored together Jim Ignowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005239
2 202087
3 201940
4 200933
5 202022
6 202416
7 202313
8 20256
9 20253
10 20243
11 20243
12 20233
13 20242
14 20251
15 20231
16 20250
17 20260
18 20250
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20 20240

About Jim Ignowski

Jim Ignowski is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Molecular Biology, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Network Packet Processing and Optimization (4 papers), Neural Networks and Applications (3 papers), CCD and CMOS Imaging Sensors (2 papers), Machine Learning and Data Classification (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Hardware and Architecture (180 citations), Electrical and Electronic Engineering (379 citations), Computer Networks and Communications (74 citations), Cellular and Molecular Neuroscience (38 citations) and Artificial Intelligence (49 citations). Jim Ignowski has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include R. McGowen, Samuel Naffziger, Can Li, John Paul Strachan, Xia Sheng, Catherine E. Graves, P. Pant, D. Josephson, Giacomo Pedretti and Xuema Li. Their work appears in journals such as Nature Communications, ACM Transactions on Reconfigurable Technology and Systems, Advanced Materials, IEEE Journal of Solid-State Circuits and IEEE Internet of Things Journal.

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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