John J. Sampson

2.6k total citations
75 papers, 1.4k citations indexed

About

John J. Sampson is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John J. Sampson has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 11 papers in Hardware and Architecture and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John J. Sampson's work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Semiconductor materials and devices (11 papers). John J. Sampson is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Semiconductor materials and devices (11 papers). John J. Sampson collaborates with scholars based in United States, China and Taiwan. John J. Sampson's co-authors include Vijaykrishnan Narayanan, Xueqing Li, Kaisheng Ma, Sumeet Kumar Gupta, Sumitha George, Meyer Friedman, Sanford E. Leeds, Herman N. Uhley, Suman Datta and Yongpan Liu and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

John J. Sampson

74 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Sampson United States 22 726 281 216 158 147 75 1.4k
Paolo Meloni Italy 19 472 0.7× 503 1.8× 568 2.6× 43 0.3× 50 0.3× 96 1.1k
Joshua Cates United States 20 76 0.1× 168 0.6× 164 0.8× 553 3.5× 46 0.3× 55 1.5k
Yen‐Po Chen Taiwan 26 288 0.4× 45 0.2× 46 0.2× 102 0.6× 342 2.3× 88 2.3k
Shubhajit Roy Chowdhury India 15 323 0.4× 28 0.1× 30 0.1× 173 1.1× 20 0.1× 96 911
Thomas Breen United States 14 51 0.1× 60 0.2× 54 0.3× 95 0.6× 45 0.3× 40 654
Ülkühan Güler United States 15 282 0.4× 32 0.1× 54 0.3× 24 0.2× 65 0.4× 61 681
M. YOKOYAMA Japan 14 227 0.3× 22 0.1× 38 0.2× 72 0.5× 38 0.3× 78 575
Bing Leng China 15 129 0.2× 11 0.0× 106 0.5× 17 0.1× 43 0.3× 88 741
Sunwoong Choi South Korea 13 341 0.5× 5 0.0× 443 2.1× 141 0.9× 23 0.2× 64 894
Yu‐Chuan Tsai Taiwan 16 47 0.1× 36 0.1× 34 0.2× 40 0.3× 52 0.4× 66 805

Countries citing papers authored by John J. Sampson

Since Specialization
Citations

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

Fields of papers citing papers by John J. Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Sampson. 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 John J. Sampson. The network helps show where John J. Sampson may publish in the future.

Co-authorship network of co-authors of John J. Sampson

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Sampson. A scholar is included among the top collaborators of John J. Sampson 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 John J. Sampson. John J. Sampson 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
1.
Zhang, He, et al.. (2024). Precision Delivery Using Nanopipette for Single-Cell Studies. Dian hua xue. 30(12). 1 indexed citations
2.
Sampson, John J., et al.. (2021). Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(12). 2186–2196. 2 indexed citations
3.
George, Sumitha, Jagadish Kotra, Madhu Mutyam, et al.. (2020). Optimization of Intercache Traffic Entanglement in Tagless Caches With Tiling Opportunities. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3881–3892. 1 indexed citations
4.
George, Sumitha, et al.. (2020). Integrated CAM-RAM Functionality using Ferroelectric FETs. 81–86. 4 indexed citations
5.
Li, Xueqing, Juejian Wu, Kai Ni, et al.. (2019). Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. IEEE Design and Test. 36(3). 39–45. 29 indexed citations
6.
Sengupta, Abhronil, et al.. (2019). Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. 1–5. 6 indexed citations
7.
Sampson, John J., et al.. (2019). Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(3). 509–519. 9 indexed citations
8.
Li, Xueqing, John J. Sampson, Asif Islam Khan, et al.. (2017). Enabling Energy-Efficient Nonvolatile Computing With Negative Capacitance FET. IEEE Transactions on Electron Devices. 64(8). 3452–3458. 74 indexed citations
9.
Ma, Kaisheng, Xueqing Li, Karthik Swaminathan, et al.. (2016). Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro. 36(3). 72–83. 32 indexed citations
10.
George, Sumitha, Kaisheng Ma, Ahmedullah Aziz, et al.. (2016). Nonvolatile memory design based on ferroelectric FETs. 1–6. 99 indexed citations
11.
Chang, Meng‐Fan, Shyh-Shyuan Sheu, Chia-Chen Kuo, et al.. (2016). Designs of emerging memory based non-volatile TCAM for Internet-of-Things (IoT) and big-data processing: A 5T2R universal cell. 1142–1145. 23 indexed citations
12.
Barch, Davis, Andrew S. Cassidy, Michael DeBole, et al.. (2016). Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor. IEEE Transactions on Computers. 66(6). 996–1007. 24 indexed citations
13.
Ma, Kaisheng, Xueqing Li, Yongpan Liu, et al.. (2015). Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile. International Conference on Computer Aided Design. 670–675. 12 indexed citations
14.
Sampson, John J.. (2008). Uniform family laws and model acts. 42(3). 673–685.
15.
Sampson, John J., et al.. (1972). Management of the Patient with Severe Angina Pectoris. Circulation. 46(6). 1185–1196. 1 indexed citations
16.
Uhley, Herman N., Sanford E. Leeds, John J. Sampson, & Meyer Friedman. (1962). Role of Pulmonary Lymphatics in Chronic Pulmonary Edema. Circulation Research. 11(6). 966–970. 52 indexed citations
17.
Sampson, John J.. (1962). Relationship of Potassium to Cardiac Disease. Diseases of the Chest. 42(3). 330–333. 2 indexed citations
18.
Sampson, John J.. (1958). Serum transaminase and other enzymes in acute myocardial infarction. Progress in Cardiovascular Diseases. 1(2). 187–205. 21 indexed citations
19.
Sampson, John J.. (1958). The Treatment of Shock in Myocardial Infarction. Diseases of the Chest. 33(6). 667–672. 2 indexed citations
20.
Sampson, John J., et al.. (1954). Norepinephrine in Shock Following Myocardial Infarction. Circulation. 9(1). 38–47. 37 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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