C. Campagnari

45.5k total citations
16 papers, 295 citations indexed

About

C. Campagnari is a scholar working on Nuclear and High Energy Physics, Cardiology and Cardiovascular Medicine and Radiation. According to data from OpenAlex, C. Campagnari has authored 16 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 7 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiation. Recurrent topics in C. Campagnari's work include Particle physics theoretical and experimental studies (7 papers), Heart Failure Treatment and Management (7 papers) and Cardiovascular Function and Risk Factors (6 papers). C. Campagnari is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Heart Failure Treatment and Management (7 papers) and Cardiovascular Function and Risk Factors (6 papers). C. Campagnari collaborates with scholars based in United States, Switzerland and Netherlands. C. Campagnari's co-authors include Barry Greenberg, Eric Adler, Liviu Klein, Adriaan A. Voors, Oscar Ö. Braun, M. Tadel, Fima Macheret, Iziah E Sama, Wenhong Zhu and Marcus A. Urey and has published in prestigious journals such as Physical Review Letters, Reviews of Modern Physics and Journal of the American College of Cardiology.

In The Last Decade

C. Campagnari

14 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Campagnari United States	8	111	98	59	58	31	16	295
M. Tadel United States	7	60 0.5×	79 0.8×	51 0.9×	53 0.9×	29 0.9×	23	263
Phillip B. Warner United States	11	19 0.2×	8 0.1×	97 1.6×	38 0.7×	28 0.9×	28	336
Daniel Burns United Kingdom	8	37 0.3×	7 0.1×	20 0.3×	58 1.0×	17 0.5×	18	203
James Rafferty United Kingdom	9	40 0.4×	25 0.3×	11 0.2×	11 0.2×	52 1.7×	26	225
Christopher Duckworth United Kingdom	9	15 0.1×	9 0.1×	23 0.4×	50 0.9×	7 0.2×	13	252
Wann-Cherng Perng Taiwan	11	9 0.1×	13 0.1×	10 0.2×	31 0.5×	71 2.3×	16	348
Richard Bartels Netherlands	11	338 3.0×	4 0.0×	10 0.2×	16 0.3×	16 0.5×	17	448
Jean Coquet United States	10	9 0.1×	11 0.1×	7 0.1×	74 1.3×	8 0.3×	38	264
Alyssa T. Watanabe United States	9	4 0.0×	29 0.3×	9 0.2×	114 2.0×	31 1.0×	18	330
Pedro L. Teixeira United States	6		54 0.6×	63 1.1×	89 1.5×	51 1.6×	8	330

Countries citing papers authored by C. Campagnari

Since Specialization

Citations

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

Fields of papers citing papers by C. Campagnari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Campagnari

This figure shows the co-authorship network connecting the top 25 collaborators of C. Campagnari. A scholar is included among the top collaborators of C. Campagnari 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 C. Campagnari. C. Campagnari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Park, Jin Joo, et al.. (2025). Optimizing the Primary Prevention of Sudden Cardiac Death in Patients With Heart Failure. Journal of the American College of Cardiology. 86(5). 374–395.

Ahmad, Faraz S., Eric Adler, Lucia C. Petito, et al.. (2024). Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system. Clinical Research in Cardiology. 113(9). 1343–1354. 1 indexed citations

Jang, Se Yong, Jin Joo Park, Eric Adler, et al.. (2023). Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning Model. JACC Advances. 2(7). 100554–100554. 4 indexed citations

Jering, Karola, C. Campagnari, Brian Claggett, et al.. (2022). Improving clinical trial efficiency using a machine learning‐based risk score to enrich study populations. European Journal of Heart Failure. 24(8). 1418–1426. 11 indexed citations

Greenberg, Barry, et al.. (2021). A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fraction. European Journal of Heart Failure. 23(6). 995–999. 17 indexed citations

Greenberg, Barry, et al.. (2021). Machine Learning Applications in Heart Failure Disease Management: Hype or Hope?. Current Treatment Options in Cardiovascular Medicine. 23(6). 4 indexed citations

Adler, Eric, Adriaan A. Voors, Liviu Klein, et al.. (2019). Improving Risk Prediction in Heart Failure Using Machine Learning. European Journal of Heart Failure. 22(1). 139–147. 146 indexed citations

Adler, Eric, Adriaan A. Voors, Liviu Klein, et al.. (2019). MACHINE LEARNING ALGORITHM USING 8 COMMONLY ACQUIRED CLINICAL VARIABLES ACCURATELY PREDICTS MORTALITY IN HEART FAILURE. Journal of the American College of Cardiology. 73(9). 689–689. 1 indexed citations

Campagnari, C., et al.. (2012). FF-EMU: a radiation tolerant ASIC for the distribution of timing, trigger and control signals in the CMS End-Cap Muon detector. Journal of Instrumentation. 7(1). C01071–C01071. 2 indexed citations

10.

Affolder, A. A., Markus Axer, D. Barge, et al.. (2004). Test of CMS tracker silicon detector modules with the ARC system. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 535(1-2). 374–378. 3 indexed citations

11.

Affolder, A. A., D. Barge, C. Campagnari, et al.. (2004). Test of CMS tracker silicon detector modules with the ARC system. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 535(1-2). 374–378.

12.

Campagnari, C. & Meredith Franklin. (1997). The discovery of the top quark. Reviews of Modern Physics. 69(1). 137–212. 17 indexed citations

13.

Campagnari, C., V. Chaloupka, P. S. Cooper, et al.. (1992). Study of the decayK+→π+e+e−. Physical Review Letters. 68(3). 278–281. 27 indexed citations

14.

Campagnari, C., V. Chaloupka, P. S. Cooper, et al.. (1990). Improved limit on the branching ratio ofK+→π+μ+e−. Physical Review Letters. 64(2). 165–168. 26 indexed citations

15.

Campagnari, C., V. Chaloupka, P. S. Cooper, et al.. (1988). Search for the DecayK+→π+μ+e−. Physical Review Letters. 61(18). 2062–2065. 9 indexed citations

16.

Baker, N. J., H. A. Gordon, D. M. Lazarus, et al.. (1987). Search for Short-Lived Neutral Particles Emitted inK+Decay. Physical Review Letters. 59(25). 2832–2835. 27 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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