Adam Carpenter

459 total citations
16 papers, 219 citations indexed

About

Adam Carpenter is a scholar working on Aerospace Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Adam Carpenter has authored 16 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aerospace Engineering, 3 papers in Ocean Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Adam Carpenter's work include Particle accelerators and beam dynamics (6 papers), Computational Physics and Python Applications (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). Adam Carpenter is often cited by papers focused on Particle accelerators and beam dynamics (6 papers), Computational Physics and Python Applications (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). Adam Carpenter collaborates with scholars based in United States, Ghana and United Kingdom. Adam Carpenter's co-authors include David Walk, Barbara Segal, Steven Fischkoff, John Huddlestone, Lauren Krupp, Fred Lublin, Mark S. Freedman, Marcelo Kremenchutzky, James D. Bowen and Robert Hariri and has published in prestigious journals such as Ergonomics, Rheumatic Disease Clinics of North America and Health Care Management Science.

In The Last Decade

Adam Carpenter

16 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Carpenter United States	6	71	67	38	38	38	16	219
Ramil Hakim Sweden	10	38 0.5×	148 2.2×	62 1.6×	32 0.8×	18 0.5×	11	306
H.R. Arvinda India	10	59 0.8×	47 0.7×	39 1.0×	76 2.0×	12 0.3×	19	250
Eun Kyung Lee South Korea	10	16 0.2×	51 0.8×	69 1.8×	30 0.8×	21 0.6×	28	300
Mahendra Rao India	9	38 0.5×	20 0.3×	59 1.6×	53 1.4×	8 0.2×	19	220
Grazia Menna Italy	12	128 1.8×	47 0.7×	43 1.1×	32 0.8×	9 0.2×	46	327
Miguel Ángel Gamero-García Spain	8	23 0.3×	78 1.2×	8 0.2×	29 0.8×	14 0.4×	14	210
P. Ferrazza Italy	10	25 0.4×	239 3.6×	34 0.9×	24 0.6×	19 0.5×	24	449
Vasileios Apostolopoulos Czechia	8	43 0.6×	15 0.2×	50 1.3×	20 0.5×	23 0.6×	37	168
Arun Angelo Patil United States	12	71 1.0×	40 0.6×	130 3.4×	25 0.7×	11 0.3×	49	381
István Szanyi Hungary	11	29 0.4×	17 0.3×	84 2.2×	80 2.1×	13 0.3×	36	319

Countries citing papers authored by Adam Carpenter

Since Specialization

Citations

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

Fields of papers citing papers by Adam Carpenter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Carpenter

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

Schram, Malachi, et al.. (2025). Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators. Machine Learning Science and Technology. 6(2). 25018–25018. 1 indexed citations

Ferguson, H. C., et al.. (2025). Detecting anomalous SRF cavity behavior with unsupervised learning. Physical Review Accelerators and Beams. 28(3). 1 indexed citations

Carpenter, Adam, et al.. (2025). Data-driven gradient optimization for field emission management in a superconducting radio-frequency linac. Physical Review Accelerators and Beams. 28(4). 1 indexed citations

Carpenter, Adam, et al.. (2024). Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. Machine Learning Science and Technology. 5(3). 35078–35078. 2 indexed citations

Li, Jiang, et al.. (2024). Transfer learning for field emission mitigation in CEBAF SRF cavities. ODU Digital Commons (Old Dominion University). 1 indexed citations

Vidyaratne, Lasitha, et al.. (2023). Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 1 indexed citations

Vidyaratne, Lasitha, et al.. (2022). Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers in Artificial Intelligence. 4. 718950–718950. 4 indexed citations

James, Lisa M., Scott M. Lewis, Adam Carpenter, et al.. (2021). Lupus Anticoagulant in Gulf War Illness and Autoimmune Disorders: A Common Pathway Toward Autoimmunity. PubMed. 5(1). 14–18. 4 indexed citations

Vidyaratne, Lasitha, et al.. (2021). INITIAL STUDIES OF CAVITY FAULT PREDICTION AT JEFFERSON LABORATORY. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

10.

Carpenter, Adam, et al.. (2019). SRF Cavity Fault Classification Using Machine Learning At CEBAF. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations

11.

Butler, Mary, et al.. (2015). Decisional Dilemmas in Discontinuing Prolonged Disease-Modifying Treatment for Multiple Sclerosis. Europe PMC (PubMed Central). 14 indexed citations

12.

Lublin, Fred, James D. Bowen, John Huddlestone, et al.. (2014). Human placenta-derived cells (PDA-001) for the treatment of adults with multiple sclerosis: A randomized, placebo-controlled, multiple-dose study. Multiple Sclerosis and Related Disorders. 3(6). 696–704. 101 indexed citations

13.

Roohani, Pezhman, et al.. (2014). Late onset multiple sclerosis: Is it really late onset?. Multiple Sclerosis and Related Disorders. 3(4). 444–449. 23 indexed citations

14.

Carpenter, Adam, et al.. (2011). Managing magnetic resonance imaging machines: support tools for scheduling and planning. Health Care Management Science. 14(2). 158–173. 17 indexed citations

15.

Segal, Barbara, Adam Carpenter, & David Walk. (2008). Involvement of Nervous System Pathways in Primary Sjögren's Syndrome. Rheumatic Disease Clinics of North America. 34(4). 885–906. 36 indexed citations

16.

Leonard, J. A. & Adam Carpenter. (1964). ON THE CORRELATION BETWEEN A SERIAL CHOICE REACTION TASK AND SUBSEQUENT ACHIEVEMENT AT TYPEWRITING. Ergonomics. 7(2). 197–204. 7 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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