D. Acosta

93.9k total citations
29 papers, 376 citations indexed

About

D. Acosta is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiation. According to data from OpenAlex, D. Acosta has authored 29 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nuclear and High Energy Physics, 6 papers in Artificial Intelligence and 5 papers in Radiation. Recurrent topics in D. Acosta's work include Particle physics theoretical and experimental studies (20 papers), Particle Detector Development and Performance (12 papers) and High-Energy Particle Collisions Research (8 papers). D. Acosta is often cited by papers focused on Particle physics theoretical and experimental studies (20 papers), Particle Detector Development and Performance (12 papers) and High-Energy Particle Collisions Research (8 papers). D. Acosta collaborates with scholars based in United States, Switzerland and Portugal. D. Acosta's co-authors include Marco A. Panduro, Luz I. Balderas, Carlos A. Brizuela, J. H. Rademacker, J. Goldstein, W. Li, A. Madorsky, R. Wigmans, B. Ong and M.A. Stanojev Pereira and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

D. Acosta

22 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Acosta United States	9	121	113	93	57	33	29	376
Atsutake Kosuge Japan	13	65 0.5×	256 2.3×	88 0.9×	30 0.5×	44 1.3×	67	552
Willem Blokland United States	10	123 1.0×	128 1.1×	96 1.0×	28 0.5×	49 1.5×	58	313
D.W. Miller United States	11	46 0.4×	114 1.0×	30 0.3×	19 0.3×	55 1.7×	63	393
А. А. Богданов Russia	11	96 0.8×	24 0.2×	42 0.5×	41 0.7×	22 0.7×	64	417
Yaliang Zhao China	9	133 1.1×	206 1.8×	50 0.5×	18 0.3×	60 1.8×	31	287
James R. Winkelman United States	9	45 0.4×	184 1.6×	32 0.3×	16 0.3×	66 2.0×	11	579
Chunlei Zhang China	9	24 0.2×	89 0.8×	27 0.3×	64 1.1×	32 1.0×	42	317
Leandro Stefanazzi Argentina	10	44 0.4×	226 2.0×	59 0.6×	70 1.2×	54 1.6×	28	330
Lijun Cai China	9	91 0.8×	50 0.4×	136 1.5×	49 0.9×	124 3.8×	71	332
O. Barana Italy	11	103 0.9×	52 0.5×	292 3.1×	24 0.4×	98 3.0×	38	370

Countries citing papers authored by D. Acosta

Since Specialization

Citations

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

Fields of papers citing papers by D. Acosta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Acosta

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

Acosta, D., E. Barberis, Wei Li, et al.. (2025). Physics Potential, Accelerator Options, and Experimental Challenges of a TeV-Scale Muon-Ion Collider. 817–817.

Acosta, D., E. Barberis, W. Li, et al.. (2023). The potential of a TeV-scale muon-ion collider. Journal of Instrumentation. 18(9). P09025–P09025. 5 indexed citations

Acosta, D. & W. Li. (2022). A muon–ion collider at BNL: The future QCD frontier and path to a new energy frontier of μ+μ− colliders. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1027. 166334–166334. 13 indexed citations

Neglia, Giovanni, et al.. (2021). Federated Multi-Task Learning under a Mixture of Distributions. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations

Bourilkov, D., D. Acosta, P. Bortignon, et al.. (2019). Machine Learning Techniques in the CMS Search for Higgs Decays to Dimuons. SHILAP Revista de lepidopterología. 214. 6002–6002. 5 indexed citations

Acosta, D., A. Brinkerhoff, E. L. Busch, et al.. (2018). Boosted Decision Trees in the Level-1 Muon Endcap Trigger at CMS. Journal of Physics Conference Series. 1085. 42042–42042. 15 indexed citations

Low, J. F., D. Acosta, A. Brinkerhoff, et al.. (2018). Boosted Decision Trees in the CMS Level-1 Endcap Muon Trigger. CERN Document Server (European Organization for Nuclear Research). 143–143.

Acosta, D., A. Carnes, M. Carver, et al.. (2013). The CMS Modular Track Finder boards, MTF6 and MTF7. Journal of Instrumentation. 8(12). C12034–C12034. 8 indexed citations

Panduro, Marco A., Carlos A. Brizuela, Luz I. Balderas, & D. Acosta. (2009). A COMPARISON OF GENETIC ALGORITHMS, PARTICLE SWARM OPTIMIZATION AND THE DIFFERENTIAL EVOLUTION METHOD FOR THE DESIGN OF SCANNABLE CIRCULAR ANTENNA ARRAYS. Progress In Electromagnetics Research B. 13. 171–186. 189 indexed citations

10.

Acosta, D., R. D. Field, K. Kotov, et al.. (2006). The Underlying Event at the LHC. CERN Bulletin. 6 indexed citations

11.

Acosta, D., et al.. (2005). Measurement of the W + W - production cross section in p anti- p collisions sqrt[ s ] =1.96-TeV using dilepton events. Physical Review Letters. 94. 1–8. 41 indexed citations

12.

Acosta, D., et al.. (2005). Measurement of W gamma and Z gamma production in p anti- p collisions at sqrt[ s ] = 1.96-TeV. Physical Review Letters. 94. 1–8. 16 indexed citations

13.

Acosta, D.. (2005). Evidence for B~s^0 ¿ phi (variant)phi (variant) Decay and Measurements of Branching Ratio and A~C~P for B^+ ¿ phi (variant)K^+. Physical Review Letters. 95(3). 31801.

14.

Acosta, D., et al.. (2004). Measurement of the t anti-t production cross section in p anti-p collisions at s**(1/2) = 1.96-TeV using dilepton events. Physical Review Letters. 93.

15.

Acosta, D.. (2004). Observation of the Narrow State X(3872) ¿ J/psipi^+pi^- in pp Collisions at ¿s = 1.96 TeV. Physical Review Letters. 93(7). 72001–38.

16.

Acosta, D., et al.. (2003). Search for long lived charged massive particles in anti- p p collisions at sqrt[ s ] = 1.8-TeV. Physical Review Letters. 90. 1–14. 9 indexed citations

17.

Acosta, D., S. Klimenko, J. Konigsberg, et al.. (2002). The performance of the CDF luminosity monitor. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 494(1-3). 57–62. 8 indexed citations

18.

Acosta, D., B. Bylsma, L. S. Durkin, et al.. (1995). A scintillating fiber design for a ZEUS barrel calorimeter shower maximum detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 354(2-3). 296–308.

19.

Acosta, D., R. DeSalvo, F. Hartjes, et al.. (1993). Effects of radiation damage on scintillating fibre calorimetry. Radiation Physics and Chemistry. 41(1-2). 303–308. 2 indexed citations

20.

Acosta, D., R. DeSalvo, F.G. Hartjes, et al.. (1991). Effects of radiation damage on scintillating fibre calorimetry. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 62(1). 116–132. 23 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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