D. Cutts

53.3k total citations
10 papers, 70 citations indexed

About

D. Cutts is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, D. Cutts has authored 10 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 3 papers in Electrical and Electronic Engineering. Recurrent topics in D. Cutts's work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). D. Cutts is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). D. Cutts collaborates with scholars based in United States. D. Cutts's co-authors include R. Stiening, Martin Deutsch, C. Wiegand, P. D. Grannis, Myron L. Good, Roland N. Pittman, A. C. Benvenuti, D. D. Reeder, G. Fischer and D. Hedin and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Nuclear Science and Physical Review.

In The Last Decade

D. Cutts

9 papers receiving 69 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Cutts United States 4 61 8 6 6 4 10 70
J. Schlereth United States 5 59 1.0× 6 0.8× 4 0.7× 6 1.0× 7 1.8× 21 71
L. Šándor Slovakia 4 47 0.8× 5 0.6× 7 1.2× 3 0.5× 4 1.0× 22 53
L. Zanello Italy 5 28 0.5× 12 1.5× 5 0.8× 8 1.3× 3 0.8× 11 36
T. Hansl‐Kozanecka Germany 4 60 1.0× 16 2.0× 6 1.0× 13 2.2× 3 0.8× 10 70
C. Bloise Italy 4 45 0.7× 11 1.4× 3 0.5× 6 1.0× 2 0.5× 14 48
J. Schwarz Germany 3 46 0.8× 12 1.5× 7 1.2× 8 1.3× 2 0.5× 3 50
O. Callot France 5 75 1.2× 6 0.8× 3 0.5× 4 0.7× 15 3.8× 30 97
R. L. Wagner United States 5 52 0.9× 10 1.3× 12 2.0× 11 1.8× 1 0.3× 7 61
Y. Chatelus France 3 47 0.8× 13 1.6× 16 2.7× 9 1.5× 5 61
R. Zitoun France 7 116 1.9× 3 0.4× 6 1.0× 6 1.0× 2 0.5× 21 118

Countries citing papers authored by D. Cutts

Since Specialization
Citations

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

Fields of papers citing papers by D. Cutts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

10 of 10 papers shown
1.
Brooijmans, G., D. Chapin, Abraham Anthony Clements, et al.. (2003). Ethernet-based data acquisition system for the DO experiment at Fermilab. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). 961–963 Vol.2. 2 indexed citations
2.
Briskin, G., et al.. (2002). Control of large scale distributed DAQ/trigger systems in the networked PC era. 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149). 3. 26/34–26/39. 2 indexed citations
3.
Cutts, D., et al.. (1990). Applications of neural networks in high energy physics. AIP conference proceedings. 209. 203–210. 1 indexed citations
4.
Cutts, D., J. S. Hoftun, Christopher R. Johnson, & R. Zeller. (1989). A microprocessor farm architecture for high speed data acquisition and analysis. IEEE Transactions on Nuclear Science. 36(1). 738–739. 2 indexed citations
5.
Cutts, D., et al.. (1989). The use of neural networks in the D0 data acquisition system. IEEE Transactions on Nuclear Science. 36(5). 1490–1493.
6.
Grannis, P. D., D. Hedin, D. E. Jaffe, et al.. (1983). Response of a highly segmented extruded lead glass calorimeter to electrons and pions between 15 and 45 GeV/c. Nuclear Instruments and Methods in Physics Research. 216(1-2). 45–56. 12 indexed citations
7.
Cutts, D., Myron L. Good, P. D. Grannis, et al.. (1978). Antiproton-proton charge exchange between 1 and 3 GeV/c. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 17(1). 16–23. 15 indexed citations
8.
Cutts, D., Myron L. Good, P. D. Grannis, et al.. (1974). Backwardp¯pCharge Exchange from 1 to 3 GeV/c. Physical Review Letters. 32(17). 950–953. 3 indexed citations
9.
Cutts, D., R. Stiening, C. Wiegand, & Martin Deutsch. (1968). Measurement of the Total Muon Polarization inK+π0+μ++ν. Physical Review Letters. 20(17). 955–958. 20 indexed citations
10.
Cutts, D., et al.. (1965). Muon Polarization and Energy Spectrum inK+π0+μ++ν. Physical Review. 138(4B). B969–B979. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026