M. Campbell

29.1k total citations
8 papers, 47 citations indexed

About

M. Campbell is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, M. Campbell has authored 8 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in M. Campbell's work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (5 papers) and Computational Physics and Python Applications (2 papers). M. Campbell is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (5 papers) and Computational Physics and Python Applications (2 papers). M. Campbell collaborates with scholars based in United States, Italy and Israel. M. Campbell's co-authors include B. Denby, F. Bedeschi, Fabrizio Nesti, C. Edward Bowers, Neil Chriss, C. Grosso-Pilcher, G. Redlinger, M. J. Shochet, K. Burkett and W. Badgett and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science and International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

M. Campbell

6 papers receiving 44 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Campbell United States	4	32	16	11	5	5	8	47
M. Passaseo Italy	5	25 0.8×	15 0.9×	13 1.2×	6 1.2×	3 0.6×	11	45
Alexander Spiridonov Russia	4	37 1.2×	6 0.4×	9 0.8×	6 1.2×	7 1.4×	10	61
F. Ratnikov Russia	6	61 1.9×	18 1.1×	12 1.1×	12 2.4×	5 1.0×	28	90
A. Wurz Germany	5	25 0.8×	22 1.4×	18 1.6×	9 1.8×	4 0.8×	14	59
K. Maeshima United States	5	28 0.9×	11 0.7×	7 0.6×	13 2.6×	1 0.2×	19	48
L. Ristori Italy	5	27 0.8×	7 0.4×	15 1.4×	2 0.4×	2 0.4×	15	44
G. B. Cerati United States	5	31 1.0×	25 1.6×	4 0.4×	11 2.2×	10 2.0×	17	69
J. Patrick United States	4	31 1.0×	7 0.4×	15 1.4×	2 0.4×	2 0.4×	7	55
J. Gläß Germany	4	15 0.5×	19 1.2×	13 1.2×	4 0.8×	5 1.0×	8	43
H. Haggerty United States	5	26 0.8×	16 1.0×	7 0.6×	2 0.4×		13	46

Countries citing papers authored by M. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by M. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Campbell

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

All Works

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8 of 8 papers shown

1.

Tecchio, M., et al.. (2015). The upgrade for the data acquisition system of the KOTO detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 824. 365–366.

2.

Tecchio, M., J. J. Xu, M. Campbell, et al.. (2015). The Data Acquisition System for the KOTO detector. 203–203. 1 indexed citations

3.

Campbell, M., et al.. (2002). OSPREY: a transputer based continuous speech recognition system. International Conference on Acoustics, Speech, and Signal Processing. 949–952.

4.

Denby, B., Clark S. Lindsey, M. Dickson, et al.. (1995). Performance of the CDF neural network electron isolation trigger at Fermilab. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 356(2-3). 485–492. 7 indexed citations

5.

Denby, B., M. Campbell, F. Bedeschi, et al.. (1990). Neural networks for triggering. IEEE Transactions on Nuclear Science. 37(2). 248–254. 17 indexed citations

6.

Amidei, D., M. Campbell, H. Frisch, et al.. (1988). The CDF trigger. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 265(1-2). 326–335. 4 indexed citations

7.

Amidei, D., M. Campbell, Henry J. Frisch, et al.. (1988). A two level fastbus based trigger system for CDF. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 269(1). 51–62. 17 indexed citations

8.

Campbell, M., et al.. (1985). CDF Trigger Interface Board 'FRED'. IEEE Transactions on Nuclear Science. 32(4). 1345–1347. 1 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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