W. Badgett

39.2k total citations
10 papers, 18 citations indexed

About

W. Badgett is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, W. Badgett has authored 10 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 5 papers in Computer Networks and Communications and 2 papers in Electrical and Electronic Engineering. Recurrent topics in W. Badgett's work include Particle Detector Development and Performance (8 papers), Distributed and Parallel Computing Systems (5 papers) and Particle physics theoretical and experimental studies (5 papers). W. Badgett is often cited by papers focused on Particle Detector Development and Performance (8 papers), Distributed and Parallel Computing Systems (5 papers) and Particle physics theoretical and experimental studies (5 papers). W. Badgett collaborates with scholars based in United States, Italy and Switzerland. W. Badgett's co-authors include Sridhara Dasu, M. Campbell, K. Burkett, J. Konigsberg, B. Denby, G. Pauletta, W. H. Smith, Clark S. Lindsey, M. Dickson and Ricky Egeland and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

W. Badgett

5 papers receiving 13 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Badgett United States 3 8 6 4 4 2 10 18
S. Gkaitatzis Greece 3 6 0.8× 8 1.3× 3 0.8× 4 1.0× 1 0.5× 6 21
M. Bachtis United States 2 9 1.1× 3 0.5× 2 0.5× 4 1.0× 5 18
J. Bendavid Switzerland 2 6 0.8× 6 1.0× 5 1.3× 4 1.0× 4 19
M. Piendibene Italy 3 9 1.1× 5 0.8× 6 1.5× 6 1.5× 7 15
Saverio Citraro Italy 4 9 1.1× 7 1.2× 4 1.0× 6 1.5× 12 30
Jonas Nathanael Eschle Switzerland 3 11 1.4× 4 0.7× 4 1.0× 3 0.8× 1 0.5× 7 20
K. Meier Germany 2 10 1.3× 4 0.7× 3 0.8× 2 0.5× 6 13
S. Yang South Korea 3 13 1.6× 5 0.8× 3 0.8× 3 0.8× 2 1.0× 7 35
S. Meneghini Italy 3 6 0.8× 3 0.5× 2 0.5× 2 0.5× 7 12
F. Ligabue Italy 3 5 0.6× 3 0.5× 4 1.0× 5 1.3× 6 10

Countries citing papers authored by W. Badgett

Since Specialization
Citations

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

Fields of papers citing papers by W. Badgett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Badgett

This figure shows the co-authorship network connecting the top 25 collaborators of W. Badgett. A scholar is included among the top collaborators of W. Badgett 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 W. Badgett. W. Badgett 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.
Badgett, W., U. Behrens, I. Chakaberia, et al.. (2017). The web based monitoring project at the CMS experiment. Journal of Physics Conference Series. 898. 92040–92040.
2.
Badgett, W., et al.. (2012). New Developments in Web Based Monitoring at the CMS Experiment. Journal of Physics Conference Series. 396(6). 62002–62002.
3.
Badgett, W., et al.. (2011). Web based monitoring in the CMS experiment at CERN. Journal of Physics Conference Series. 331(2). 22025–22025. 2 indexed citations
4.
Badgett, W., et al.. (2010). CMS Web-Based Monitoring. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 1 indexed citations
5.
Arcidiacono, R., W. Badgett, U. Berthon, et al.. (2010). The CMS ECAL database services for detector control and monitoring. Journal of Physics Conference Series. 219(2). 22016–22016.
6.
Badgett, W.. (2005). Design, Performance and Control of the CDF Run II Data Acquisition System 2004 IEEE Nuclear Science Symposium. IEEE Symposium Conference Record Nuclear Science 2004.. 2. 1294–1298. 1 indexed citations
7.
Badgett, W., K. Burkett, M. Campbell, et al.. (2003). A neural network calorimeter trigger used in CDF. IEEE Conference on Nuclear Science Symposium and Medical Imaging. 841–843.
8.
Dasu, Sridhara, et al.. (1998). CMS Level-1 Calorimeter Trigger Detailed Simulation. CERN Bulletin.
9.
Badgett, W., et al.. (1998). CMS Calorimeter Level 1 Regional Trigger Conceptual Design. CERN Bulletin. 7 indexed citations
10.
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

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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