J.A. Perlas

6.7k total citations
9 papers, 42 citations indexed

About

J.A. Perlas is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, J.A. Perlas has authored 9 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 4 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 J.A. Perlas's work include Particle Detector Development and Performance (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). J.A. Perlas is often cited by papers focused on Particle Detector Development and Performance (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). J.A. Perlas collaborates with scholars based in Spain, United States and Switzerland. J.A. Perlas's co-authors include J. Bordas, Sai Zhou, Prashanth Prabhu, E. Fernández, H.C. Tong, Qunwen Leng, Ll. Garrido, M. Martı́nez, Chen Qian and M. Mao and has published in prestigious journals such as IEEE Transactions on Magnetics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.

In The Last Decade

J.A. Perlas

8 papers receiving 32 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Perlas Spain 3 21 20 9 9 7 9 42
A. N. Dovbnya Ukraine 4 17 0.8× 19 0.9× 5 0.6× 3 0.3× 9 1.3× 30 57
T. Maruyama Japan 5 11 0.5× 30 1.5× 12 1.3× 4 0.4× 15 2.1× 20 72
E. Antokhin Russia 4 16 0.8× 30 1.5× 4 0.4× 11 1.2× 2 0.3× 11 54
D. Rakoczy Austria 5 51 2.4× 39 1.9× 3 0.3× 8 0.9× 4 0.6× 14 68
D. Esperante Pereira Spain 5 27 1.3× 45 2.3× 3 0.3× 11 1.2× 2 0.3× 22 66
M. Lipinski Germany 5 32 1.5× 32 1.6× 3 0.3× 19 2.1× 8 1.1× 17 56
Z.H. Li China 6 13 0.6× 33 1.6× 6 0.7× 17 1.9× 15 2.1× 7 72
Michele Piero Blago United Kingdom 2 21 1.0× 17 0.8× 14 1.6× 4 0.4× 4 0.6× 3 41
C. T. Potter United States 4 16 0.8× 29 1.4× 4 0.4× 13 1.4× 2 0.3× 8 49
M. Aleksa Switzerland 5 6 0.3× 16 0.8× 8 0.9× 8 0.9× 28 4.0× 9 50

Countries citing papers authored by J.A. Perlas

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Perlas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Perlas. 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 J.A. Perlas. The network helps show where J.A. Perlas may publish in the future.

Co-authorship network of co-authors of J.A. Perlas

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

All Works

9 of 9 papers shown
1.
Perlas, J.A., et al.. (2002). A new finite-state machine queuing tool for the "EPICS" control system toolkit. IEEE Transactions on Nuclear Science. 49(2). 460–464. 2 indexed citations
2.
Bordas, J., et al.. (2001). An instrument for precision magnetic measurements of large magnetic structures. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 459(1-2). 285–294. 9 indexed citations
3.
Perlas, J.A., et al.. (1999). DESIGN AND IMPLEMENTATION OF A FINITE STATE MACHINE QUEUING TOOL FOR EPICS. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
4.
Tong, H.C., Chen Qian, Robert C. Barr, et al.. (1999). Greater than 14 Gb/in/sup 2/ spin valve heads. IEEE Transactions on Magnetics. 35(5). 2574–2579. 21 indexed citations
5.
Perlas, J.A., et al.. (1996). FIRST APPROACH TO THE CONTROL SYSTEM FOR THE LSB. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
6.
Perlas, J.A., J. Harvey, B. Jost, & P. Mató. (1994). The new implementation of the event building protocol for the ALEPH data acquisition system. IEEE Transactions on Nuclear Science. 41(1). 236–238.
7.
Alemany, R., E. Fernández, M. Martı́nez, et al.. (1993). Data acquisition system and results for the ALEPH very forward luminosity monitor at LEP. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 330(3). 422–433. 2 indexed citations
8.
Fernández, E., et al.. (1990). A very forward luminosity monitor for the ALEPH detector at LEP. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 297(1-2). 153–162. 3 indexed citations
9.
Perlas, J.A., et al.. (1989). The use of silicon strips in a small angle luminosity monitor. CERN Document Server (European Organization for Nuclear Research). 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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