S. Stracka

33.5k total citations
10 papers, 31 citations indexed

About

S. Stracka is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Biophysics. According to data from OpenAlex, S. Stracka has authored 10 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Nuclear and High Energy Physics and 4 papers in Biophysics. Recurrent topics in S. Stracka's work include CCD and CMOS Imaging Sensors (6 papers), Particle Detector Development and Performance (5 papers) and Cell Image Analysis Techniques (4 papers). S. Stracka is often cited by papers focused on CCD and CMOS Imaging Sensors (6 papers), Particle Detector Development and Performance (5 papers) and Cell Image Analysis Techniques (4 papers). S. Stracka collaborates with scholars based in Italy, United States and Switzerland. S. Stracka's co-authors include D. Tonelli, J. Walsh, F. Spinella, G. Punzi, M. J. Morello, F. Bedeschi, P. Marino, L. Ristori, R. Cenci and F. Caponio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Instrumentation.

In The Last Decade

S. Stracka

6 papers receiving 30 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Stracka Italy	4	20	18	7	7	6	10	31
P. Marino Italy	4	20 1.0×	18 1.0×	7 1.0×	7 1.0×	6 1.0×	14	35
D. Tonelli Italy	5	19 0.9×	22 1.2×	7 1.0×	7 1.0×	3 0.5×	8	35
D. Ninci Italy	2	13 0.7×	11 0.6×	5 0.7×	4 0.6×	3 0.5×	6	19
L. Ristori Italy	5	15 0.8×	27 1.5×	13 1.9×	4 0.6×	2 0.3×	15	44
A. Piucci Italy	3	13 0.7×	9 0.5×	4 0.6×	4 0.6×	1 0.2×	6	19
P. J. Windischhofer Switzerland	5	19 0.9×	13 0.7×	3 0.4×	8 1.1×	5 0.8×	11	37
Jia Huo China	4	16 0.8×	19 1.1×	8 1.1×	2 0.3×	2 0.3×	13	35
Y. Sakamoto Japan	5	9 0.5×	44 2.4×	6 0.9×	3 0.4×	4 0.7×	13	68
M. Baszczyk Poland	5	14 0.7×	21 1.2×	30 4.3×	2 0.3×	11 1.8×	17	56
H. Chanal France	4	17 0.8×	10 0.6×	15 2.1×	2 0.3×	6 1.0×	11	31

Countries citing papers authored by S. Stracka

Since Specialization

Citations

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

Fields of papers citing papers by S. Stracka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Stracka

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Cenci, R., F. Lazzari, P. Marino, et al.. (2018). Performance of a high-throughput tracking processor implemented on Stratix-V FPGA. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 344–345.

2.

Cenci, R., F. Lazzari, P. Marino, et al.. (2018). Development of a High-Throughput Tracking Processor on FPGA Boards. Scuola Normale Superiore di Pisa. 136–136. 3 indexed citations

3.

Bedeschi, F., R. Cenci, P. Marino, et al.. (2017). An artificial retina processor for track reconstruction at the LHC crossing rate. Journal of Physics Conference Series. 898. 32038–32038.

4.

Abba, A., F. Bedeschi, M. Citterio, et al.. (2016). The artificial retina for track reconstruction at the LHC crossing rate. Nuclear and Particle Physics Proceedings. 273-275. 2488–2490.

5.

Bedeschi, F., R. Cenci, P. Marino, et al.. (2016). First results of an "artificial retina" processor prototype. Springer Link (Chiba Institute of Technology). 7. 1–4. 1 indexed citations

6.

Cenci, R., F. Bedeschi, P. Marino, et al.. (2016). First Results of an “Artificial Retina” Processor Prototype. SHILAP Revista de lepidopterología. 127. 5–5. 7 indexed citations

7.

Abba, A., F. Bedeschi, M. Citterio, et al.. (2015). Simulation and performance of an artificial retina for 40 MHz track reconstruction. Journal of Instrumentation. 10(3). C03008–C03008. 5 indexed citations

8.

Abba, A., F. Bedeschi, M. Citterio, et al.. (2015). The artificial retina processor for track reconstruction at the LHC crossing rate. Journal of Instrumentation. 10(3). C03018–C03018. 6 indexed citations

9.

Stracka, S.. (2014). Real-time Detection of Antihydrogen Annihilations and Applications to Spectroscopy. SHILAP Revista de lepidopterología. 71. 126–126.

10.

Abba, A., G. Punzi, F. Spinella, et al.. (2014). A specialized track processor for the LHCb upgrade. CERN Bulletin. 9 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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