P. J. Konopka

7.2k total citations
10 papers, 34 citations indexed

About

P. J. Konopka is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Radiation. According to data from OpenAlex, P. J. Konopka has authored 10 papers receiving a total of 34 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 2 papers in Radiation. Recurrent topics in P. J. Konopka's work include Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (3 papers) and Advanced Data Storage Technologies (3 papers). P. J. Konopka is often cited by papers focused on Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (3 papers) and Advanced Data Storage Technologies (3 papers). P. J. Konopka collaborates with scholars based in Switzerland, Poland and Slovakia. P. J. Konopka's co-authors include B. von Haller, G. Eulisse, M. Richter, S. C. Wenzel, Mikolaj Krzewicki, D. Røhr, J. Bielecki, A. Dobrotka, H. Negoro and D. Korytár and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Crystallography and Journal of Instrumentation.

In The Last Decade

P. J. Konopka

8 papers receiving 34 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. J. Konopka Switzerland	5	15	13	9	6	4	10	34
W. Ehrenfeld Germany	4	12 0.8×	25 1.9×	4 0.4×	5 0.8×	3 0.8×	8	32
K. Herner United States	4	10 0.7×	19 1.5×	6 0.7×	4 0.7×	7 1.8×	20	35
J. Salt Spain	4	25 1.7×	19 1.5×	6 0.7×	11 1.8×		17	38
D. Giordano Italy	4	12 0.8×	11 0.8×	5 0.6×	9 1.5×	1 0.3×	15	28
R. Trentadue Switzerland	4	14 0.9×	18 1.4×	13 1.4×	5 0.8×		7	27
M. Duranti Italy	4	12 0.8×	19 1.5×	2 0.2×	3 0.5×	6 1.5×	14	30
R.A. Sansum United Kingdom	2	15 1.0×	24 1.8×	5 0.6×	6 1.0×	2 0.5×	2	34
A. Tykhonov Switzerland	5	12 0.8×	49 3.8×	8 0.9×	6 1.0×	7 1.8×	20	61
S. Schlenker Switzerland	3	15 1.0×	30 2.3×	9 1.0×	2 0.3×	9 2.3×	8	42
J. G. Panduro Vazquez United Kingdom	4	22 1.5×	23 1.8×	5 0.6×	4 0.7×		7	30

Countries citing papers authored by P. J. Konopka

Since Specialization

Citations

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

Fields of papers citing papers by P. J. Konopka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. J. Konopka

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

All Works

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10 of 10 papers shown

1.

Konopka, P. J. & Paweł Rzucidło. (2025). The Concept of an Early Warning System for Supporting Air Traffic Control. Aerospace. 12(4). 288–288.

2.

Barroso, V. Chibante, S. Chapeland, Filippo Costa, et al.. (2024). The new ALICE data acquisition system (O²/FLP) for LHC Run 3. SHILAP Revista de lepidopterología. 295. 2029–2029. 2 indexed citations

3.

Haller, B. von & P. J. Konopka. (2024). The ALICE Data Quality Control. SHILAP Revista de lepidopterología. 295. 2026–2026.

4.

Konopka, P. J. & B. von Haller. (2023). Exploring data merging methods for a distributed processing system. Journal of Physics Conference Series. 2438(1). 12038–12038. 1 indexed citations

5.

Dobrotka, A., H. Negoro, & P. J. Konopka. (2020). Alternation of the flickering morphology between the high and low state in MV Lyrae. Springer Link (Chiba Institute of Technology). 4 indexed citations

6.

Konopka, P. J. & B. von Haller. (2020). The ALICE O²data quality control system. SHILAP Revista de lepidopterología. 245. 1027–1027. 5 indexed citations

7.

Eulisse, G., P. J. Konopka, Mikolaj Krzewicki, et al.. (2019). Evolution of the ALICE Software Framework for Run 3. SHILAP Revista de lepidopterología. 214. 5010–5010. 12 indexed citations

8.

Khan, Imran Ahmed, et al.. (2014). Enhancement of remotely controlled laboratory for Active Noise Control and acoustic experiments. 285–290. 2 indexed citations

9.

Korytár, D., et al.. (2012). Phase contrast imaging of lightweight objects using microfocus X-ray source and high resolution CCD camera. Journal of Instrumentation. 7(3). C03005–C03005. 4 indexed citations

10.

Korytár, D., C. Ferrari, Robert Mikulík, et al.. (2009). Linearly graded GeSi beam-expanding/compressing X-ray monochromator. Journal of Applied Crystallography. 43(1). 176–178. 4 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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