M. Husejko

5.7k total citations
10 papers, 24 citations indexed

About

M. Husejko is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, M. Husejko has authored 10 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 7 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 M. Husejko's work include Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (4 papers) and Distributed and Parallel Computing Systems (3 papers). M. Husejko is often cited by papers focused on Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (4 papers) and Distributed and Parallel Computing Systems (3 papers). M. Husejko collaborates with scholars based in Switzerland, Portugal and France. M. Husejko's co-authors include Ambar Jain, P. Paganini, Piotr I. Roszkowski, N. Almeida, M. Gallinaro, K. Późniak, José Carlos da Silva, W. Zabołotny, Ignacy M. Kudła and J. L. Faure and has published in prestigious journals such as Journal of Instrumentation, Journal of Physics Conference Series and CERN Document Server (European Organization for Nuclear Research).

In The Last Decade

M. Husejko

8 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Husejko Switzerland	3	13	10	6	5	3	10	24
K. Buńkowski Poland	4	18 1.4×	7 0.7×	6 1.0×	8 1.6×	2 0.7×	12	25
W. Okliński Poland	4	18 1.4×	7 0.7×	8 1.3×	7 1.4×	1 0.3×	9	28
M. Carletti Italy	3	12 0.9×	7 0.7×	3 0.5×	6 1.2×	3 1.0×	5	17
L. Calligaris Brazil	4	13 1.0×	8 0.8×	6 1.0×	9 1.8×	3 1.0×	6	24
W. Rinaldi Italy	3	9 0.7×	10 1.0×	12 2.0×	7 1.4×	2 0.7×	10	26
M. Matveev United States	4	28 2.2×	6 0.6×	7 1.2×	4 0.8×	4 1.3×	13	35
I. Mikulec Austria	4	26 2.0×	12 1.2×	8 1.3×	4 0.8×		9	34
Hannes Sakulin Austria	4	31 2.4×	12 1.2×	9 1.5×	2 0.4×	2 0.7×	15	36
M. Rama Italy	2	10 0.8×	7 0.7×	6 1.0×	3 0.6×		6	14
D. Hutter Germany	3	9 0.7×	5 0.5×	5 0.8×	5 1.0×		5	18

Countries citing papers authored by M. Husejko

Since Specialization

Citations

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

Fields of papers citing papers by M. Husejko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Husejko. A scholar is included among the top collaborators of M. Husejko 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. Husejko. M. Husejko 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

Husejko, M., et al.. (2015). HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters. Journal of Physics Conference Series. 664(9). 92012–92012. 1 indexed citations

Husejko, M., et al.. (2015). Investigation of High-Level Synthesis tools’ applicability to data acquisition systems design based on the CMS ECAL Data Concentrator Card example. Journal of Physics Conference Series. 664(8). 82019–82019. 3 indexed citations

Husejko, M., et al.. (2014). Self-service for software development projects and HPC activities. Journal of Physics Conference Series. 513(5). 52012–52012. 2 indexed citations

Almeida, N., José Carlos da Silva, M. Husejko, et al.. (2008). Data filtering in the readout of the CMS Electromagnetic Calorimeter. Journal of Instrumentation. 3(2). P02011–P02011. 5 indexed citations

Musella, P., R. Alemany, N. Almeida, et al.. (2007). The CMS Electromagnetic Calorimeter Data Acquisition System at the 2006 Test Beam.. 5. 1–5.

Almeida, N., José Carlos da Silva, M. Husejko, et al.. (2007). Data filtering in the readout of the CMS Electromagnetic Calorimeter. 568. 1–5. 2 indexed citations

Zabołotny, W., et al.. (2005). Wbudowany system komputerowy jako sterownik płyt kontrolno-pomiarowych do sterowania LLRF w akceleratorze. Elektronika : konstrukcje, technologie, zastosowania. 46. 61–64. 5 indexed citations

Husejko, M., Ignacy M. Kudła, K. Późniak, & W. Zabołotny. (2005). Readout system for CMS RPC Muon Trigger. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5775. 121–121. 2 indexed citations

Ćwiok, M., W. Dominik, M. Husejko, et al.. (2004). <title>Search for optical flashes accompanying gamma ray bursts Pi of the Sky collaboration</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 283–289. 2 indexed citations

10.

Varela, J., et al.. (2004). Test results of the Data Concentrator Card of the CMS Electromagnetic Calorimeter Readout System. CERN Document Server (European Organization for Nuclear Research). 2 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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