M. Flechl

96.9k total citations
13 papers, 95 citations indexed

About

M. Flechl is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. Flechl has authored 13 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 4 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in M. Flechl's work include Particle physics theoretical and experimental studies (11 papers), High-Energy Particle Collisions Research (6 papers) and Distributed and Parallel Computing Systems (4 papers). M. Flechl is often cited by papers focused on Particle physics theoretical and experimental studies (11 papers), High-Energy Particle Collisions Research (6 papers) and Distributed and Parallel Computing Systems (4 papers). M. Flechl collaborates with scholars based in Austria, Sweden and Switzerland. M. Flechl's co-authors include Michael Spira, Michael Krämer, Maria Ubiali, Laurence Field, T. Matsushita, E. Asilar, D. Liko, Shouchun Yin, T. Bergauer and A. Tumasyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Physical review. D. Particles, fields, gravitation, and cosmology.

In The Last Decade

M. Flechl

10 papers receiving 89 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Flechl Austria	5	82	18	9	7	6	13	95
S. Pagan Griso United States	3	48 0.6×	13 0.7×	10 1.1×	3 0.4×	4 0.7×	13	60
M. Ballintijn Switzerland	3	131 1.6×	15 0.8×	16 1.8×	4 0.6×	5 0.8×	5	143
J. V. Santen United States	6	72 0.9×	25 1.4×	9 1.0×	9 1.3×	2 0.3×	14	90
Matthias Wolf United States	3	42 0.5×	20 1.1×	6 0.7×	4 0.6×	13 2.2×	6	56
D. R. Claes United States	6	70 0.9×	17 0.9×	9 1.0×	3 0.4×	7 1.2×	13	87
S. Rappoccio United States	4	45 0.5×	8 0.4×	7 0.8×	4 0.6×	11 1.8×	6	54
Vito Conforti Italy	5	49 0.6×	22 1.2×	11 1.2×	2 0.3×	5 0.8×	26	59
A. Tripathee United States	3	80 1.0×	5 0.3×	10 1.1×	6 0.9×	5 0.8×	4	86
J. A. Frost United Kingdom	4	74 0.9×	11 0.6×	6 0.7×	2 0.3×	8 1.3×	9	86
M. Füßling Germany	4	37 0.5×	34 1.9×	4 0.4×	5 0.7×	6 1.0×	18	52

Countries citing papers authored by M. Flechl

Since Specialization

Citations

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

Fields of papers citing papers by M. Flechl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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13 of 13 papers shown

1.

Flechl, M., et al.. (2022). End-to-end speech recognition modeling from de-identified data. Interspeech 2022. 1382–1386. 4 indexed citations

2.

Sirunyan, Albert M., A. Tumasyan, W. Adam, et al.. (2020). Measurements of production cross sections of WZ and same-sign WW boson pairs in association with two jets in proton-proton collisions at √s = 13 TeV. Repository KITopen (Karlsruhe Institute of Technology). 5 indexed citations

3.

Flechl, M.. (2019). Summary of recent progress in searches foradditional Higgs bosons. 30–30. 2 indexed citations

4.

Tumasyan, A., W. Adam, E. Asilar, et al.. (2017). Study of Jet Quenching with $ℤ+jet$ Correlations in Pb-Pb and pp Collisions at $\sqrt{s_{NN}} = 5.02$ TeV. Zurich Open Repository and Archive (University of Zurich). 24 indexed citations

5.

Flechl, M.. (2015). Higgs physics: Review of recent results and prospects from ATLAS and CMS. Journal of Physics Conference Series. 631. 12028–12028. 10 indexed citations

6.

Flechl, M., et al.. (2015). Improved cross-section predictions for heavy charged Higgs boson production at the LHC. Physical review. D. Particles, fields, gravitation, and cosmology. 91(7). 29 indexed citations

7.

Flechl, M.. (2013). BSM Higgs results from ATLAS and CMS. SHILAP Revista de lepidopterología. 60. 2005–2005. 4 indexed citations

8.

Flechl, M.. (2012). Search for MSSM neutral and charged Higgs in ATLAS. CERN Document Server (European Organization for Nuclear Research). 243–243. 1 indexed citations

9.

Flechl, M.. (2010). Looking for the Charged Higgs Boson : Simulation Studies for the ATLAS Experiment. CERN Bulletin. 1 indexed citations

10.

Isaksson, C., et al.. (2009). Embedding Technique for the ttbar Background Estimation in Charged Higgs Boson Searches.

11.

Flechl, M.. (2009). Charged Higgs prospects with ATLAS. 6–6. 3 indexed citations

12.

Flechl, M. & Laurence Field. (2008). Grid interoperability: joining grid information systems. Journal of Physics Conference Series. 119(6). 62030–62030. 9 indexed citations

13.

Mohn, B., M. Flechl, & Johan Alwall. (2007). ATLAS Discovery Potential for the Charged Higgs Boson in H ! Decays. 3 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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