L. Lechner
Impact in
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- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
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- Knowledge Management and Sharing
Papers in ⓘ
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- Advanced Malware Detection Techniques 1
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- Particle physics theoretical and experimental studies 3
- High-Energy Particle Collisions Research 2
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- Stefan Fenz (1 shared paper)M. Ackermann (1 shared paper)Walter Winter (1 shared paper)M. Kowalski (1 shared paper)S. Chatterjee (2 shared papers)D. Schwarz (1 shared paper)R. Schöfbeck (2 shared papers)Thomas Grechenig (1 shared paper)
- Journals
- Physical review. D (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Computer Physics Communications (1 paper)Clinical Neurophysiology Practice (1 paper)Lume (Universidade Federal do Rio Grande do Sul) (1 paper)
In The Last Decade
L. Lechner
7 papers receiving 95 citations
Peers
Comparison fields: 5 of 44
- Nuclear and High Energy Physics 48
- Communication 10
- Information Systems 29
- Information Systems and Management 7
- Developmental and Educational Psychology 9
Countries citing papers authored by L. Lechner
This map shows the geographic impact of L. Lechner'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 L. Lechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Lechner more than expected).
Fields of papers citing papers by L. Lechner
This network shows the impact of papers produced by L. Lechner. 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 L. Lechner. The network helps show where L. Lechner may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Lechner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 33 | |
| 2 | 2017 | 30 | |
| 3 | 2022 | 13 | |
| 4 | 2017 | 12 | |
| 5 | Search for a vector-like quark T' → tH via the diphoton decay mode of the Higgs boson in proton-proton collisions at √s = 13 TeV | 2023 | 7 |
| 6 | 2020 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About L. Lechner
L. Lechner is a scholar working on Signal Processing, Nuclear and High Energy Physics, Cognitive Neuroscience, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 99 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), High-Energy Particle Collisions Research (2 papers), Dark Matter and Cosmic Phenomena (1 paper), ECG Monitoring and Analysis (1 paper), Spam and Phishing Detection (1 paper), Advanced Electrical Measurement Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (48 citations), Communication (10 citations), Information Systems (29 citations), Information Systems and Management (7 citations) and Developmental and Educational Psychology (9 citations). L. Lechner has collaborated with scholars based in Austria, Germany and Armenia. Frequent co-authors include Stefan Fenz, M. Ackermann, Walter Winter, M. Kowalski, S. Chatterjee, D. Schwarz, R. Schöfbeck, Thomas Grechenig, Axel Maas and Simon Plätzer. Their work appears in journals such as Physical review. D, Frontiers in Cellular and Infection Microbiology, Computer Physics Communications, Clinical Neurophysiology Practice and Lume (Universidade Federal do Rio Grande do Sul).
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.