N. Lehmann

5.2k total citations
21 papers, 339 citations indexed

About

N. Lehmann is a scholar working on Ecology, Evolution, Behavior and Systematics, Nuclear and High Energy Physics and Radiation. According to data from OpenAlex, N. Lehmann has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Nuclear and High Energy Physics and 6 papers in Radiation. Recurrent topics in N. Lehmann's work include Particle Detector Development and Performance (7 papers), Climate change impacts on agriculture (7 papers) and Radiation Detection and Scintillator Technologies (6 papers). N. Lehmann is often cited by papers focused on Particle Detector Development and Performance (7 papers), Climate change impacts on agriculture (7 papers) and Radiation Detection and Scintillator Technologies (6 papers). N. Lehmann collaborates with scholars based in Switzerland, Netherlands and Germany. N. Lehmann's co-authors include Robert Finger, Tommy Klein, Pierluigi Calanca, Achim Walter, Simon Briner, Jürg Fuhrer, Annelie Holzkämper, Andreas Roesch, Luca Piazza and Clemens Schulze‐Briese and has published in prestigious journals such as Land Use Policy, Environmental Modelling & Software and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

N. Lehmann

19 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Lehmann Switzerland 9 131 110 81 80 53 21 339
Holly Dolan Canada 3 131 1.0× 210 1.9× 70 0.9× 124 1.6× 48 0.9× 4 340
Sisi Meng United States 7 57 0.4× 68 0.6× 62 0.8× 72 0.9× 57 1.1× 25 313
Nitin Chauhan India 6 95 0.7× 171 1.6× 113 1.4× 37 0.5× 84 1.6× 10 275
K. Kareemulla India 9 60 0.5× 69 0.6× 42 0.5× 74 0.9× 53 1.0× 27 279
Rachel E. Schattman United States 10 50 0.4× 90 0.8× 77 1.0× 69 0.9× 59 1.1× 34 297
Thomas R. R. Johnston United States 3 86 0.7× 180 1.6× 51 0.6× 66 0.8× 66 1.2× 5 273
R. Hassan South Africa 7 75 0.6× 75 0.7× 38 0.5× 47 0.6× 59 1.1× 18 261
R. A. Nelson Australia 9 68 0.5× 90 0.8× 59 0.7× 59 0.7× 74 1.4× 19 283
J. G. Phillips United States 5 92 0.7× 236 2.1× 81 1.0× 59 0.7× 186 3.5× 6 383
David Kreuer Germany 6 74 0.6× 70 0.6× 23 0.3× 45 0.6× 71 1.3× 6 232

Countries citing papers authored by N. Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by N. Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Lehmann

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

All Works

20 of 20 papers shown
1.
Zambon, P., J. Va’vra, C. Hörmann, et al.. (2023). High-frame rate and high-count rate hybrid pixel detector for 4D STEM applications. Frontiers in Physics. 11. 6 indexed citations
2.
Zambon, P., D. Boye, N. Lehmann, et al.. (2022). KITE: High frame rate, high count rate pixelated electron counting ASIC for 4D STEM applications featuring high-Z sensor. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1048. 167888–167888. 17 indexed citations
3.
Kind, Peter C., et al.. (2020). A CANopen based prototype chip for the Detector Control System of the ATLAS ITk Pixel Detector. CERN Document Server (European Organization for Nuclear Research). 13–13. 3 indexed citations
4.
Lehmann, N., et al.. (2019). Control and Monitoring for a serially powered pixel demonstrator for the ATLAS Phase II upgrade. CERN Document Server (European Organization for Nuclear Research). 133–133. 2 indexed citations
5.
Lehmann, N., et al.. (2018). Prototype Chip for a Control System in a Serial Powered Pixel Detector at the ATLAS Phase II Upgrade. CERN Document Server (European Organization for Nuclear Research). 26–26. 2 indexed citations
6.
Филимонов, В. Н., L. Gonella, F. Huegging, et al.. (2017). A serial powering pixel stave prototype for the ATLAS ITk upgrade. Journal of Instrumentation. 12(3). C03045–C03045. 4 indexed citations
7.
Lehmann, N., M. Karagounis, B. P. Kerševan, & C. Zeitnitz. (2016). Development of a Detector Control System for the ATLAS Pixel detector in the HL-LHC. Journal of Instrumentation. 11(11). C11004–C11004. 3 indexed citations
8.
Lehmann, N., A. Blue, Sergio Cañas Díez, et al.. (2015). Real time tracker based upon local hit correlation circuit for silicon strip sensors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 806. 21–29.
9.
Briner, Simon, N. Lehmann, & Robert Finger. (2014). Bio-economic modelling of decisions under yield and price risk for suckler cow farms. Animal Production Science. 55(1). 64–73. 5 indexed citations
10.
Cornell, S. Díez, et al.. (2014). Development of a Fast Cluster Finding self-seeded trigger demonstrator. Journal of Instrumentation. 9(12). C12022–C12022. 1 indexed citations
11.
Lehmann, N., Simon Briner, & Robert Finger. (2013). The impact of climate and price risks on agricultural land use and crop management decisions. Land Use Policy. 35. 119–130. 50 indexed citations
12.
Lehmann, N. & Robert Finger. (2013). EVALUATING WATER POLICY OPTIONS IN AGRICULTURE: A WHOLE‐FARM STUDY FOR THE BROYE RIVER BASIN (SWITZERLAND). Irrigation and Drainage. 62(4). 396–406. 10 indexed citations
13.
Lehmann, N. & Robert Finger. (2013). Economic and environmental assessment of irrigation water policies: A bioeconomic simulation study. Environmental Modelling & Software. 51. 112–122. 15 indexed citations
14.
Fuhrer, Jürg, et al.. (2013). Water demand in Swiss agriculture - sustainable adaptive options for land and water management to mitigate impacts of climate change.. 2 indexed citations
15.
Finger, Robert & N. Lehmann. (2012). Policy reforms to promote efficient and sustainable water use in Swiss agriculture. Water Policy. 14(5). 887–901. 5 indexed citations
16.
Finger, Robert & N. Lehmann. (2012). Modeling the sensitivity of outdoor recreation activities to climate change. Climate Research. 51(3). 229–236. 26 indexed citations
17.
Finger, Robert & N. Lehmann. (2012). The influence of direct payments on farmers’ hail insurance decisions. Agricultural Economics. 43(3). 343–354. 59 indexed citations
18.
Lehmann, N. & Robert Finger. (2012). Adapting towards climate change: A whole-farm approach. Socio-Environmental Systems Modeling. 1 indexed citations
19.
Klein, Tommy, Pierluigi Calanca, Annelie Holzkämper, et al.. (2012). Using farm accountancy data to calibrate a crop model for climate impact studies. Agricultural Systems. 111. 23–33. 19 indexed citations
20.
Lehmann, N.. (2011). Regional crop modeling : how future climate may impact crop yields in Switzerland. RePEc: Research Papers in Economics. 4(1). 269–291. 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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