Ursula Laa

638 total citations
19 papers, 266 citations indexed

About

Ursula Laa is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ursula Laa has authored 19 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 8 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Ursula Laa's work include Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (6 papers) and Data Analysis with R (4 papers). Ursula Laa is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (6 papers) and Data Analysis with R (4 papers). Ursula Laa collaborates with scholars based in Austria, Australia and France. Ursula Laa's co-authors include Sabine Kraml, A. Pukhov, Jonathan Da Silva, G. Bélanger, Daniele Barducci, F. Boudjema, Jérémy Bernon, F. Ambrogi, W. Waltenberger and André Lessa and has published in prestigious journals such as Computer Physics Communications, Journal of High Energy Physics and Geomorphology.

In The Last Decade

Ursula Laa

17 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ursula Laa Austria	7	248	134	40	11	7	19	266
Benjamin R. Ryan United States	7	135 0.5×	261 1.9×	10 0.3×	6 0.5×	5 0.7×	12	307
E. Arganda Spain	12	723 2.9×	91 0.7×	31 0.8×	6 0.5×	2 0.3×	37	730
A. Hoecker Switzerland	4	348 1.4×	141 1.1×	22 0.6×	16 1.5×		5	353
Are Raklev Norway	12	381 1.5×	152 1.1×	29 0.7×	14 1.3×		22	386
Sung Hak Lim United States	5	101 0.4×	40 0.3×	18 0.5×	5 0.5×	3 0.4×	8	133
Debtosh Chowdhury India	11	395 1.6×	169 1.3×	36 0.9×	9 0.8×		20	408
H. Flächer Switzerland	8	414 1.7×	193 1.4×	30 0.8×	4 0.4×		10	418
Sho Iwamoto Japan	12	347 1.4×	133 1.0×	42 1.1×	3 0.3×		18	354
Chan Beom Park South Korea	13	560 2.3×	190 1.4×	39 1.0×	4 0.4×	2 0.3×	23	576
Ilmo Sung United States	9	566 2.3×	69 0.5×	38 0.9×	10 0.9×	3 0.4×	10	583

Countries citing papers authored by Ursula Laa

Since Specialization

Citations

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

Fields of papers citing papers by Ursula Laa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Laa

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

All Works

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19 of 19 papers shown

Fischer, Cornelia, et al.. (2025). Evaluating transdisciplinary methods: a new scale for measuring knowledge integration. Humanities and Social Sciences Communications. 12(1). 1395–1395.

Laa, Ursula, et al.. (2025). Comparing Traditional Methods and Modern Statistical Techniques for Tree Height Prediction. Forests. 16(2). 271–271.

Cook, Dianne, et al.. (2024). cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data. Journal of Statistical Software. 110(7). 2 indexed citations

Laa, Ursula, et al.. (2024). Meteorological factors control debris slides and debris flows in a high-Arctic glacier basin (Ny-Ålesund, Svalbard). Geomorphology. 467. 109492–109492. 1 indexed citations

Cook, Dianne, et al.. (2024). A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data. Journal of Computational and Graphical Statistics. 34(2). 642–653. 1 indexed citations

Laa, Ursula, et al.. (2023). New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions. Journal of Computational and Graphical Statistics. 32(3). 1229–1236. 1 indexed citations

Laa, Ursula, Dianne Cook, Andreas Buja, & G. Valencia. (2022). Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions. Journal of Computational and Graphical Statistics. 31(3). 739–752. 2 indexed citations

Lee, Stuart, et al.. (2021). The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data. Wiley Interdisciplinary Reviews Computational Statistics. 14(4). 2 indexed citations

Cook, Dianne, et al.. (2021). Visual Diagnostics for Constrained Optimisation with Application to Guided Tours. The R Journal. 13(2). 542–542. 2 indexed citations

10.

Capdevila, Bernat, Ursula Laa, & G. Valencia. (2019). Anatomy of a six-parameter fit to the $$b\rightarrow s \ell ^+\ell ^-$$ anomalies. The European Physical Journal C. 79(6). 9 indexed citations

11.

Ambrogi, F., Jan Heisig, Sabine Kraml, et al.. (2019). SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties. Computer Physics Communications. 251. 106848–106848. 43 indexed citations

12.

Kipp, Michael, Ursula Laa, & Dianne Cook. (2019). Connecting R with D3 for dynamic graphics, to explore multivariate data with tours. The R Journal. 11(1). 245–245. 1 indexed citations

13.

Ambrogi, F., Sabine Kraml, Suchita Kulkarni, et al.. (2018). On the coverage of the pMSSM by simplified model results. The European Physical Journal C. 78(3). 215–215. 13 indexed citations

14.

Cook, Dianne, Ursula Laa, & G. Valencia. (2018). Dynamical projections for the visualization of PDFSense data. The European Physical Journal C. 78(9). 4 indexed citations

15.

Ambrogi, F., Sabine Kraml, Suchita Kulkarni, et al.. (2018). SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps. Computer Physics Communications. 227. 72–98. 42 indexed citations

16.

Laa, Ursula. (2017). On the Coverage of the pMSSM by Simplified Model Results. 300–300. 2 indexed citations

17.

Barducci, Daniele, G. Bélanger, Jérémy Bernon, et al.. (2017). Collider limits on new physics within micrOMEGAs_4.3. Computer Physics Communications. 222. 327–338. 102 indexed citations

18.

Kraml, Sabine, et al.. (2017). Simplified dark matter models with a spin-2 mediator at the LHC. The European Physical Journal C. 77(5). 23 indexed citations

19.

Bélanger, G., Jonathan Da Silva, Ursula Laa, & A. Pukhov. (2015). Probing U(1) extensions of the MSSM at the LHC Run I and in dark matter searches. Journal of High Energy Physics. 2015(9). 16 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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