Beate Ehrhardt

958 total citations
9 papers, 136 citations indexed

About

Beate Ehrhardt is a scholar working on Surgery, Pharmacology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Beate Ehrhardt has authored 9 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Pharmacology and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Beate Ehrhardt's work include Hip and Femur Fractures (3 papers), Pain Management and Opioid Use (2 papers) and 3D Printing in Biomedical Research (2 papers). Beate Ehrhardt is often cited by papers focused on Hip and Femur Fractures (3 papers), Pain Management and Opioid Use (2 papers) and 3D Printing in Biomedical Research (2 papers). Beate Ehrhardt collaborates with scholars based in United Kingdom, Finland and United States. Beate Ehrhardt's co-authors include Gauri Kulkarni, Geraldine A. Hamilton, Janey Ronxhi, S Peel, Adam Corrigan, Lorna Ewart, Michael R. Whitehouse, Konstantia Kodella, Kyung‐Jin Jang and Debora B. Petropolis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Beate Ehrhardt

8 papers receiving 128 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beate Ehrhardt United Kingdom	5	80	39	19	18	15	9	136
Kaushik P. Venkatesh United States	7	26 0.3×	16 0.4×	7 0.4×	12 0.7×	4 0.3×	14	112
Gideon Ho Singapore	7	17 0.2×	15 0.4×	19 1.0×	1 0.1×	9 0.6×	15	91
Bärbel Klauke Germany	9	16 0.2×	31 0.8×	101 5.3×		8 0.5×	9	267
Alisa T. Thavikulwat United States	9	28 0.3×	8 0.2×	26 1.4×	9 0.5×	15 1.0×	30	208
Maxime Blain France	5	23 0.3×	27 0.7×	4 0.2×	12 0.7×	7 0.5×	12	124
Ramón Moreno‐Luna Spain	10	19 0.2×	100 2.6×	17 0.9×	2 0.1×	8 0.5×	37	228
Abbas Habibalahi Australia	10	46 0.6×	9 0.2×	38 2.0×	1 0.1×	11 0.7×	23	233
Ezequiel de la Rosa Germany	6	36 0.5×	6 0.2×	6 0.3×	5 0.3×	18 1.2×	10	125
Mutali Musa Nigeria	9	20 0.3×	12 0.3×	47 2.5×	5 0.3×	28 1.9×	54	253
Gabriel Balaban Norway	11	44 0.6×	28 0.7×	15 0.8×	1 0.1×	9 0.6×	18	212

Countries citing papers authored by Beate Ehrhardt

Since Specialization

Citations

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

Fields of papers citing papers by Beate Ehrhardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beate Ehrhardt

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Paepe, Annick De, Beate Ehrhardt, Matthew A. Nunes, et al.. (2025). Building causal models in pain research: the case of executive functioning and transitions in pain states. Pain. 167(2). 414–427. 1 indexed citations

2.

Ly, Amanda, Matthew A. Nunes, Edmund Keogh, et al.. (2024). How Well Can We Measure Chronic Pain Impact in Existing Longitudinal Cohort Studies? Lessons Learned. Journal of Pain. 26. 104679–104679.

3.

Ehrhardt, Beate, et al.. (2023). Data-driven digital health technologies in the remote clinical care of diabetic foot ulcers: a scoping review. SHILAP Revista de lepidopterología. 4. 1212182–1212182. 3 indexed citations

4.

Ehrhardt, Beate, Celia L. Gregson, April Hartley, et al.. (2022). Machine learning outperforms clinical experts in classification of hip fractures. Scientific Reports. 12(1). 2058–2058. 30 indexed citations

5.

Peel, S, Adam Corrigan, Beate Ehrhardt, et al.. (2019). Introducing an automated high content confocal imaging approach for Organs-on-Chips. Lab on a Chip. 19(3). 410–421. 73 indexed citations

6.

Fletcher, James, Beate Ehrhardt, Alisdair MacLeod, et al.. (2019). Non-locking screw insertion: No benefit seen if tightness exceeds 80% of the maximum torque. Clinical Biomechanics. 70. 40–45. 11 indexed citations

7.

Ehrhardt, Beate, et al.. (2019). An innovative non-invasive technique for subcutaneous tumour measurements. PLoS ONE. 14(10). e0216690–e0216690. 13 indexed citations

8.

Ehrhardt, Beate & Patrick J. Wolfe. (2019). Network Modularity in the Presence of Covariates. SIAM Review. 61(2). 261–276. 4 indexed citations

9.

Fletcher, James, Beate Ehrhardt, Alisdair MacLeod, et al.. (2019). Dataset for "Non-locking screw insertion: no benefit seen if tightness exceeds 80% of the maximum torque". Explore Bristol Research. 1 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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