Calum Strange

543 total citations · 1 hit paper
7 papers, 403 citations indexed

About

Calum Strange is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, Calum Strange has authored 7 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 6 papers in Electrical and Electronic Engineering and 1 paper in Numerical Analysis. Recurrent topics in Calum Strange's work include Advancements in Battery Materials (6 papers), Advanced Battery Technologies Research (6 papers) and Advanced Battery Materials and Technologies (3 papers). Calum Strange is often cited by papers focused on Advancements in Battery Materials (6 papers), Advanced Battery Technologies Research (6 papers) and Advanced Battery Materials and Technologies (3 papers). Calum Strange collaborates with scholars based in United Kingdom, India and Germany. Calum Strange's co-authors include Gonçalo dos Reis, Xiang Li, Rasheed Ibraheem, R. Gilchrist, Michael Allerhand, Philipp Dechent and James Foster and has published in prestigious journals such as Journal of Power Sources, SIAM Journal on Numerical Analysis and Energies.

In The Last Decade

Calum Strange

7 papers receiving 373 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lithium-ion battery data and where to find it

2021 256 citations Gonçalo dos Reis, Calum Strange et al. Energy and AI profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Calum Strange United Kingdom	6	379	337	77	62	18	7	403
Antti Aitio United Kingdom	3	334 0.9×	301 0.9×	40 0.5×	50 0.8×	22 1.2×	7	354
Qiaohua Fang China	7	483 1.3×	465 1.4×	45 0.6×	72 1.2×	26 1.4×	11	516
Samuel Greenbank United Kingdom	5	453 1.2×	421 1.2×	86 1.1×	66 1.1×	11 0.6×	6	484
Haicheng Xie China	10	252 0.7×	238 0.7×	39 0.5×	51 0.8×	16 0.9×	17	297
Hongao Liu China	8	350 0.9×	266 0.8×	51 0.7×	93 1.5×	5 0.3×	11	362
Xianbin Yang China	10	249 0.7×	229 0.7×	41 0.5×	61 1.0×	19 1.1×	11	293
Verena Klass Sweden	7	548 1.4×	483 1.4×	80 1.0×	122 2.0×	14 0.8×	12	574
Bruis van Vlijmen United States	3	245 0.6×	227 0.7×	36 0.5×	50 0.8×	20 1.1×	5	287
Jiaxi Qiang China	8	501 1.3×	449 1.3×	40 0.5×	115 1.9×	17 0.9×	15	533

Countries citing papers authored by Calum Strange

Since Specialization

Citations

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

Fields of papers citing papers by Calum Strange

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calum Strange

This figure shows the co-authorship network connecting the top 25 collaborators of Calum Strange. A scholar is included among the top collaborators of Calum Strange 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 Calum Strange. Calum Strange 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:

7 of 7 papers shown

1.

Foster, James, Gonçalo dos Reis, & Calum Strange. (2024). High Order Splitting Methods for SDEs Satisfying a Commutativity Condition. SIAM Journal on Numerical Analysis. 62(1). 500–532. 1 indexed citations

2.

Strange, Calum, Rasheed Ibraheem, & Gonçalo dos Reis. (2023). Online Lifetime Prediction for Lithium-Ion Batteries with Cycle-by-Cycle Updates, Variance Reduction, and Model Ensembling. Energies. 16(7). 3273–3273. 9 indexed citations

3.

Ibraheem, Rasheed, Calum Strange, & Gonçalo dos Reis. (2022). Capacity and Internal Resistance of lithium-ion batteries: Full degradation curve prediction from Voltage response at constant Current at discharge. Journal of Power Sources. 556. 232477–232477. 43 indexed citations

4.

Strange, Calum, Michael Allerhand, Philipp Dechent, & Gonçalo dos Reis. (2022). Automatic method for the estimation of li-ion degradation test sample sizes required to understand cell-to-cell variability. Energy and AI. 9. 100174–100174. 6 indexed citations

5.

Strange, Calum & Gonçalo dos Reis. (2021). Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data. Energy and AI. 5. 100097–100097. 64 indexed citations

6.

Reis, Gonçalo dos, et al.. (2021). Lithium-ion battery data and where to find it. Energy and AI. 5. 100081–100081. 256 indexed citations breakdown →

7.

Strange, Calum, Xiang Li, R. Gilchrist, & Gonçalo dos Reis. (2021). Elbows of Internal Resistance Rise Curves in Li-Ion Cells. Energies. 14(4). 1206–1206. 24 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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