Rachel McCrindle

97 total papers · 486 total citations
50 papers, 307 citations indexed

About

Rachel McCrindle is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Rachel McCrindle has authored 50 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Rachel McCrindle's work include Context-Aware Activity Recognition Systems (6 papers), Assistive Technology in Communication and Mobility (6 papers) and Online and Blended Learning (4 papers). Rachel McCrindle is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), Assistive Technology in Communication and Mobility (6 papers) and Online and Blended Learning (4 papers). Rachel McCrindle collaborates with scholars based in United Kingdom, Saudi Arabia and Austria. Rachel McCrindle's co-authors include Parastou Donyai, R. Simon Sherratt, Terence Hui, Douglas K. Symons, Veronika Williams, Christina Victor, Jiang Lai, Runming Yao, Andrew A. Adams and Paul Sharkey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.

In The Last Decade

Rachel McCrindle

47 papers receiving 280 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rachel McCrindle	57	52	40	38	35	50	307
Pablo Torres-Carrión	22 0.4×	28 0.5×	29 0.7×	66 1.7×	10 0.3×	29	339
Fernando Ribeiro	30 0.5×	26 0.5×	47 1.2×	31 0.8×	5 0.1×	47	319
Trina Myers	18 0.3×	25 0.5×	26 0.7×	41 1.1×	7 0.2×	50	351
William F. Moroney	41 0.7×	35 0.7×	13 0.3×	13 0.3×	9 0.3×	59	343
Dan Nathan-Roberts	64 1.1×	55 1.1×	11 0.3×	11 0.3×	7 0.2×	56	343
Ikram Asghar	20 0.4×	32 0.6×	51 1.3×	27 0.7×	5 0.1×	34	313
Mary Jane C. Samonte	21 0.4×	42 0.8×	34 0.8×	53 1.4×	4 0.1×	111	316
Marios Constantinides	20 0.4×	37 0.7×	15 0.4×	21 0.6×	11 0.3×	45	312
Ali Gürcan Özkil	7 0.1×	33 0.6×	62 1.6×	33 0.9×	12 0.3×	33	353
Luciano Coutinho	32 0.6×	12 0.2×	42 1.1×	16 0.4×	29 0.8×	40	330

Countries citing papers authored by Rachel McCrindle

Since Specialization

Citations

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

Fields of papers citing papers by Rachel McCrindle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel McCrindle

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

All Works

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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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