Cassandra Moore

830 total citations
7 papers, 593 citations indexed

About

Cassandra Moore is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Cassandra Moore has authored 7 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Human-Computer Interaction. Recurrent topics in Cassandra Moore's work include Face Recognition and Perception (3 papers), Visual perception and processing mechanisms (2 papers) and Neural dynamics and brain function (1 paper). Cassandra Moore is often cited by papers focused on Face Recognition and Perception (3 papers), Visual perception and processing mechanisms (2 papers) and Neural dynamics and brain function (1 paper). Cassandra Moore collaborates with scholars based in United States and Germany. Cassandra Moore's co-authors include Soledad Ballesteros, Daniel L. Schacter, Lynn A. Cooper, James E. Cutting, Roger B. Morrison, Patrick Cavanagh, Nuala Brady, Nicola Bruno, Carol Yin and Stephen A. Engel and has published in prestigious journals such as Current Biology, Cognition and Journal of Experimental Psychology General.

In The Last Decade

Cassandra Moore

7 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cassandra Moore United States	7	486	125	110	98	92	7	593
Brian Barton United States	11	886 1.8×	114 0.9×	190 1.7×	49 0.5×	62 0.7×	27	1.0k
Richard D. Wright Canada	12	548 1.1×	132 1.1×	185 1.7×	58 0.6×	85 0.9×	31	723
Anthony Stigliani United States	11	578 1.2×	67 0.5×	91 0.8×	54 0.6×	99 1.1×	16	643
Jaap A. Beintema Netherlands	11	404 0.8×	186 1.5×	35 0.3×	26 0.3×	115 1.3×	19	493
Annabelle Goujon France	10	275 0.6×	59 0.5×	88 0.8×	84 0.9×	36 0.4×	14	372
Assaf Harel United States	16	781 1.6×	85 0.7×	174 1.6×	39 0.4×	200 2.2×	39	892
E. Charles Leek United Kingdom	16	547 1.1×	70 0.6×	83 0.8×	103 1.1×	142 1.5×	60	696
Jun Saiki Japan	17	688 1.4×	154 1.2×	207 1.9×	70 0.7×	111 1.2×	91	860
Hilda M. Fehd United States	5	507 1.0×	82 0.7×	58 0.5×	101 1.0×	40 0.4×	8	612
Tanya Orlov Israel	11	357 0.7×	120 1.0×	63 0.6×	81 0.8×	20 0.2×	14	497

Countries citing papers authored by Cassandra Moore

Since Specialization

Citations

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

Fields of papers citing papers by Cassandra Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cassandra Moore

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

All Works

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7 of 7 papers shown

1.

Riaz, Irbaz Bin, Alvin C. Silva, Alan H. Bryce, et al.. (2023). Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach. Cancers. 15(6). 1673–1673. 21 indexed citations

2.

Yin, Carol, Shinsuke Shimojo, Cassandra Moore, & Stephen A. Engel. (2002). Dynamic Shape Integration in Extrastriate Cortex. Current Biology. 12(16). 1379–1385. 36 indexed citations

3.

Moore, Cassandra & Patrick Cavanagh. (1998). Recovery of 3D volume from 2-tone images of novel objects. Cognition. 67(1-2). 45–71. 80 indexed citations

4.

Cooper, Lynn A., Daniel L. Schacter, Soledad Ballesteros, & Cassandra Moore. (1992). Priming and recognition of transformed three-dimensional objects: Effects of size and reflection.. Journal of Experimental Psychology Learning Memory and Cognition. 18(1). 43–57. 169 indexed citations

5.

Cooper, Lynn A., Daniel L. Schacter, Soledad Ballesteros, & Cassandra Moore. (1992). Priming and recognition of transformed three-dimensional objects: Effects of size and reflection.. Journal of Experimental Psychology Learning Memory and Cognition. 18(1). 43–57. 105 indexed citations

6.

Cutting, James E., Nicola Bruno, Nuala Brady, & Cassandra Moore. (1992). Selectivity, scope, and simplicity of models: A lesson from fitting judgments of perceived depth.. Journal of Experimental Psychology General. 121(3). 364–381. 53 indexed citations

7.

Cutting, James E., Cassandra Moore, & Roger B. Morrison. (1988). Masking the motions of human gait. Perception & Psychophysics. 44(4). 339–347. 129 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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