Connor Lane

427 total citations
9 papers, 224 citations indexed

About

Connor Lane is a scholar working on Cognitive Neuroscience, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Connor Lane has authored 9 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Connor Lane's work include Tactile and Sensory Interactions (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Visual perception and processing mechanisms (3 papers). Connor Lane is often cited by papers focused on Tactile and Sensory Interactions (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Visual perception and processing mechanisms (3 papers). Connor Lane collaborates with scholars based in United States, Italy and Germany. Connor Lane's co-authors include Marina Bedny, Shipra Kanjlia, Akira Omaki, Lisa Feigenson, Anne B. Fulton, Hilary Richardson, Renè Vidal, Benjamin D. Haeffele, Chong You and Manolis C. Tsakiris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Cerebral Cortex.

In The Last Decade

Connor Lane

9 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor Lane United States	6	183	68	42	20	20	9	224
Yoshiaki Tsushima Japan	8	238 1.3×	76 1.1×	41 1.0×	9 0.5×	29 1.4×	13	309
Tomoya Nakai Japan	9	133 0.7×	27 0.4×	39 0.9×	31 1.6×	15 0.8×	27	200
Vy A. Vo United States	7	217 1.2×	23 0.3×	57 1.4×	33 1.6×	9 0.5×	16	280
Vladislav Ayzenberg United States	10	169 0.9×	41 0.6×	34 0.8×	40 2.0×	31 1.6×	24	264
Shipra Kanjlia United States	10	263 1.4×	106 1.6×	93 2.2×	59 3.0×	15 0.8×	15	325
Annelies Baeck Belgium	10	247 1.3×	46 0.7×	20 0.5×	7 0.3×	30 1.5×	13	270
Nicolas Farrugia France	8	163 0.9×	30 0.4×	45 1.1×	6 0.3×	34 1.7×	24	212
Simon D. Lilburn Australia	10	229 1.3×	55 0.8×	11 0.3×	15 0.8×	18 0.9×	19	270
Einat Rashal Israel	7	256 1.4×	53 0.8×	26 0.6×	12 0.6×	19 0.9×	15	271
Péter Szigetvári Hungary	5	141 0.8×	133 2.0×	23 0.5×	6 0.3×	21 1.1×	14	273

Countries citing papers authored by Connor Lane

Since Specialization

Citations

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

Fields of papers citing papers by Connor Lane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Lane

This figure shows the co-authorship network connecting the top 25 collaborators of Connor Lane. A scholar is included among the top collaborators of Connor Lane 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 Connor Lane. Connor Lane 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.

Loiotile, Rita, Connor Lane, Akira Omaki, & Marina Bedny. (2020). Enhanced performance on a sentence comprehension task in congenitally blind adults. Language Cognition and Neuroscience. 35(8). 1010–1023. 9 indexed citations

2.

Lane, Connor, et al.. (2019). A Double Dissociation in Sensitivity to Verb and Noun Semantics Across Cortical Networks. Cerebral Cortex. 29(11). 4803–4817. 21 indexed citations

3.

Lane, Connor, et al.. (2019). Classifying and Comparing Approaches to Subspace Clustering with Missing Data. 669–677. 9 indexed citations

4.

Lane, Connor, Benjamin D. Haeffele, & Renè Vidal. (2019). Adaptive Online k-Subspaces with Cooperative Re-Initialization. 678–688. 2 indexed citations

5.

Cavazza, Jacopo, Pietro Morerio, Benjamin D. Haeffele, et al.. (2017). Dropout as a Low-Rank Regularizer for Matrix Factorization.. International Conference on Artificial Intelligence and Statistics. 435–444. 3 indexed citations

6.

Lane, Connor, Shipra Kanjlia, Hilary Richardson, et al.. (2016). Reduced Left Lateralization of Language in Congenitally Blind Individuals. Journal of Cognitive Neuroscience. 29(1). 65–78. 34 indexed citations

7.

Kanjlia, Shipra, Connor Lane, Lisa Feigenson, & Marina Bedny. (2016). Absence of visual experience modifies the neural basis of numerical thinking. Proceedings of the National Academy of Sciences. 113(40). 11172–11177. 69 indexed citations

8.

Lane, Connor, Shipra Kanjlia, Akira Omaki, & Marina Bedny. (2015). “Visual” Cortex of Congenitally Blind Adults Responds to Syntactic Movement. Journal of Neuroscience. 35(37). 12859–12868. 76 indexed citations

9.

Kanjlia, Shipra, Connor Lane, Lisa Feigenson, & Marina Bedny. (2015). Visual cortex of congenitally blind individuals responds to symbolic number. Journal of Vision. 15(12). 194–194. 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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