Pamela D. Beck

2.2k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Pamela D. Beck is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pamela D. Beck has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pamela D. Beck's work include Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (11 papers) and Retinal Development and Disorders (7 papers). Pamela D. Beck is often cited by papers focused on Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (11 papers) and Retinal Development and Disorders (7 papers). Pamela D. Beck collaborates with scholars based in United States and Bulgaria. Pamela D. Beck's co-authors include Johan Wessberg, Mark Laubach, John K. Chapin, Jerald D. Kralik, Sean Biggs, Mandayam A. Srinivasan, Miguel A. L. Nicolelis, Jung Kim, Jon H. Kaas and E. A. Lachica and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Comparative Neurology.

In The Last Decade

Pamela D. Beck

14 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

2000 1.0k citations Johan Wessberg, Jerald D. Kralik et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pamela D. Beck United States	11	1.4k	910	250	217	176	14	1.5k
Magnus J. E. Richardson United Kingdom	22	1.3k 0.9×	816 0.9×	98 0.4×	368 1.7×	121 0.7×	45	1.6k
Ronen Sosnik Israel	16	1.0k 0.7×	651 0.7×	150 0.6×	67 0.3×	68 0.4×	31	1.2k
Justin Foster United States	8	1.2k 0.9×	684 0.8×	268 1.1×	234 1.1×	37 0.2×	18	1.4k
Afsheen Afshar United States	15	1.8k 1.3×	1.1k 1.2×	443 1.8×	351 1.6×	38 0.2×	19	1.9k
Sergey D. Stavisky United States	20	1.7k 1.2×	980 1.1×	289 1.2×	438 2.0×	51 0.3×	39	1.8k
Steven M. Chase United States	26	2.5k 1.7×	1.5k 1.6×	447 1.8×	458 2.1×	69 0.4×	57	2.7k
Matthew D. Golub United States	13	1.1k 0.8×	487 0.5×	170 0.7×	138 0.6×	37 0.2×	14	1.2k
Matthew G. Perich United States	14	956 0.7×	404 0.4×	177 0.7×	125 0.6×	43 0.2×	22	1.1k
Edwin M. Maynard United States	9	1.0k 0.7×	1.3k 1.4×	340 1.4×	573 2.6×	41 0.2×	9	1.5k
Zenas C. Chao Japan	15	775 0.5×	512 0.6×	85 0.3×	214 1.0×	49 0.3×	40	937

Countries citing papers authored by Pamela D. Beck

Since Specialization

Citations

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

Fields of papers citing papers by Pamela D. Beck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela D. Beck. 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 Pamela D. Beck. The network helps show where Pamela D. Beck may publish in the future.

Co-authorship network of co-authors of Pamela D. Beck

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

All Works

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14 of 14 papers shown

1.

Wessberg, Johan, Jerald D. Kralik, Pamela D. Beck, et al.. (2000). Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature. 408(6810). 361–365. 1008 indexed citations breakdown →

2.

Beck, Pamela D. & Jon H. Kaas. (1999). Cortical connections of the dorsomedial visual area in Old World macaque monkeys. The Journal of Comparative Neurology. 406(4). 487–502. 45 indexed citations

3.

Beck, Pamela D. & Jon H. Kaas. (1999). Cortical connections of the dorsomedial visual area in Old World macaque monkeys. The Journal of Comparative Neurology. 406(4). 487–502. 2 indexed citations

4.

Beck, Pamela D. & Jon H. Kaas. (1998). Cortical connections of the dorsomedial visual area in prosimian primates. The Journal of Comparative Neurology. 398(2). 162–178. 26 indexed citations

5.

Beck, Pamela D. & Jon H. Kaas. (1998). Cortical connections of the dorsomedial visual area in new world owl monkeys (Aotus trivirgatus) and squirrel monkeys (Saimiri sciureus). The Journal of Comparative Neurology. 400(1). 18–34. 38 indexed citations

6.

Beck, Pamela D. & Jon H. Kaas. (1998). Thalamic connections of the dorsomedial visual area in primates. The Journal of Comparative Neurology. 396(3). 381–398. 33 indexed citations

7.

Beck, Pamela D. & Jon H. Kaas. (1998). Cortical connections of the dorsomedial visual area in prosimian primates. The Journal of Comparative Neurology. 398(2). 162–178. 1 indexed citations

8.

Beck, Pamela D., et al.. (1996). Topography, architecture, and connections of somatosensory cortex in opossums: Evidence for five somatosensory areas. The Journal of Comparative Neurology. 366(1). 109–133. 4 indexed citations

9.

Beck, Pamela D., et al.. (1996). Topography, architecture, and connections of somatosensory cortex in opossums: Evidence for five somatosensory areas. The Journal of Comparative Neurology. 366(1). 109–133. 81 indexed citations

10.

Beck, Pamela D. & Jon H. Kaas. (1994). Interhemispheric connections in neonatal owl monkeys (Aotus trivirgatus) and galagos (Galago crassicaudatus). Brain Research. 651(1-2). 57–75. 24 indexed citations

11.

Preuss, Todd M., Pamela D. Beck, & Jon H. Kaas. (1993). Areal, Modular, and Connectional Organization of Visual Cortex in a Prosimian Primate, the Slow Loris <i>(Nycticebus coucang)</i>. Brain Behavior and Evolution. 42(6). 321–335. 33 indexed citations

12.

Lachica, E. A., Pamela D. Beck, & V. A. Casagrande. (1993). Intrinsic connections of layer III of striate cortex in squirrel monkey and bush baby: Correlations with patterns of cytochrome oxidase. The Journal of Comparative Neurology. 329(2). 163–187. 45 indexed citations

13.

DeBruyn, E.J., V.A. Casagrande, Pamela D. Beck, & A. B. Bonds. (1993). Visual resolution and sensitivity of single cells in the primary visual cortex (V1) of a nocturnal primate (bush baby): correlations with cortical layers and cytochrome oxidase patterns. Journal of Neurophysiology. 69(1). 3–18. 48 indexed citations

14.

Lachica, E. A., Pamela D. Beck, & V.A. Casagrande. (1992). Parallel pathways in macaque monkey striate cortex: anatomically defined columns in layer III.. Proceedings of the National Academy of Sciences. 89(8). 3566–3570. 152 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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