Daniel Birman

1.8k total citations · 1 hit paper
5 papers, 633 citations indexed

About

Daniel Birman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Birman has authored 5 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Birman's work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Daniel Birman is often cited by papers focused on Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Daniel Birman collaborates with scholars based in United States, Switzerland and Germany. Daniel Birman's co-authors include Marie Schaer, Krzysztof J. Gorgolewski, Russell A. Poldrack, Oluwasanmi Koyejo, Oscar Estéban, Benjamin Blankertz, Kai Görgen, Matthias Schultze-Kraft, John–Dylan Haynes and Carsten Allefeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Daniel Birman

5 papers receiving 621 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.

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

2017 497 citations Oscar Estéban, Daniel Birman et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Birman United States	5	449	203	83	64	34	5	633
Camille Maumet France	12	626 1.4×	254 1.3×	85 1.0×	107 1.7×	21 0.6×	49	859
Karthik Sreenivasan United States	17	524 1.2×	208 1.0×	102 1.2×	131 2.0×	27 0.8×	34	808
Kaustubh Kulkarni United States	10	482 1.1×	158 0.8×	51 0.6×	128 2.0×	22 0.6×	18	667
Seyed Amir Hossein Batouli Iran	13	252 0.6×	109 0.5×	91 1.1×	46 0.7×	50 1.5×	59	493
Brittany E. Burrows United States	6	455 1.0×	116 0.6×	50 0.6×	65 1.0×	37 1.1×	8	568
Hamdi Eryilmaz United States	13	453 1.0×	140 0.7×	69 0.8×	128 2.0×	44 1.3×	24	682
Klaudius Kalcher Austria	13	518 1.2×	214 1.1×	68 0.8×	152 2.4×	38 1.1×	23	761
Letizia Squarcina Italy	16	272 0.6×	236 1.2×	153 1.8×	85 1.3×	33 1.0×	45	717
Peter Kochunov United States	9	306 0.7×	245 1.2×	73 0.9×	54 0.8×	21 0.6×	10	526
Ann S. Choe United States	13	552 1.2×	434 2.1×	84 1.0×	56 0.9×	28 0.8×	23	790

Countries citing papers authored by Daniel Birman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Birman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Birman

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

All Works

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5 of 5 papers shown

1.

Birman, Daniel, et al.. (2023). Gain, not concomitant changes in spatial receptive field properties, improves task performance in a neural network attention model. eLife. 12. 6 indexed citations

2.

Birman, Daniel & Justin L. Gardner. (2019). A flexible readout mechanism of human sensory representations. Nature Communications. 10(1). 3500–3500. 15 indexed citations

3.

Birman, Daniel & Justin L. Gardner. (2018). A quantitative framework for motion visibility in human cortex. Journal of Neurophysiology. 120(4). 1824–1839. 6 indexed citations

4.

Estéban, Oscar, Daniel Birman, Marie Schaer, et al.. (2017). MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLoS ONE. 12(9). e0184661–e0184661. 497 indexed citations breakdown →

5.

Schultze-Kraft, Matthias, Daniel Birman, Carsten Allefeld, et al.. (2015). The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences. 113(4). 1080–1085. 109 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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