Daniel Ruderman

9.1k total citations · 3 hit papers
44 papers, 3.4k citations indexed

About

Daniel Ruderman is a scholar working on Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Ruderman has authored 44 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Ruderman's work include Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (12 papers) and Cell Image Analysis Techniques (7 papers). Daniel Ruderman is often cited by papers focused on Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (12 papers) and Cell Image Analysis Techniques (7 papers). Daniel Ruderman collaborates with scholars based in United States, United Kingdom and Germany. Daniel Ruderman's co-authors include William Bialek, Thomas W. Cronin, Chuan‐Chin Chiao, J. H. van Hateren, David B. Agus, Kevin A. Archie, Bartlett W. Mel, Rajesh P. N. Rao, Nikhil Naik and Andre Esteva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Daniel Ruderman

44 papers receiving 3.3k 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.

Statistics of natural images: Scaling in the woods

1994 662 citations Daniel Ruderman, William Bialek profile →
The statistics of natural images

1994 642 citations Daniel Ruderman profile →
Statistics of cone responses to natural images: implications for visual coding

1998 505 citations Daniel Ruderman, Thomas W. Cronin et al. Journal of the Optical Society of America A profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ruderman United States	21	1.5k	1.3k	567	431	417	44	3.4k
J.P. Jones United States	15	656 0.4×	1.2k 0.9×	145 0.3×	210 0.5×	168 0.4×	66	2.4k
Eli Schwartz United States	28	1.1k 0.8×	1.1k 0.8×	274 0.5×	453 1.1×	72 0.2×	72	2.8k
Jos B. T. M. Roerdink Netherlands	30	1.8k 1.2×	623 0.5×	317 0.6×	391 0.9×	48 0.1×	171	4.1k
Erhardt Barth Germany	28	1.6k 1.1×	746 0.6×	215 0.4×	407 0.9×	40 0.1×	128	3.3k
Lewis D. Griffin United Kingdom	28	866 0.6×	351 0.3×	154 0.3×	267 0.6×	103 0.2×	102	2.6k
Simon J. D. Prince United Kingdom	22	1.3k 0.9×	596 0.4×	215 0.4×	1.0k 2.4×	91 0.2×	40	3.1k
Ola Friman Sweden	23	514 0.4×	1.1k 0.8×	444 0.8×	386 0.9×	64 0.2×	73	5.9k
Gershon Buchsbaum United States	21	1.2k 0.8×	991 0.7×	443 0.8×	41 0.1×	1.2k 2.8×	47	2.8k
Jimin Liang China	35	890 0.6×	325 0.2×	150 0.3×	332 0.8×	141 0.3×	237	4.4k
A. Santos Spain	27	768 0.5×	247 0.2×	404 0.7×	243 0.6×	286 0.7×	192	3.6k

Countries citing papers authored by Daniel Ruderman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ruderman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ruderman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ruderman. A scholar is included among the top collaborators of Daniel Ruderman 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 Ruderman. Daniel Ruderman 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:

20 of 20 papers shown

Herbst, Roy S., Daniel Ruderman, James F. Conway, et al.. (2023). OA15.04 Comparison of Digital Vs Manual PD-L1 Tumour Cell Scoring on SP263-Stained Whole Imaging Slides from IMpower110. Journal of Thoracic Oncology. 18(11). S79–S80. 2 indexed citations

Liu, Chao, Grzegorz Zapotoczny, Nolan Ung, et al.. (2021). Paradoxical androgen receptor regulation by small molecule enantiomers. Proceedings of the National Academy of Sciences. 118(12). 3 indexed citations

Sha, Fei, et al.. (2020). Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status from H&E images. Scientific Reports. 10(1). 7275–7275. 63 indexed citations

Ruderman, Daniel & Ellen G. Cohn. (2020). Predictive Extrinsic Factors in Multiple Victim Shootings. The Journal of Primary Prevention. 42(1). 59–75. 7 indexed citations

Lee, Jung‐Rok, Iris Appelmann, Cornelius Miething, et al.. (2018). Longitudinal Multiplexed Measurement of Quantitative Proteomic Signatures in Mouse Lymphoma Models Using Magneto-Nanosensors. Theranostics. 8(5). 1389–1398. 16 indexed citations

Lam, Larry, Liudmilla Rubbi, Roberto Ferrari, et al.. (2016). Epigenetic changes mediated by polycomb repressive complex 2 and E2a are associated with drug resistance in a mouse model of lymphoma. Genome Medicine. 8(1). 54–54. 10 indexed citations

Chiu, Chi‐Li, et al.. (2016). Single cell dynamic phenotyping. Scientific Reports. 6(1). 34785–34785. 10 indexed citations

Chiu, Chi‐Li, et al.. (2016). Intracellular kinetics of the androgen receptor shown by multimodal Image Correlation Spectroscopy (mICS). Scientific Reports. 6(1). 22435–22435. 7 indexed citations

Ruderman, Daniel. (2016). Designing Successful Proteomics Experiments. Methods in molecular biology. 1550. 271–288. 4 indexed citations

10.

Hughey, Christine A., et al.. (2008). Naphthenic acids as indicators of crude oil biodegradation in soil, based on semi‐quantitative electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry. Rapid Communications in Mass Spectrometry. 22(23). 3968–3976. 60 indexed citations

11.

Tedesco, Donato, Jianhua Zhang, Guita Lalehzadeh, et al.. (2007). The Ubiquitin-Conjugating Enzyme E2-EPF Is Overexpressed in Primary Breast Cancer and Modulates Sensitivity to Topoisomerase II Inhibition. Neoplasia. 9(7). 601–613. 45 indexed citations

12.

Turiel, Antonio, et al.. (2000). Multiscaling and information content of natural color images. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(1). 1138–1148. 21 indexed citations

13.

Ruderman, Daniel. (1998). Statistics of cone responses to natural images : implications for visual coding. Journal of the Optical Society of America A. 15(8). 2036–2045. 19 indexed citations

14.

Rao, Rajesh P. N. & Daniel Ruderman. (1998). Learning Lie Groups for Invariant Visual Perception. Neural Information Processing Systems. 11. 810–816. 40 indexed citations

15.

Osorio, Daniel, Daniel Ruderman, & Thomas W. Cronin. (1998). Estimation of errors in luminance signals encoded by primate retina resulting from sampling of natural images with red and green cones. Journal of the Optical Society of America A. 15(1). 16–16. 43 indexed citations

16.

Mel, Bartlett W., Daniel Ruderman, & Kevin A. Archie. (1997). Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites. Neural Information Processing Systems. 10. 208–214. 2 indexed citations

17.

Mel, Bartlett W., Daniel Ruderman, & Kevin A. Archie. (1996). Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation. Neural Information Processing Systems. 9. 83–89. 3 indexed citations

18.

Ruderman, Daniel. (1996). <title>Origins of scaling in natural images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2657. 120–131. 11 indexed citations

19.

Ruderman, Daniel & William Bialek. (1993). Statistics of Natural Images: Scaling in the Woods. neural information processing systems. 6. 551–558. 15 indexed citations

20.

Bialek, William, Daniel Ruderman, & A. Zee. (1990). Optimal Sampling of Natural Images: A Design Principle for the Visual System. Neural Information Processing Systems. 3. 363–369. 26 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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