Norma Graham

4.5k total citations · 2 hit papers
60 papers, 3.5k citations indexed

About

Norma Graham is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Norma Graham has authored 60 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 28 papers in Atomic and Molecular Physics, and Optics and 6 papers in Molecular Biology. Recurrent topics in Norma Graham's work include Visual perception and processing mechanisms (53 papers), Neural dynamics and brain function (29 papers) and Color Science and Applications (26 papers). Norma Graham is often cited by papers focused on Visual perception and processing mechanisms (53 papers), Neural dynamics and brain function (29 papers) and Color Science and Applications (26 papers). Norma Graham collaborates with scholars based in United States, United Kingdom and South Sudan. Norma Graham's co-authors include J. G. Robson, Jacob Nachmias, Anne Sutter, Jacob Beck, Elizabeth T. Davis, Donald C. Hood, Stacey Wolfson, Dean Yager, Floyd Ratliff and B. W. Knight and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Neurosciences and Vision Research.

In The Last Decade

Norma Graham

56 papers receiving 3.3k citations

Hit Papers

Visual Pattern Analyzers 1981 2026 1996 2011 1989 1981 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norma Graham United States 26 3.0k 1.0k 569 370 346 60 3.5k
Lothar Spillmann Germany 32 2.8k 0.9× 759 0.7× 338 0.6× 688 1.9× 323 0.9× 116 3.2k
C.F. Stromeyer United States 28 2.4k 0.8× 1.1k 1.1× 279 0.5× 652 1.8× 195 0.6× 70 2.6k
Jacob Nachmias United States 25 3.2k 1.1× 1.1k 1.0× 504 0.9× 427 1.2× 367 1.1× 45 3.8k
J. J. Kulikowski United Kingdom 32 3.8k 1.3× 1.2k 1.1× 509 0.9× 568 1.5× 288 0.8× 93 4.4k
Karen K. De Valois United States 20 2.2k 0.7× 732 0.7× 299 0.5× 627 1.7× 254 0.7× 42 2.4k
Ennio Mingolla United States 34 3.9k 1.3× 838 0.8× 1.2k 2.2× 639 1.7× 290 0.8× 107 4.9k
Frederick A. A. Kingdom Canada 31 3.2k 1.0× 1.1k 1.1× 581 1.0× 963 2.6× 509 1.5× 145 3.8k
Daniel Kersten United States 36 3.7k 1.2× 592 0.6× 895 1.6× 640 1.7× 626 1.8× 129 4.5k
Jyrki Rovamo Finland 28 2.9k 1.0× 490 0.5× 373 0.7× 327 0.9× 226 0.7× 93 3.4k
Mark A. Georgeson United Kingdom 34 3.6k 1.2× 1.1k 1.0× 656 1.2× 512 1.4× 224 0.6× 121 4.1k

Countries citing papers authored by Norma Graham

Since Specialization
Citations

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

Fields of papers citing papers by Norma Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norma Graham

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

All Works

20 of 20 papers shown
1.
Graham, Norma & Stacey Wolfson. (2018). Is the straddle effect in contrast perception limited to second-order spatial vision?. Journal of Vision. 18(5). 15–15.
2.
Wolfson, Stacey & Norma Graham. (2010). More about "Buffy adaptation". Journal of Vision. 7(9). 264–264. 1 indexed citations
3.
Wolfson, Stacey & Norma Graham. (2007). An unusual kind of contrast adaptation: Shifting a contrast comparison level. Journal of Vision. 7(8). 12–12. 8 indexed citations
4.
Graham, Norma & Stacey Wolfson. (2004). Is there opponent-orientation coding in the second-order channels of pattern vision?. Vision Research. 44(27). 3145–3175. 13 indexed citations
5.
Graham, Norma & Stacey Wolfson. (2001). A note about preferred orientations at the first and second stages of complex (second-order) texture channels. Journal of the Optical Society of America A. 18(9). 2273–2273. 13 indexed citations
6.
Wolfson, Stacey & Norma Graham. (2001). Comparing increment and decrement probes in the probed-sinewave paradigm. Vision Research. 41(9). 1119–1131. 13 indexed citations
7.
Wolfson, Stacey, et al.. (2000). Increment and decrement probes in the probed-sinewave paradigm. 41(4). 71215. 1 indexed citations
8.
Wolfson, Stacey & Norma Graham. (2000). Exploring the dynamics of light adaptation: the effects of varying the flickering background’s duration in the probed-sinewave paradigm. Vision Research. 40(17). 2276–2288. 14 indexed citations
9.
Graham, Norma, et al.. (1999). Texture segregation shows only a very small lower-hemifield advantage. Vision Research. 39(6). 1171–1175. 7 indexed citations
10.
Graham, Norma & Anne Sutter. (1998). Spatial summation in simple (fourier) and complex (non-fourier) texture channels. Vision Research. 38(2). 231–257. 78 indexed citations
11.
Hood, Donald C., Norma Graham, Thomas Wiegand, & Valerie M. Chase. (1997). Probed-sinewave Paradigm: a Test of Models of Light-adaptation Dynamics. Vision Research. 37(9). 1177–1191. 27 indexed citations
12.
Wiegand, Thomas, Donald C. Hood, & Norma Graham. (1995). Testing a computational model of light-adaptation dynamics. Vision Research. 35(21). 3037–3051. 34 indexed citations
13.
Sutter, Anne & Norma Graham. (1995). Investigating simple and complex mechanisms in texture segregation using the speed-accuracy tradeoff method. Vision Research. 35(20). 2825–2843. 39 indexed citations
14.
Graham, Norma & Donald C. Hood. (1992). Modeling the dynamics of light adaptation: the merging of two traditions. Vision Research. 32(7). 1373–1393. 69 indexed citations
15.
Graham, Norma, Jacob Beck, & Anne Sutter. (1992). Nonlinear processes in spatial-frequency channel models of perceived texture segregation: Effects of sign and amount of contrast. Vision Research. 32(4). 719–743. 118 indexed citations
16.
Graham, Norma. (1992). Non-linear processes in perceived region segregation; Spatial-frequency- and orientation-selectivity of the first stage of complex channels. Ophthalmic and Physiological Optics. 12(1). 87–87. 2 indexed citations
17.
Graham, Norma. (1989). Visual Pattern Analyzers. Oxford University Press eBooks. 787 indexed citations breakdown →
18.
Graham, Norma, et al.. (1987). Signal-detection models for multidimensional stimuli: Probability distributions and combination rules. Journal of Mathematical Psychology. 31(4). 366–409. 40 indexed citations
19.
Graham, Norma, et al.. (1985). Simultaneous measurement of spatial-frequency summation and uncertainty effects. Journal of the Optical Society of America A. 2(9). 1533–1533. 20 indexed citations
20.
Gordon, James & Norma Graham. (1973). Early light and dark adaptation in frog on-off retinal ganglion cells. Vision Research. 13(3). 647–659. 5 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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