Judith E. Dayhoff

1.2k total citations
43 papers, 880 citations indexed

About

Judith E. Dayhoff is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Judith E. Dayhoff has authored 43 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Judith E. Dayhoff's work include Neural Networks and Applications (17 papers), Neural dynamics and brain function (9 papers) and Advanced Memory and Neural Computing (5 papers). Judith E. Dayhoff is often cited by papers focused on Neural Networks and Applications (17 papers), Neural dynamics and brain function (9 papers) and Advanced Memory and Neural Computing (5 papers). Judith E. Dayhoff collaborates with scholars based in United States, Spain and Sweden. Judith E. Dayhoff's co-authors include J.M. DeLeo, G. L. Gerstein, Rafael Lahoz-Beltrá, Stuart R. Hameroff, Daw-Tung Lin, Panos A. Ligomenides, Stephen H. Bryant, Benjamin A. Shoemaker, Anna R. Panchenko and Steen Rasmussen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Molecular Biology and Cancer.

In The Last Decade

Judith E. Dayhoff

38 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Judith E. Dayhoff United States	13	213	166	143	127	76	43	880
Zhigang Shang China	17	150 0.7×	96 0.6×	168 1.2×	63 0.5×	38 0.5×	73	878
J.C. Principe United States	10	321 1.5×	174 1.0×	63 0.4×	46 0.4×	14 0.2×	26	990
Melissa C. Smith United States	16	184 0.9×	128 0.8×	147 1.0×	64 0.5×	22 0.3×	72	880
Vı́ctor Robles Spain	15	691 3.2×	135 0.8×	579 4.0×	131 1.0×	45 0.6×	41	1.6k
Gilles Blanchard Germany	19	561 2.6×	113 0.7×	77 0.5×	45 0.4×	16 0.2×	53	1.1k
Antonina Starita Italy	15	519 2.4×	80 0.5×	121 0.8×	17 0.1×	20 0.3×	79	1.1k
Xiaofeng Xu China	21	123 0.6×	40 0.2×	491 3.4×	116 0.9×	16 0.2×	99	1.6k
Ivan Tyukin United Kingdom	18	392 1.8×	255 1.5×	65 0.5×	56 0.4×	14 0.2×	100	1.3k
Tobias Glasmachers Germany	16	406 1.9×	99 0.6×	40 0.3×	40 0.3×	12 0.2×	43	741
Rémi Dubois France	28	93 0.4×	148 0.9×	212 1.5×	82 0.6×	8 0.1×	106	2.6k

Countries citing papers authored by Judith E. Dayhoff

Since Specialization

Citations

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

Fields of papers citing papers by Judith E. Dayhoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith E. Dayhoff. 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 Judith E. Dayhoff. The network helps show where Judith E. Dayhoff may publish in the future.

Co-authorship network of co-authors of Judith E. Dayhoff

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

All Works

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20 of 20 papers shown

Dayhoff, Judith E., Benjamin A. Shoemaker, Stephen H. Bryant, & Anna R. Panchenko. (2009). Evolution of Protein Binding Modes in Homooligomers. Journal of Molecular Biology. 395(4). 860–870. 59 indexed citations

Lin, Daw-Tung, Judith E. Dayhoff, & Panos A. Ligomenides. (2003). Trajectory recognition with a time-delay neural network. 3. 197–202. 4 indexed citations

Brauner, Erik, et al.. (2002). Neural network training techniques for a gold trading model. 57–63. 4 indexed citations

DeLeo, J.M. & Judith E. Dayhoff. (2002). Medical applications of neural networks: measures of certainty and statistical tradeoffs. 45. 3009–3014. 5 indexed citations

Dayhoff, Judith E. & J.M. DeLeo. (2001). Artificial neural networks. Cancer. 91(S8). 1615–1635. 321 indexed citations

Crawford, Emily, et al.. (2001). Use Of Artificial Neural Networks In Prostate Cancer. PubMed. 5(4). 153–158. 8 indexed citations

Dayhoff, Judith E., et al.. (2001). Conference on Prognostic Factors and Staging in Cancer Management: Contributions of Artificial Neural Networks and Other Statistical Methods. 1 indexed citations

Kamgar-Parsi, Behrooz, Behzad Kamgar-Parsi, Judith E. Dayhoff, & Anil K. Jain. (2000). <title>Avoiding metric similarity measures in ATR</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4050. 48–54.

Lin, Daw-Tung, Judith E. Dayhoff, & Panos A. Ligomenides. (1995). Trajectory production with the adaptive time-delay neural network. Neural Networks. 8(3). 447–461. 41 indexed citations

10.

Dayhoff, Judith E., Stuart R. Hameroff, Rafael Lahoz-Beltrá, & Charlese E Swenberg. (1994). Cytoskeletal involvement in neuronal learning: a review. European Biophysics Journal. 23(2). 79–93. 27 indexed citations

11.

Dayhoff, Judith E.. (1994). Synchrony detection in neural assemblies. Biological Cybernetics. 71(3). 263–270. 5 indexed citations

12.

Lin, Daw-Tung, Panos A. Ligomenides, & Judith E. Dayhoff. (1993). Learning with the Adaptive Time-Delay Neural Network. Experimental Physiology. 108(6). 891–911. 1 indexed citations

13.

Hameroff, Stuart R., Judith E. Dayhoff, Rafael Lahoz-Beltrá, & Steen Rasmussen. (1993). Nanoneurology and the cytoskeleton: Quantum Signaling and Protein Conformational Dynamics as Cognitive Substrate. 317–376. 3 indexed citations

14.

Lahoz-Beltrá, Rafael, Stuart R. Hameroff, & Judith E. Dayhoff. (1993). Cytoskeletal logic: a model for molecular computation via Boolean operations in microtubules and microtubule-associated proteins. Biosystems. 29(1). 1–23. 37 indexed citations

15.

Dayhoff, Judith E.. (1991). A pulse transmission neural network architecture that recognizes patterns and temporally integrates. 979 vol.2–979 vol.2. 2 indexed citations

16.

Ross, Muriel D., Judith E. Dayhoff, & Dale H. Mugler. (1990). Toward modeling a dynamic biological neural network. Mathematical and Computer Modelling. 13(7). 97–105. 5 indexed citations

17.

Dayhoff, Ruth E. & Judith E. Dayhoff. (1988). Neural Networks for Medical Image Processing: A Study of Feature Identification. PubMed Central. 271–275. 4 indexed citations

18.

Dayhoff, Judith E., et al.. (1987). A Model for Wafer Fabrication Dynamics in Integrated Circuit Manufacturing. IEEE Transactions on Systems Man and Cybernetics. 17(1). 91–100. 14 indexed citations

19.

Dayhoff, Judith E., et al.. (1985). Financial Implications of a Detailed Analysis of Test Floor Operations.. International Test Conference. 23–32. 2 indexed citations

20.

Dayhoff, Judith E., et al.. (1983). Operations Management and Analysis in the Management of Electronic Testing.. International Test Conference. 418–427. 3 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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