D.H. Ballard

13.2k total citations · 6 hit papers
64 papers, 9.1k citations indexed

About

D.H. Ballard is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, D.H. Ballard has authored 64 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 15 papers in Artificial Intelligence. Recurrent topics in D.H. Ballard's work include Image Retrieval and Classification Techniques (8 papers), Visual perception and processing mechanisms (8 papers) and Robotics and Sensor-Based Localization (8 papers). D.H. Ballard is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Visual perception and processing mechanisms (8 papers) and Robotics and Sensor-Based Localization (8 papers). D.H. Ballard collaborates with scholars based in United States, United Kingdom and Netherlands. D.H. Ballard's co-authors include Jerome A. Feldman, Mark D’Esposito, Mary Hayhoe, Eric Zarahn, Geoffrey K. Aguirre, Jeremiah Hagler, Zhe Chen, David C. Scherer, Francesco Melandri and Vito J. Palombella and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Genes & Development.

In The Last Decade

D.H. Ballard

61 papers receiving 8.5k citations

Hit Papers

Generalizing the Hough transform to detect arbitrary shapes 1981 2026 1996 2011 1981 1995 1982 1998 1999 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.H. Ballard United States 23 3.3k 2.9k 974 946 782 64 9.1k
Joachim M. Buhmann Switzerland 54 4.6k 1.4× 1.7k 0.6× 2.1k 2.2× 3.5k 3.7× 313 0.4× 235 12.5k
William H. Warren United States 66 1.6k 0.5× 6.4k 2.2× 663 0.7× 367 0.4× 365 0.5× 275 15.0k
Michael Cohen United States 54 4.9k 1.5× 1.5k 0.5× 1.0k 1.0× 978 1.0× 419 0.5× 352 12.3k
Rabab Ward Canada 55 4.8k 1.5× 2.6k 0.9× 877 0.9× 1.1k 1.2× 573 0.7× 454 12.8k
Wanqing Li China 47 5.3k 1.6× 636 0.2× 778 0.8× 2.4k 2.6× 262 0.3× 393 9.7k
Yoshihiko Nakamura Japan 58 3.8k 1.2× 647 0.2× 842 0.9× 959 1.0× 1.3k 1.7× 597 14.4k
Matthias Bethge Germany 44 4.4k 1.3× 4.7k 1.6× 1.6k 1.6× 2.0k 2.1× 202 0.3× 285 14.4k
Daoqiang Zhang China 55 4.5k 1.4× 2.9k 1.0× 1.2k 1.2× 3.7k 3.9× 96 0.1× 368 12.7k
Tiejun Huang China 47 5.2k 1.6× 931 0.3× 221 0.2× 1.7k 1.8× 457 0.6× 351 8.5k
Polina Golland United States 39 2.2k 0.7× 1.7k 0.6× 2.7k 2.7× 867 0.9× 156 0.2× 199 9.5k

Countries citing papers authored by D.H. Ballard

Since Specialization
Citations

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

Fields of papers citing papers by D.H. Ballard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.H. Ballard

This figure shows the co-authorship network connecting the top 25 collaborators of D.H. Ballard. A scholar is included among the top collaborators of D.H. Ballard 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 D.H. Ballard. D.H. Ballard 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.
Chun, Hyonho, D.H. Ballard, Judy H. Cho, & Hongyu Zhao. (2011). Identification of association between disease and multiple markers via sparse partial least-squares regression. Genetic Epidemiology. 35(6). n/a–n/a. 13 indexed citations
2.
Tatler, Benjamin W., Mary Hayhoe, M. F. Land, & D.H. Ballard. (2011). Eye guidance in natural vision: Reinterpreting salience. Journal of Vision. 11(5). 5–5. 521 indexed citations breakdown →
3.
Freudenberg, Jan, Annette T. Lee, Katherine A. Siminovitch, et al.. (2010). Locus category based analysis of a large genome-wide association study of rheumatoid arthritis. Human Molecular Genetics. 19(19). 3863–3872. 11 indexed citations
4.
Ballard, D.H. & Constantin A. Rothkopf. (2010). Learning visual representations with projection pursuit. Journal of Vision. 5(8). 373–373.
5.
Wu, Zheyang, et al.. (2009). Two-stage joint selection method to identify candidate markers from genome-wide association studies. BMC Proceedings. 3(S7). S29–S29. 7 indexed citations
6.
Aporntewan, Chatchawit, et al.. (2009). Gene hunting of the Genetic Analysis Workshop 16 rheumatoid arthritis data using rough set theory. BMC Proceedings. 3(S7). S126–S126. 8 indexed citations
7.
Ballard, D.H., et al.. (2009). A pathway analysis applied to Genetic Analysis Workshop 16 genome-wide rheumatoid arthritis data. BMC Proceedings. 3(S7). S91–S91. 16 indexed citations
8.
Kleim, J. A., et al.. (2007). Motor learning induces astrocytic hypertrophy in the cerebellar cortex. Behavioural Brain Research. 178(2). 244–249. 72 indexed citations
9.
Huang, Song, D.H. Ballard, & Hongyu Zhao. (2007). The role of heritability in mapping expression quantitative trait loci. BMC Proceedings. 1(S1). S86–S86. 6 indexed citations
10.
Triesch, Jochen, D.H. Ballard, Mary Hayhoe, & Brian Sullivan. (2003). What you see is what you need. Journal of Vision. 3(1). 9–9. 226 indexed citations
11.
Ballard, D.H., et al.. (2002). Developing autonomous navigation algorithms using photorealistic simulation. 882–887. 1 indexed citations
12.
Hayhoe, Mary, D.H. Ballard, & Jeff B. Pelz. (2002). Visual representations in natural tasks. 1–9. 1 indexed citations
13.
Bayliss, Jessica D. & D.H. Ballard. (2000). A virtual reality testbed for brain-computer interface research. IEEE Transactions on Rehabilitation Engineering. 8(2). 188–190. 102 indexed citations
14.
D’Esposito, Mark, D.H. Ballard, Eric Zarahn, & Geoffrey K. Aguirre. (2000). The Role of Prefrontal Cortex in Sensory Memory and Motor Preparation: An Event-Related fMRI Study. NeuroImage. 11(5). 400–408. 100 indexed citations
15.
D’Esposito, Mark, D.H. Ballard, Geoffrey K. Aguirre, & Eric Zarahn. (1998). Human Prefrontal Cortex Is Not Specific for Working Memory: A Functional MRI Study. NeuroImage. 8(3). 274–282. 108 indexed citations
16.
Ballard, D.H., et al.. (1992). Hand-eye coordination during sequential tasks. Philosophical Transactions of the Royal Society B Biological Sciences. 337(1281). 331–339. 242 indexed citations
17.
Brown, Christopher M., D.H. Ballard, & Owen Kimball. (1983). Constraint interaction in shape-from-shading algorithms. 261–299. 6 indexed citations
18.
Feldman, Jerome A. & D.H. Ballard. (1982). Connectionist models and their properties. Cognitive Science. 6(3). 205–254. 253 indexed citations
19.
Ballard, D.H.. (1981). Parameter networks: Towards a theory of low level vision. Defense Technical Information Center (DTIC). 1068–1078. 11 indexed citations
20.
Ballard, D.H., Christopher M. Brown, & Jerome A. Feldman. (1977). An approach to knowledge-directed image analysis. UR Research (University of Rochester). 664–670. 32 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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