Edward D. Lipson

1.7k total citations
95 papers, 1.3k citations indexed

About

Edward D. Lipson is a scholar working on Renewable Energy, Sustainability and the Environment, Ecology, Evolution, Behavior and Systematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Edward D. Lipson has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Renewable Energy, Sustainability and the Environment, 26 papers in Ecology, Evolution, Behavior and Systematics and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Edward D. Lipson's work include Algal biology and biofuel production (27 papers), Biocrusts and Microbial Ecology (26 papers) and Medical Imaging Techniques and Applications (24 papers). Edward D. Lipson is often cited by papers focused on Algal biology and biofuel production (27 papers), Biocrusts and Microbial Ecology (26 papers) and Medical Imaging Techniques and Applications (24 papers). Edward D. Lipson collaborates with scholars based in United States, Canada and Australia. Edward D. Lipson's co-authors include Paul Galland, Kenneth W. Foster, David E. Presti, Glenn A. Galau, Roy J. Britten, Eric H. Davidson, William S. Stark, William A. Harris, John A. Pollock and A. J. Hudspeth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Edward D. Lipson

93 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward D. Lipson United States 21 519 518 344 336 241 95 1.3k
Paul Galland Germany 27 1.2k 2.3× 1.8k 3.5× 577 1.7× 450 1.3× 570 2.4× 93 2.8k
Eiji Hase Japan 21 817 1.6× 204 0.4× 130 0.4× 562 1.7× 120 0.5× 125 1.5k
Erik Hom United States 20 963 1.9× 218 0.4× 147 0.4× 426 1.3× 80 0.3× 30 1.8k
Shigeru Matsunaga Japan 17 633 1.2× 324 0.6× 73 0.2× 85 0.3× 432 1.8× 28 1.2k
K. Bergman United States 19 297 0.6× 706 1.4× 152 0.4× 118 0.4× 48 0.2× 33 1.5k
R. E. Williamson United States 22 1.1k 2.0× 1.3k 2.6× 174 0.5× 114 0.3× 186 0.8× 69 2.2k
Noburô KAMIYA Japan 17 351 0.7× 361 0.7× 252 0.7× 89 0.3× 137 0.6× 40 1.1k
H. -D. Reiss Germany 21 751 1.4× 723 1.4× 307 0.9× 76 0.2× 37 0.2× 48 1.3k
Masato Nakajima Japan 17 1.5k 2.9× 1.0k 2.0× 150 0.4× 248 0.7× 712 3.0× 62 2.6k
Régis Mache France 27 1.7k 3.3× 873 1.7× 134 0.4× 173 0.5× 51 0.2× 51 2.1k

Countries citing papers authored by Edward D. Lipson

Since Specialization
Citations

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

Fields of papers citing papers by Edward D. Lipson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward D. Lipson

This figure shows the co-authorship network connecting the top 25 collaborators of Edward D. Lipson. A scholar is included among the top collaborators of Edward D. Lipson 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 Edward D. Lipson. Edward D. Lipson 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.
Mandel, James A., et al.. (2009). Computerized method for nonrigid MR-to-PET breast-image registration. Computers in Biology and Medicine. 40(1). 37–53. 21 indexed citations
2.
Nesterets, Yakov I., Timur E. Gureyev, A. W. Stevenson, et al.. (2008). Soft tissue small avascular tumor imaging with x-ray phase-contrast micro-CT in-line holography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6913. 69133Z–69133Z. 6 indexed citations
3.
Kincaid, Russell, Andrzej Król, S. Fourmaux, et al.. (2008). Development of ultrafast laser-based x-ray in-vivo phase-contrast micro-CT beamline for biomedical applications at Advanced Laser Light Source (ALLS). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7078. 707818–707818. 3 indexed citations
4.
Mandel, James A., et al.. (2006). MRI/PET nonrigid breast-image registration using skin fiducial markers. Physica Medica. 21. 39–43. 19 indexed citations
5.
6.
Król, Andrzej, J. C. Kieffer, John Nees, et al.. (2003). Development of novel ultrafast-laser-based micro-CT system for small-animal imaging. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). 1993–1996 Vol.3. 3 indexed citations
7.
Lipson, Edward D., et al.. (1999). Universal interfacing system for interactive technologies in telemedicine, disabilities, rehabilitation, and education.. PubMed. 62. 205–11. 2 indexed citations
8.
Xiong, Yuqing, et al.. (1993). ACTION SPECTRUM FOR SUBLIMINAL LIGHT CONTROL OF ADAPTATION IN Phycomyces PHOTOTROPISM. Photochemistry and Photobiology. 58(3). 425–431. 9 indexed citations
9.
Lipson, Edward D., et al.. (1992). EFFECT OF CALCIUM ON DARK ADAPTATION IN Phycornyces PHOTOTROPISM. Photochemistry and Photobiology. 56(5). 667–675. 4 indexed citations
10.
Lipson, Edward D., et al.. (1992). Growth Rate Fluctuations in Phycomyces Sporangiophores. PLANT PHYSIOLOGY. 99(4). 1376–1380. 7 indexed citations
11.
Lipson, Edward D., et al.. (1989). Electrophoretic analysis of proteins fromPhycomyces mutants with abnormal tropisms. Biochemical Genetics. 27(5-6). 355–365. 1 indexed citations
12.
Pratap, Promod R., et al.. (1989). System analysis of Phycomyces light-growth response: madC, madG, and madH mutants. Biophysical Journal. 55(3). 519–526. 4 indexed citations
13.
Galland, Paul, et al.. (1989). High-and low-intensity photosystems in Phycomyces phototropism: Effects of mutations in genes madA, madB, and madC. Planta. 177(4). 547–553. 6 indexed citations
14.
Lipson, Edward D. & Promod R. Pratap. (1988). System analysis ofPhycomyces light-growth response with Gaussian white noise and sum-of-sinusoids test stimuli. Annals of Biomedical Engineering. 16(1). 95–109. 3 indexed citations
15.
Horwitz, Benjamin A., et al.. (1986). Modified Light-Induced Absorbance Changes in dim Y Photoresponse Mutants of Trichoderma. PLANT PHYSIOLOGY. 81(3). 726–730. 8 indexed citations
16.
Galland, Paul, et al.. (1985). Phycomyces: Phototropism and light-growth response to pulse stimuli. Planta. 165(4). 538–547. 19 indexed citations
17.
Galland, Paul, A.S. Pandya, & Edward D. Lipson. (1984). Wavelength dependence of dark adaptation in Phycomyces phototropism.. The Journal of General Physiology. 84(5). 739–751. 27 indexed citations
18.
Lipson, Edward D. & Stephan Block. (1983). Light and dark adaptation in Phycomyces light-growth response.. The Journal of General Physiology. 81(6). 845–859. 24 indexed citations
19.
Lipson, Edward D., et al.. (1983). Meiotic dysgenesis associated with behavioral mutants of Phycomyces. Current Genetics. 7(4). 313–322. 8 indexed citations
20.
Foster, Kenneth W. & Edward D. Lipson. (1973). The Light Growth Response of Phycomyces . The Journal of General Physiology. 62(5). 590–617. 54 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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