Robert E. Parks

267 papers receiving 6.2k citations

Peers

Robert E. Parks
Comparison fields: 5 of 162
  • Physiology 1.7k
  • Molecular Biology 4.1k
  • Infectious Diseases 703
  • Computer Vision and Pattern Recognition 636
  • Clinical Biochemistry 212
Replace Fei Long with:
Fei Long United Kingdom
François Ghiringhelli France
John R. Riordan United States
Brian Herman United States
Frederick F. Becker United States
Julian J. Lum Canada
Wuxian Shi United States
Zhe Chen United States
Guo Chen China
Anton Simeonov United States
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Countries citing papers authored by Robert E. Parks

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Parks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert E. Parks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert E. Parks Line = papers co-authored together Robert E. Parks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 289 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977335
2 2010214
3 1975189
4 1966169
5 1990163
6 1975152
7 1965144
8 1968142
9 1978116
10 1978108
11 197897
12 198092
13 196989
14 197785
15 196885
16 196484
17 197383
18 198279
19 198379
20 198171

About Robert E. Parks

Robert E. Parks is a scholar working on Molecular Biology, Physiology, Mechanical Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 289 papers that have together received 6.8k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (84 papers), Adenosine and Purinergic Signaling (61 papers), Advanced Measurement and Metrology Techniques (51 papers), Optical measurement and interference techniques (45 papers), Surface Roughness and Optical Measurements (30 papers), Adaptive optics and wavefront sensing (25 papers), Advanced Surface Polishing Techniques (20 papers) and HIV/AIDS drug development and treatment (19 papers). The work is most often cited by research in Physiology (1.7k citations), Molecular Biology (4.1k citations), Infectious Diseases (703 citations), Computer Vision and Pattern Recognition (636 citations) and Clinical Biochemistry (212 citations). Robert E. Parks has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include R. P. Agarwal, Ram P. Agarwal, Sungman Cha, Johanna D. Stoeckler, Kailash C. Agarwal, Nabeeh Mourad, Thomas Spector, Khushboo Agarwal, Phyllis R. Brown and James H. Burge. Their work appears in journals such as Biochemical Pharmacology, Journal of Biological Chemistry, Optical Engineering, Biochemistry and Optics and Photonics News.

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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