Pradeep Perera

16 papers receiving 498 citations

Peers

Pradeep Perera
Comparison fields: 5 of 78
  • Filtration and Separation 38
  • Biophysics 62
  • Fluid Flow and Transfer Processes 51
  • Atomic and Molecular Physics, and Optics 251
  • Analytical Chemistry 73
Replace Jill Tomlinson-Phillips with:
Jill Tomlinson-Phillips United States
Yoshihiro Miyauchi Japan
James J. Towey United Kingdom
Aneta Panuszko Poland
E. Geladé Netherlands
Michael W. Ducey United States
Jean-Sébastien Samson Germany
B. Ratajska‐Gadomska Poland
Michael L. Klossek Germany
C. M. C. Gambi Italy
Pradeep Perera relative to Jill Tomlinson-Phillips United States Jill Tomlinson-Phillips's profile →
Citations per field
00.5×3.8×
Jill Tomlinson-Phillips · 1×
Citations per year

Countries citing papers authored by Pradeep Perera

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pradeep Perera, 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 Pradeep Perera Line = papers co-authored together Pradeep Perera links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2009158
2 200994
3 200878
4 200968
5 201121
6 201121
7 201818
8 200911
9 20088
10 20127
11 20137
12 20123
13 20153
14 20203
15 20102
16 20251

About Pradeep Perera

Pradeep Perera is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics and Biophysics, having authored 16 papers that have together received 503 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advancements in Photolithography Techniques (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Plant Gene Expression Analysis (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Filtration and Separation (38 citations), Biophysics (62 citations), Fluid Flow and Transfer Processes (51 citations), Atomic and Molecular Physics, and Optics (251 citations) and Analytical Chemistry (73 citations). Pradeep Perera has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dor Ben‐Amotz, Eric J. Sundstrom, K. Rebecca Fega, Jill Tomlinson-Phillips, C. P. Lawrence, P. James Schuck, Paul D. Adams, Martin Schmidt, Vincent L. Chiang and Adam Schwartzberg. Their work appears in journals such as The Journal of Physical Chemistry B, Microchemical Journal, Bioconjugate Chemistry, Proceedings of the National Academy of Sciences and Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena.

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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