P. Svejda

41 papers receiving 583 citations

Peers

P. Svejda
Comparison fields: 5 of 61
  • Fluid Flow and Transfer Processes 331
  • Filtration and Separation 37
  • Organic Chemistry 304
  • Catalysis 69
  • Biomedical Engineering 323
Replace K.W. Morcom with:
K.W. Morcom United Kingdom
J. Jen Germany
R. Hargreaves United Kingdom
Manik Kumer Ghosh South Korea
George A. Vidulich United States
P. P. S. Saluja Canada
Yann Danten France
Jirō Ōsugi Japan
Margret Månsson Sweden
F. L. Swinton United Kingdom
P. Svejda relative to K.W. Morcom United Kingdom K.W. Morcom's profile →
Citations per field
00.5×7.5×
K.W. Morcom · 1×
Citations per year

Countries citing papers authored by P. Svejda

Since Specialization
Citations

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

Fields of papers citing papers by P. Svejda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside P. Svejda, 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 P. Svejda Line = papers co-authored together P. Svejda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198566
2 198343
3 197841
4 199936
5 197833
6 199030
7 199329
8 198723
9 197021
10 198819
11 200218
12 198417
13 199317
14 198314
15 196814
16 198612
17 197812
18 199112
19 197511
20 200111

About P. Svejda

P. Svejda is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Organic Chemistry, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 607 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (27 papers), Phase Equilibria and Thermodynamics (22 papers), Chemical Thermodynamics and Molecular Structure (20 papers), Photochemistry and Electron Transfer Studies (7 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Electron Spin Resonance Studies (4 papers), Catalysis and Oxidation Reactions (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (331 citations), Filtration and Separation (37 citations), Organic Chemistry (304 citations), Catalysis (69 citations) and Biomedical Engineering (323 citations). P. Svejda has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Frank Köhler, M. Aslam Siddiqi, August H. Maki, Richard R. Anderson, Colin L. Young, David H. Volman, J. Robert Huber, Richard J. Sadus, R. Haul and R. Vogelsang. Their work appears in journals such as Journal of Chemical & Engineering Data, Berichte der Bunsengesellschaft für physikalische Chemie, Fluid Phase Equilibria, The Journal of Physical Chemistry and Journal of the American Chemical Society.

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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