A.I. Liapis

4.7k total citations
122 papers, 3.9k citations indexed

About

A.I. Liapis is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, A.I. Liapis has authored 122 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Biomedical Engineering, 50 papers in Molecular Biology and 50 papers in Spectroscopy. Recurrent topics in A.I. Liapis's work include Protein purification and stability (50 papers), Analytical Chemistry and Chromatography (48 papers) and Microfluidic and Capillary Electrophoresis Applications (46 papers). A.I. Liapis is often cited by papers focused on Protein purification and stability (50 papers), Analytical Chemistry and Chromatography (48 papers) and Microfluidic and Capillary Electrophoresis Applications (46 papers). A.I. Liapis collaborates with scholars based in United States, Germany and United Kingdom. A.I. Liapis's co-authors include R. Bruttini, J.J Meyers, Brian A. Grimes, O. K. Crosser, Mark A. McCoy, Hasan Sadıkoğlu, D.W.T. Rippin, Paul Sheehan, Jingjing Wang and C. D. Holland and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of The Electrochemical Society.

In The Last Decade

A.I. Liapis

122 papers receiving 3.7k citations

Peers

A.I. Liapis
Comparison fields: 5 of 129
  • Molecular Biology 1.6k
  • Biomedical Engineering 1.5k
  • Spectroscopy 1.3k
  • Mechanics of Materials 725
  • Food Science 611
Peter York United Kingdom
P. York United Kingdom
Chris D. Rielly United Kingdom
Walther Burchard Germany
Frederico W. Tavares Brazil
Chieu D. Tran United States
Chi Bun Ching Singapore
Boris Y. Shekunov United Kingdom
Antonello Barresi Italy
Gabriele Sadowski Germany
Peter York United Kingdom View profile →
Citations per field, relative to A.I. Liapis
A.I. Liapis · 1×
Citations per year, relative to A.I. Liapis
A.I. Liapis · 1×

Countries citing papers authored by A.I. Liapis

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Liapis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Liapis. 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 A.I. Liapis. The network helps show where A.I. Liapis may publish in the future.

Co-authorship network of co-authors of A.I. Liapis

This figure shows the co-authorship network connecting the top 25 collaborators of A.I. Liapis. A scholar is included among the top collaborators of A.I. Liapis 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 A.I. Liapis. A.I. Liapis 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
# Work Indexed citations
1 2
2 13
3 14
4 16
5 19
6 28
7 9
8 61
9 157
10 15
11 116
12 60
13 39
14 23
15 8
16 48
17
Fixed bed sorption with recycle. III: Consecutive reversible reactions
3
18
Computer methods for solving dynamic separation problems.
95
19
Ethanol separation from water in a two-stage adsorption process
18
20 20

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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