Eva Tyteca

733 citations
22 papers · 634 · h-index 16

Impact in

Papers in

    • Analytical Chemistry and Chromatography 18
    • Microfluidic and Capillary Electrophoresis Applications 9
    • Advanced Chemical Sensor Technologies 2

Eva Tyteca

22 papers receiving 619 citations

Peers

Eva Tyteca
Comparison fields: 5 of 75
  • Spectroscopy 420
  • Analytical Chemistry 242
  • Insect Science 113
  • Computational Theory and Mathematics 79
  • Biomedical Engineering 192
Replace Diego Bohoyo Gil with:
Diego Bohoyo Gil Spain
Marijana Ačanski Serbia
Behrooz Zekavat United States
Paul Richert Switzerland
Franck Giacomoni France
Rujian He China
Antônio Luiz Pires Valente Brazil
Raquel Pérez‐Míguez Spain
Thorsten Tybussek Germany
Tito Damiani Italy
Eva Tyteca relative to Diego Bohoyo Gil Spain Diego Bohoyo Gil's profile →
Citations per field
00.5×10×15×19.8×
Diego Bohoyo Gil · 1×
Citations per year

Countries citing papers authored by Eva Tyteca

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tyteca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 201464
3 201439
4 201739
5 201536
6 201635
7 201235
8 201633
9 201429
10 201628
11 201927
12 201627
13 201721
14 201421
15 201716
16 201515
17 201413
18 201712
19 201511
20 20158

About Eva Tyteca

Eva Tyteca is a scholar working on Spectroscopy, Biomedical Engineering, Molecular Biology, Analytical Chemistry and Computational Theory and Mathematics, having authored 22 papers that have together received 634 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (18 papers), Protein purification and stability (9 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers), Chromatography in Natural Products (8 papers), Computational Drug Discovery Methods (4 papers), Advanced Chemical Sensor Technologies (2 papers), Crystallization and Solubility Studies (2 papers) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Spectroscopy (420 citations), Analytical Chemistry (242 citations), Insect Science (113 citations), Computational Theory and Mathematics (79 citations) and Biomedical Engineering (192 citations). Eva Tyteca has collaborated with scholars based in Belgium, United Kingdom and Switzerland. Frequent co-authors include Gert Desmet, Davy Guillarme, Serge Rudaz, Paul R. Haddad, Sebastiaan Eeltink, Aurélie Periat, Soo Hyun Park, Ruth Amos, Roman Szücs and Rudy Caparros Megido. Their work appears in journals such as Journal of Chromatography A, Journal of Separation Science, Journal of Chemical Information and Modeling, Chromatographia and Food Research International.

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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