Milko Novič

791 citations
42 papers · 661 indexed · h-index 17

Impact in

Papers in

Milko Novič

42 papers receiving 638 citations

Peers

Milko Novič
Comparison fields: 5 of 82
  • Analytical Chemistry 238
  • Bioengineering 121
  • Electrochemistry 105
  • Spectroscopy 214
  • Health, Toxicology and Mutagenesis 98
Replace Gabriela A. Ibáñez with:
Gabriela A. Ibáñez Argentina
Manuel Silva Spain
A. Izquierdo Spain
Dai Woon Lee South Korea
Mitsuhiko Taga Japan
Peter N. Keliher United States
Gwi Suk Heo South Korea
Marcello Marchetti Italy
Anders Cedergren Sweden
Güler Somer Türkiye
Milko Novič relative to Gabriela A. Ibáñez Argentina Gabriela A. Ibáñez's profile →
Citations per field
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Gabriela A. Ibáñez · 1×
Citations per year

Countries citing papers authored by Milko Novič

Since Specialization
Citations

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

Fields of papers citing papers by Milko Novič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 20099
3 20083
4 200628
5 200427
6 200413
7 20034
8 200310
9
Use of Artificial Neural Networks for Retention Modelling in Ion Chromatography
200212
10 20026
11 200231
12 200111
13 200136
14 200014
15 200017
16 199936
17 199811
18 199716
19 19976
20 19966

About Milko Novič

Milko Novič is a scholar working on Bioengineering, Electrochemistry, Analytical Chemistry, Spectroscopy and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 661 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (16 papers), Analytical Chemistry and Chromatography (15 papers), Electrochemical Analysis and Applications (11 papers), Advanced Chemical Sensor Technologies (9 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers), Analytical chemistry methods development (7 papers), Electrochemical sensors and biosensors (5 papers) and Chromatography in Natural Products (5 papers). The work is most often cited by research in Analytical Chemistry (238 citations), Bioengineering (121 citations), Electrochemistry (105 citations), Spectroscopy (214 citations) and Health, Toxicology and Mutagenesis (98 citations). Milko Novič has collaborated with scholars based in Slovenia, Austria and Italy. Frequent co-authors include Mladen Franko, Boris Pihlar, V. Hudnik, Paul R. Haddad, Walter Goessler, Marjan Veber, Marjan Guček, Matevž Dular, Miroslav Kovačević and Željko Debeljak. Their work appears in journals such as Journal of Chromatography A, Analytica Chimica Acta, Analytical and Bioanalytical Chemistry, SAR and QSAR in environmental research and Electrophoresis.

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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