Zoltán K. Nagy

14.1k citations
324 papers · 10.4k indexed · 1 hit paper · h-index 53

Zoltán K. Nagy

299 papers receiving 10.1k citations

Hit Papers

Real-time optimization and nonlinear model predictive con...4992002202620102018100200300400

Peers

Zoltán K. Nagy
Comparison fields: 5 of 180
  • Filtration and Separation 689
  • Control and Systems Engineering 3.0k
  • Pharmaceutical Science 754
  • Materials Chemistry 5.7k
  • Spectroscopy 1.4k
Replace Richard D. Braatz with:
Richard D. Braatz United States
Michael F. Doherty United States
Ernesto G. Birgin Brazil
Rafiqul Gani Denmark
Kai Sundmacher Germany
Volker Hessel Netherlands
William G. Hunter United States
Hans Hasse Germany
Johannes Khinast Austria
Doraiswami Ramkrishna United States
Zoltán K. Nagy relative to Richard D. Braatz United States Richard D. Braatz's profile →
Citations per field
00.5×1.5×
Richard D. Braatz · 1×
Citations per year

Countries citing papers authored by Zoltán K. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán K. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zoltán K. Nagy. 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 Zoltán K. Nagy. The network helps show where Zoltán K. Nagy may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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3 20249
4 20240
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8 20241
9 20234
10 20236
11 20233
12 202031
13 201930
14 201814
15 201830
16 20189
17 20179
18 201733
19 201625
20 2015101

About Zoltán K. Nagy

Zoltán K. Nagy is a scholar working on Filtration and Separation, Pharmaceutical Science and Control and Systems Engineering, having authored 324 papers that have together received 10.4k indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (181 papers), Advanced Control Systems Optimization (58 papers), Analytical Chemistry and Chromatography (55 papers), Process Optimization and Integration (47 papers), Innovative Microfluidic and Catalytic Techniques Innovation (45 papers), Fault Detection and Control Systems (43 papers), Drug Solubulity and Delivery Systems (28 papers) and Chemical and Physical Properties in Aqueous Solutions (27 papers). The work is most often cited by research in Filtration and Separation (689 citations), Control and Systems Engineering (3.0k citations) and Pharmaceutical Science (754 citations). Zoltán K. Nagy has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Richard D. Braatz, Chris D. Rielly, Ali N. Saleemi, Frank Allgöwer, Mahmoud Abdulwahed, Elena Simone, Rolf Findeisen, Botond Szilágyi, Yang Yang and Mitsuko Fujiwara. Their work appears in journals such as Crystal Growth & Design, Industrial & Engineering Chemistry Research, Chemical Engineering Science, Computers & Chemical Engineering and Organic Process Research & Development.

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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