D. Popović

841 citations
51 papers · 661 · h-index 12

Impact in

Papers in

D. Popović

46 papers receiving 605 citations

Peers

D. Popović
Comparison fields: 5 of 94
  • Filtration and Separation 134
  • Food Science 327
  • Fluid Flow and Transfer Processes 72
  • Mechanics of Materials 104
  • Biochemistry 22
Replace Kamyar Movagharnejad with:
Kamyar Movagharnejad Iran
A. Berna Spain
S. Espinosa Argentina
Clive Mumford United Kingdom
Luiz Stragevitch Brazil
Papa M. Ndiaye Brazil
César Benedito Batistella Brazil
Jozef Markoš Slovakia
N.J.M. Kuipers Netherlands
S. Bruin Netherlands
D. Popović relative to Kamyar Movagharnejad Iran Kamyar Movagharnejad's profile →
Citations per field
00.5×1.5×
Kamyar Movagharnejad · 1×
Citations per year

Countries citing papers authored by D. Popović

Since Specialization
Citations

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

Fields of papers citing papers by D. Popović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002315
2 199828
3 201124
4 200223
5 201123
6 200122
7 200220
8 201218
9 201316
10 200413
11 201412
12 200312
13 201811
14 20169
15 20199
16 20208
17 19957
18 20077
19 20036
20 20026

About D. Popović

D. Popović is a scholar working on Filtration and Separation, Artificial Intelligence, Materials Chemistry, Control and Systems Engineering and Fluid Flow and Transfer Processes, having authored 51 papers that have together received 661 indexed citations. Recurring topics across this work include Chemical and Physical Properties in Aqueous Solutions (16 papers), Neural Networks and Applications (14 papers), Thermodynamic properties of mixtures (9 papers), Fuzzy Logic and Control Systems (7 papers), Chemical Thermodynamics and Molecular Structure (5 papers), Fault Detection and Control Systems (5 papers), Crystallization and Solubility Studies (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Filtration and Separation (134 citations), Food Science (327 citations), Fluid Flow and Transfer Processes (72 citations), Mechanics of Materials (104 citations) and Biochemistry (22 citations). D. Popović has collaborated with scholars based in Germany, Serbia and United States. Frequent co-authors include P. C. Panchariya, Amita Sharma, Joseph A. Rard, Zoran Miladinović, Milica Todorović, Milorad Zrilić, Dragan Kukolj, Filip Kulić, G. Schulz‐Ekloff and Ferenc Pastor. Their work appears in journals such as The Journal of Chemical Thermodynamics, Drying Technology, Journal of Molecular Liquids, Journal of Chemical & Engineering Data and ISA Transactions.

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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