Jan Nečas

400 citations
32 papers · 300 · h-index 9

Impact in

Papers in

    • Mineral Processing and Grinding 13
    • Belt Conveyor Systems Engineering 7
    • Mechanical and Thermal Properties Analysis 3
    • Granular flow and fluidized beds 16
    • Cyclone Separators and Fluid Dynamics 6

Jan Nečas

30 papers receiving 291 citations

Peers

Jan Nečas
Comparison fields: 5 of 58
  • Computational Mechanics 160
  • Mechanical Engineering 144
  • Civil and Structural Engineering 77
  • Automotive Engineering 23
  • Management, Monitoring, Policy and Law 20
Replace Jiří Rozbroj with:
Jiří Rozbroj Czechia
Marutiram Kaza India
Haiyang Zhao China
István Oldal Hungary
Zhiguang Zhou China
Lyazid Bouhala Luxembourg
Zhoutuo Tan China
Derek Berry United States
Zhiyong Yang China
Jan Nečas relative to Jiří Rozbroj Czechia Jiří Rozbroj's profile →
Citations per field
00.5×
Jiří Rozbroj · 1×
Citations per year

Countries citing papers authored by Jan Nečas

Since Specialization
Citations

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

Fields of papers citing papers by Jan Nečas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jan Nečas, 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 Jan Nečas Line = papers co-authored together Jan Nečas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201847
3 202032
4 201820
5 202317
6 201913
7 201711
8 202211
9 202110
10 20178
11 20198
12 20248
13 20198
14 20148
15 20126
16 20175
17 20224
18 20223
19 20173
20 20193

About Jan Nečas

Jan Nečas is a scholar working on Mechanical Engineering, Computational Mechanics, Control and Systems Engineering, Materials Chemistry and Civil and Structural Engineering, having authored 32 papers that have together received 300 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (16 papers), Mineral Processing and Grinding (13 papers), Belt Conveyor Systems Engineering (7 papers), Cyclone Separators and Fluid Dynamics (6 papers), Thermochemical Biomass Conversion Processes (3 papers), Biofuel production and bioconversion (3 papers), Mechanical and Thermal Properties Analysis (3 papers) and Particle Dynamics in Fluid Flows (2 papers). The work is most often cited by research in Computational Mechanics (160 citations), Mechanical Engineering (144 citations), Civil and Structural Engineering (77 citations), Automotive Engineering (23 citations) and Management, Monitoring, Policy and Law (20 citations). Jan Nečas has collaborated with scholars based in Czechia, Spain and United States. Frequent co-authors include Jiří Zegzulka, Jiří Rozbroj, Lucie Jezerská, Álvaro Ramírez-Gómez, Raquel Pérez-Orozco, David Patiño, Vojtěch Kupka, Michal Otyepka, Gabriel Fedorko and Vieroslav Molnár. Their work appears in journals such as Scientific Reports, Process Safety and Environmental Protection, Energies, Chemical Engineering & Technology and Metals.

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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