Libor Štěpanec

10 papers receiving 449 citations

Libor Štěpanec's Hit Papers

Applications of machine learning in thermochemical conversion of biomass-A review 2022 · 156 citations
1560+1+2Years since publication50100150

Peers

Libor Štěpanec
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 69
  • Energy Engineering and Power Technology 24
  • Pollution 71
  • Building and Construction 81
  • Fluid Flow and Transfer Processes 35
Replace Fazril Ideris with:
Fazril Ideris Malaysia
Mauro Zampilli Italy
Khaled Rawajfeh Jordan
Rajneesh Kaushal India
Lara Carvalho Sweden
Bimal Das India
Youzhou Jiao China
Jaroslav Oral Czechia
Małgorzata Sieradzka Poland
Rickwinder Singh India
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Citations per field
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Citations per year

Countries citing papers authored by Libor Štěpanec

Since Specialization
Citations

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

Fields of papers citing papers by Libor Štěpanec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Applications of machine learning in thermochemical conversion of biomass-A review
Hit paper breakdown →
2022156
2 2022118
3 202292
4 202263
5 202410
6 20237
7 20226
8 20131
9 20191
10 20231
11 20250
12 20260
13 20250

About Libor Štěpanec

Libor Štěpanec is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Mechanics of Materials, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 13 papers that have together received 455 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (4 papers), Hybrid Renewable Energy Systems (3 papers), Oil and Gas Production Techniques (2 papers), Anaerobic Digestion and Biogas Production (2 papers), Cavitation Phenomena in Pumps (2 papers), Catalysis and Hydrodesulfurization Studies (1 paper), Water-Energy-Food Nexus Studies (1 paper) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (69 citations), Energy Engineering and Power Technology (24 citations), Pollution (71 citations), Building and Construction (81 citations) and Fluid Flow and Transfer Processes (35 citations). Libor Štěpanec has collaborated with scholars based in Czechia, Pakistan and Saudi Arabia. Frequent co-authors include Dagmar Juchelková, Salman Raza Naqvi, Wasif Farooq, Muhammad Nouman Aslam Khan, Zahid Ullah, Syed Ali Ammar Taqvi, A.E. Atabani, Muhammad Taqi Mehran, Muzammil Khan and Imtiaz Ali. Their work appears in journals such as Wiley Interdisciplinary Reviews Energy and Environment, Energy, Chemical Engineering Journal Advances, Energies and Fuel.

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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