V. Krepl

468 citations
26 papers · 350 · h-index 9

Impact in

Papers in

V. Krepl

23 papers receiving 340 citations

Peers

V. Krepl
Comparison fields: 5 of 80
  • Energy Engineering and Power Technology 12
  • Biomedical Engineering 166
  • Fuel Technology 3
  • Pollution 33
  • Industrial and Manufacturing Engineering 24
Replace Stephen Doliente with:
Stephen Doliente Philippines
Paweł Stępień Poland
Md Arafat Hossain Malaysia
Syaifuddin Yana Indonesia
K. Maniatis Belgium
Muhammad Nizar Indonesia
Fabian Schipfer Austria
Vladimír Hönig Czechia
Rafael Silva Capaz Brazil
Zhao Ting China
V. Krepl relative to Stephen Doliente Philippines Stephen Doliente's profile →
Citations per field
00.5×10×13.5×
Stephen Doliente · 1×
Citations per year

Countries citing papers authored by V. Krepl

Since Specialization
Citations

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

Fields of papers citing papers by V. Krepl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside V. Krepl, 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 V. Krepl Line = papers co-authored together V. Krepl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018174
2 200927
3 202021
4 201919
5 201815
6 201913
7
Animal dung as a source of energy in remote areas of Indian Himalayas.
201010
8 20189
9
Importance of date palms as a source of nutrition.
20108
10 20218
11 20215
12 20195
13 20175
14 20195
15 20255
16 20244
17 20084
18 20093
19 20222
20 20142

About V. Krepl

V. Krepl is a scholar working on Biomedical Engineering, Sociology and Political Science, Economics and Econometrics, Electrical and Electronic Engineering and Strategy and Management, having authored 26 papers that have together received 350 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (7 papers), Biodiesel Production and Applications (2 papers), Transboundary Water Resource Management (2 papers), Corporate Identity and Reputation (2 papers), Date Palm Research Studies (2 papers), Energy and Environment Impacts (2 papers), Forest Biomass Utilization and Management (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (12 citations), Biomedical Engineering (166 citations), Fuel Technology (3 citations), Pollution (33 citations) and Industrial and Manufacturing Engineering (24 citations). V. Krepl has collaborated with scholars based in Czechia, New Zealand and South Africa. Frequent co-authors include Tatiana Ivanova, Ali Akhtar, Zdeněk Müller, Josef Tlustý, Abbas Mehrabadi, Ľuboš Smutka, Ibrahim Ahmad, Husam I. Shaheen, Petr Kment and František Kumhála. Their work appears in journals such as Energies, Agricultural Economics (Zemědělská ekonomika), Precision Agriculture, Biofuels and Applied Sciences.

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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