Roman Kittl

2.3k citations
33 papers · 1.8k indexed · h-index 23

Impact in

  • Biotechnology top 0.5%
    • Enzyme Production and Characterization
    • Microbial Metabolism and Applications
    • Enzyme-mediated dye degradation

Papers in

    • Microbial Metabolism and Applications 7
    • Enzyme Production and Characterization 5
    • Enzyme-mediated dye degradation 18

Roman Kittl

33 papers receiving 1.8k citations

Peers

Roman Kittl
Comparison fields: 5 of 87
  • Biotechnology 729
  • Plant Science 837
  • Biomedical Engineering 879
  • Electrochemistry 96
  • Molecular Biology 869
Replace Yazhong Xiao with:
Yazhong Xiao China
Daniel Kracher Austria
Martina Andberg Finland
Kristian B. R. M. Krogh Denmark
Martin Schülein Denmark
Jane W. Agger Denmark
Bastien Bissaro France
Christian Gaudin France
Joel R. Cherry United States
Raushan Kumar Singh South Korea
Roman Kittl relative to Yazhong Xiao China Yazhong Xiao's profile →
Citations per field
00.5×2.9×
Yazhong Xiao · 1×
Citations per year

Countries citing papers authored by Roman Kittl

Since Specialization
Citations

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

Fields of papers citing papers by Roman Kittl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201733
3 201680
4 20156
5 201528
6 201517
7 201431
8 201373
9 201316
10 2013270
11 201215
12 201166
13 201162
14 201129
15 201039
16 201011
17 200932
18 200839
19 200729
20 200750

About Roman Kittl

Roman Kittl is a scholar working on Biotechnology, Plant Science, Nutrition and Dietetics, Bioengineering and Electrochemistry, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (18 papers), Enzyme Catalysis and Immobilization (9 papers), Biofuel production and bioconversion (8 papers), Microbial Metabolism and Applications (7 papers), Electrochemical sensors and biosensors (6 papers), Probiotics and Fermented Foods (5 papers), Enzyme Production and Characterization (5 papers) and Microbial Metabolites in Food Biotechnology (4 papers). The work is most often cited by research in Biotechnology (729 citations), Plant Science (837 citations), Biomedical Engineering (879 citations), Electrochemistry (96 citations) and Molecular Biology (869 citations). Roman Kittl has collaborated with scholars based in Austria, Sweden and Russia. Frequent co-authors include Roland Ludwig, Dietmar Haltrich, Daniel Kracher, Christoph Sygmund, Daniel Burgstaller, Vincent G. H. Eijsink, Thu‐Ha Nguyen, Clemens Peterbauer, Christina Divne and Bjørge Westereng. Their work appears in journals such as Journal of Biotechnology, Applied Microbiology and Biotechnology, Carbohydrate Research, Biotechnology for Biofuels and Journal of Agricultural and Food Chemistry.

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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