Aleksander Gurlo

239 papers receiving 10.0k citations

Aleksander Gurlo's Hit Papers

Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices 2020 · 337 citations
3370+6+13Years since publication200400600

Peers

Aleksander Gurlo
Comparison fields: 5 of 145
  • Bioengineering 1.7k
  • Catalysis 966
  • Materials Chemistry 5.3k
  • Polymers and Plastics 1.4k
  • Ceramics and Composites 554
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Countries citing papers authored by Aleksander Gurlo

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Gurlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Freeze Casting: From Low‐Dimensional Building Blocks to Aligned Porous Structures—A Review of Novel Materials, Methods, and Applications
Hit paper breakdown →
2020676
2
Interplay between O2 and SnO2: Oxygen Ionosorption and Spectroscopic Evidence for Adsorbed Oxygen
Hit paper breakdown →
2006470
3 2010385
4 2007347
5
Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
Hit paper breakdown →
2020337
6 2005333
7 1998296
8 2005274
9 1997216
10 2001181
11 2004165
12 2019163
13 2013157
14 2006152
15 2006140
16 2020134
17 2004130
18 1997128
19 2023115
20 2003111

About Aleksander Gurlo

Aleksander Gurlo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Catalysis and Ceramics and Composites, having authored 244 papers that have together received 10.1k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (62 papers), Catalytic Processes in Materials Science (51 papers), ZnO doping and properties (33 papers), Catalysis and Oxidation Reactions (28 papers), Advanced ceramic materials synthesis (28 papers), Catalysts for Methane Reforming (26 papers), Transition Metal Oxide Nanomaterials (26 papers) and Analytical Chemistry and Sensors (25 papers). The work is most often cited by research in Bioengineering (1.7k citations), Catalysis (966 citations), Materials Chemistry (5.3k citations), Polymers and Plastics (1.4k citations) and Ceramics and Composites (554 citations). Aleksander Gurlo has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Udo Weimar, Ralf Riedel, Nicolae Bârsan, Maged F. Bekheet, Dorian Hanaor, M. I. Ivanovskaya, Gaofeng Shao, Xiaodong Shen, T. Sahm and W. Göpel. Their work appears in journals such as Journal of the European Ceramic Society, Angewandte Chemie International Edition, Sensors and Actuators B Chemical, Dalton Transactions and Journal of Solid State 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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