Nina Laszczynski

1.1k citations
21 papers · 1.0k · h-index 14

Impact in

Papers in

Nina Laszczynski

20 papers receiving 1.0k citations

Peers

Nina Laszczynski
Comparison fields: 5 of 40
  • Automotive Engineering 510
  • Electrical and Electronic Engineering 971
  • Electronic, Optical and Magnetic Materials 268
  • Mechanical Engineering 183
  • Catalysis 25
Replace Maral Hekmatfar with:
Maral Hekmatfar Germany
Zhenjie Cheng China
Weibin Ye China
Seungdon Choi South Korea
Zouina Karkar Canada
Richard Klöpsch Germany
Yuliya Shilina Israel
Jae‐won Lee South Korea
Mengchuang Liu China
Ying‐de Huang China
Nina Laszczynski relative to Maral Hekmatfar Germany Maral Hekmatfar's profile →
Citations per field
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Maral Hekmatfar · 1×
Citations per year

Countries citing papers authored by Nina Laszczynski

Since Specialization
Citations

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

Fields of papers citing papers by Nina Laszczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016271
2 2013163
3 2019115
4 2013111
5 201658
6 201639
7 201539
8 201634
9 201934
10 202029
11 201326
12 201524
13 201922
14 201814
15 201610
16 20148
17 20217
18 20206
19 20216
20 20205

About Nina Laszczynski

Nina Laszczynski is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Materials Chemistry, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advancements in Battery Materials (19 papers), Advanced Battery Materials and Technologies (16 papers), Advanced Battery Technologies Research (10 papers), Supercapacitor Materials and Fabrication (5 papers), Extraction and Separation Processes (3 papers), Recycling and Waste Management Techniques (1 paper), ZnO doping and properties (1 paper) and Chemical and Physical Properties in Aqueous Solutions (1 paper). The work is most often cited by research in Automotive Engineering (510 citations), Electrical and Electronic Engineering (971 citations), Electronic, Optical and Magnetic Materials (268 citations), Mechanical Engineering (183 citations) and Catalysis (25 citations). Nina Laszczynski has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Stefano Passerini, Brett L. Lucht, Xin He, Jie Li, Jun Wang, Elie Paillard, Jan von Zamory, Guk‐Tae Kim, Hubert A. Gasteiger and Sophie Solchenbach. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Power Sources, ChemElectroChem, Journal of Materials Chemistry A and The Journal of Physical Chemistry Letters.

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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