P.R. Hania

32 papers receiving 1.1k citations

Peers

P.R. Hania
Comparison fields: 5 of 62
  • Biomaterials 217
  • Physical and Theoretical Chemistry 143
  • Materials Chemistry 693
  • Cellular and Molecular Neuroscience 226
  • Polymers and Plastics 149
Replace Joachim Seibt with:
Joachim Seibt Germany
Tatsumi Kimura Japan
Kaoru Iwai Japan
Marcus Böckmann Germany
Hikaru Sotome Japan
Dörthe M. Eisele United States
Victor V. Volkov United Kingdom
Martin D. Peeks United Kingdom
Ken Takazawa Japan
Youn Jue Bae United States
P.R. Hania relative to Joachim Seibt Germany Joachim Seibt's profile →
Citations per field
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Joachim Seibt · 1×
Citations per year

Countries citing papers authored by P.R. Hania

Since Specialization
Citations

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

Fields of papers citing papers by P.R. Hania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.R. Hania. 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 P.R. Hania. The network helps show where P.R. Hania may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005168
2 2004167
3 200290
4 200781
5 202072
6 200864
7 200562
8 200361
9 200754
10 201042
11 200340
12 200637
13 200530
14 200627
15 201225
16 200322
17 200622
18 201320
19 201414
20 201112

About P.R. Hania

P.R. Hania is a scholar working on Materials Chemistry, Aerospace Engineering, Polymers and Plastics, Physical and Theoretical Chemistry and Inorganic Chemistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (13 papers), Nuclear Materials and Properties (11 papers), Conducting polymers and applications (6 papers), Photochromic and Fluorescence Chemistry (6 papers), Organic Electronics and Photovoltaics (5 papers), Radioactive element chemistry and processing (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Biomaterials (217 citations), Physical and Theoretical Chemistry (143 citations), Materials Chemistry (693 citations), Cellular and Molecular Neuroscience (226 citations) and Polymers and Plastics (149 citations). P.R. Hania has collaborated with scholars based in Netherlands, Sweden and Germany. Frequent co-authors include Audrius Pugzlys, Koos Duppen, Ivan G. Scheblykin, Hans von Berlepsch, Ben L. Feringa, Linda N. Lucas, Catalin Didraga, Jan H. van Esch, Jaap J. D. de Jong and Jasper Knoester. Their work appears in journals such as Nuclear Engineering and Design, The Journal of Physical Chemistry B, Journal of Nuclear Materials, The Journal of Physical Chemistry A and Physical Chemistry Chemical Physics.

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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