Nina Marković

42 papers receiving 3.5k citations

Hit Papers

Surface science studies of model fuel cell electrocatalysts2002202620102018200250010001.5k

Peers

Nina Marković
Comparison fields: 5 of 94
  • Renewable Energy, Sustainability and the Environment 1.5k
  • Electrical and Electronic Engineering 1.5k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Materials Chemistry 1.2k
  • Condensed Matter Physics 928
Replace Ravishankar Sundararaman with:
Ravishankar Sundararaman United States
I. Riess Israel
Yu‐Tsun Shao United States
Daniel Weber Germany
Sung Sakong Germany
Su Ying Quek Singapore
Xuesen Wang Singapore
J. D. Brock United States
Sebastian Günther Germany
Raman Sankar Taiwan
Nina Marković relative to Ravishankar Sundararaman United States Ravishankar Sundararaman's profile →
Citations per field
00.5×5.3×
Ravishankar Sundararaman · 1×
Citations per year

Countries citing papers authored by Nina Marković

Since Specialization
Citations

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

Fields of papers citing papers by Nina Marković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Marković

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Marković. A scholar is included among the top collaborators of Nina Marković based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Marković. Nina Marković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 19
3 9
4 13
5 22
6 5
7 127
8 34
9 8
10 57
11 10
12 29
13 20
14 4
15 4
16
Two-state Dynamics in a Superconducting Persistent Current Qubit
1
17 281
18 32
19 89
20 93

About Nina Marković

Nina Marković is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electrochemistry, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (19 papers), Physics of Superconductivity and Magnetism (16 papers) and Graphene research and applications (6 papers). The work is most often cited by research in Electrochemistry (685 citations), Renewable Energy, Sustainability and the Environment (1.5k citations) and Condensed Matter Physics (928 citations). Nina Marković has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include A. M. Goldman, M. Tinkham, Chun Ning Lau, C. Christiansen, Marc Bockrath, Alexey Bezryadin, A. M. Mack, Christopher A. Merchant, A. M. Goldman and Stephen R. Diegelmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review 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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