Susan M. Mniszewski

1.9k citations
49 papers · 870 indexed · h-index 16
Topics
Quantum Computing Algorithms and Architecture (12 papers)Quantum and electron transport phenomena (9 papers)Quantum Information and Cryptography (9 papers)
Partner nations
United StatesSwedenItaly

In The Last Decade

Susan M. Mniszewski

47 papers receiving 832 citations

Peers

Susan M. Mniszewski
Comparison fields: 5 of 96
  • Artificial Intelligence 301
  • Computer Networks and Communications 134
  • Atomic and Molecular Physics, and Optics 130
  • Molecular Biology 115
  • Water Science and Technology 97
Replace Robert G. Belleman with:
Robert G. Belleman Netherlands
David McLaren Australia
Jan Westerholm Finland
Stefan Behnel Germany
Craig Citro United States
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Giuseppe Buttazzo Italy
Anna T. Ławniczak Canada
Lorena A. Barba United States
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Susan M. Mniszewski relative to Robert G. Belleman Netherlands Robert G. Belleman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Susan M. Mniszewski

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Mniszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Mniszewski. 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 Susan M. Mniszewski. The network helps show where Susan M. Mniszewski may publish in the future.

Co-authorship network of co-authors of Susan M. Mniszewski

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Mniszewski. A scholar is included among the top collaborators of Susan M. Mniszewski 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 Susan M. Mniszewski. Susan M. Mniszewski 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 0
2 4
3 1
4 18
5 33
6 3
7 8
8 6
9 15
10 49
11 8
12 11
13 6
14 32
15 29
16 45
17 39
18
Parallelization of a Fully-Distributed Hydrologic Model using Sub-basin Partitioning
7
19 62
20 2

About Susan M. Mniszewski

Susan M. Mniszewski is a scholar working on Computational Mathematics, Hardware and Architecture and Modeling and Simulation, having authored 49 papers that have together received 870 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum and electron transport phenomena (9 papers) and Quantum Information and Cryptography (9 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Hardware and Architecture (85 citations) and Artificial Intelligence (301 citations). Susan M. Mniszewski has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Christian F. A. Negre, Patricia Fasel, Cliff Joslyn, Phillip D. Stroud, Andy Fulmer, Anders M. N. Niklasson, V. Y. Ivanov, Everett P. Springer, Enrique R. Vivoni and Rafael L. Bras. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Bioinformatics.

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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