Marcel Walter

790 citations
55 papers · 559 · h-index 14

Impact in

Papers in

Marcel Walter

50 papers receiving 556 citations

Peers

Marcel Walter
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 408
  • Electrical and Electronic Engineering 451
  • Hardware and Architecture 34
  • Artificial Intelligence 94
  • Atomic and Molecular Physics, and Optics 62
Replace Kunal Das with:
Kunal Das India
Jun‐Cheol Jeon South Korea
Saurabh Kotiyal United States
Heinz Riener Switzerland
Philipp Niemann Germany
Angshuman Khan India
Debesh K. Das India
Zhufei Chu China
W. Wang Canada
Marcel Walter relative to Kunal Das India Kunal Das's profile →
Citations per field
00.5×10.2×
Kunal Das · 1×
Citations per year

Countries citing papers authored by Marcel Walter

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201850
3 201947
4 202232
5 201925
6 201622
7 202022
8 202320
9 202219
10 202317
11 201817
12 202115
13 202014
14 201214
15 202413
16 202313
17 202313
18 202311
19 201810
20 20239

About Marcel Walter

Marcel Walter is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Biomedical Engineering, having authored 55 papers that have together received 559 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (41 papers), Advanced Memory and Neural Computing (26 papers), Advancements in Semiconductor Devices and Circuit Design (23 papers), Semiconductor materials and devices (17 papers), Quantum and electron transport phenomena (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Computational Theory and Mathematics (408 citations), Electrical and Electronic Engineering (451 citations), Hardware and Architecture (34 citations), Artificial Intelligence (94 citations) and Atomic and Molecular Physics, and Optics (62 citations). Marcel Walter has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Robert Wille, Rolf Drechsler, Frank Sill Torres, Konrad Walus, Oliver Keszöcze, Daniel Große, Daniel Grose, Anupam Chattopadhyay, Lorenzo Servadei and Martin Matzner. Their work appears in journals such as IEEE Transactions on Nanotechnology, ACM Journal on Emerging Technologies in Computing Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Design and Test.

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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