Jasmin Aghassi‐Hagmann

2.2k citations
112 papers · 1.6k indexed · 1 hit paper · h-index 22
Topics
Advanced Memory and Neural Computing (45 papers)Semiconductor materials and devices (21 papers)Physical Unclonable Functions (PUFs) and Hardware Security (20 papers)

In The Last Decade

Jasmin Aghassi‐Hagmann

104 papers receiving 1.6k citations

Hit Papers

High-entropy materials for energy and electronic applicat...202420262025202450100150200

Peers

Jasmin Aghassi‐Hagmann
Comparison fields: 5 of 73
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 416
  • Biomedical Engineering 397
  • Hardware and Architecture 206
  • Mechanical Engineering 194
Replace Gabriel Cadilha Marques with:
Gabriel Cadilha Marques Germany
Hongsik Park South Korea
Gage Hills United States
Seung‐Tak Ryu South Korea
Zhongwei Xu China
Hussein Nili United States
Max M. Shulaker United States
Seung Won Lee South Korea
Dong-Won Park South Korea
Jaydeep P. Kulkarni United States
Jasmin Aghassi‐Hagmann relative to Gabriel Cadilha Marques Germany Gabriel Cadilha Marques's profile →
Citations per field
00.5×
Gabriel Cadilha Marques · 1×
Citations per year

Countries citing papers authored by Jasmin Aghassi‐Hagmann

Since Specialization
Citations

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

Fields of papers citing papers by Jasmin Aghassi‐Hagmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasmin Aghassi‐Hagmann. 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 Jasmin Aghassi‐Hagmann. The network helps show where Jasmin Aghassi‐Hagmann may publish in the future.

Co-authorship network of co-authors of Jasmin Aghassi‐Hagmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmin Aghassi‐Hagmann. A scholar is included among the top collaborators of Jasmin Aghassi‐Hagmann 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 Jasmin Aghassi‐Hagmann. Jasmin Aghassi‐Hagmann 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 11
3 8
4 1
5 3
6 11
7 5
8 41
9 26
10 6
11 42
12 75
13 2
14 57
15 13
16 2
17 0
18 37
19 48
20 46

About Jasmin Aghassi‐Hagmann

Jasmin Aghassi‐Hagmann is a scholar working on Hardware and Architecture, Bioengineering and Electrical and Electronic Engineering, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (45 papers), Semiconductor materials and devices (21 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (20 papers). The work is most often cited by research in Hardware and Architecture (206 citations), Electrical and Electronic Engineering (1.1k citations) and Bioengineering (66 citations). Jasmin Aghassi‐Hagmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Mehdi B. Tahoori, Gabriel Cadilha Marques, Horst Hahn, Ben Breitung, Simon Schweidler, Alexander Scholz, Simone Dehm, Torsten Brezesinski, Xiaowei Feng and Leonardo Velasco. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026