Adnan Mehonić

4.4k citations
53 papers · 2.2k indexed · 1 hit paper · h-index 20

Adnan Mehonić

51 papers receiving 2.2k citations

Hit Papers

Brain-inspired computing needs a master plan3632022202620232024100200300

Peers

Adnan Mehonić
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 808
  • Electrical and Electronic Engineering 2.1k
  • Polymers and Plastics 342
  • Cognitive Neuroscience 266
  • Artificial Intelligence 253
Replace Fabien Alibart with:
Fabien Alibart France
Jeonghwan Song South Korea
Kibong Moon South Korea
Zhanpeng Wang China
Jiyong Woo South Korea
Teng Zhang China
Jiadi Zhu China
Jun Yeong Seok South Korea
Zuheng Wu China
Ye Zhuo United States
Adnan Mehonić relative to Fabien Alibart France Fabien Alibart's profile →
Citations per field
00.5×1.5×1.9×
Fabien Alibart · 1×
Citations per year

Countries citing papers authored by Adnan Mehonić

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Mehonić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20246
4 20233
5 202377
6 20230
7
202215
8 20227
9 202233
10
Brain-inspired computing needs a master planbreakdown →
2022363
11 2020220
12 201948
13 201816
14 201825
15 201742
16 2016103
17 201611
18 201611
19 2013137
20 201282

About Adnan Mehonić

Adnan Mehonić is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (50 papers), Ferroelectric and Negative Capacitance Devices (24 papers), Neuroscience and Neural Engineering (19 papers), Semiconductor materials and devices (17 papers), Transition Metal Oxide Nanomaterials (8 papers), Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (6 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (808 citations), Electrical and Electronic Engineering (2.1k citations) and Polymers and Plastics (342 citations). Adnan Mehonić has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Anthony J. Kenyon, Stephen Hudziak, Mark Buckwell, Luca Montesi, Sébastien Cueff, R. Rizk, Wing H. Ng, Eleni Vasilaki, Osvaldo Simeone and Abu Sebastian. Their work appears in journals such as Nature, Advanced Materials and SHILAP Revista de lepidopterología.

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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