Alexander Serb

2.8k citations
102 papers · 2.1k · h-index 23

Impact in

Papers in

Alexander Serb

90 papers receiving 2.1k citations

Peers

Alexander Serb
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 1.1k
  • Electrical and Electronic Engineering 2.0k
  • Cognitive Neuroscience 552
  • Polymers and Plastics 241
  • Statistical and Nonlinear Physics 78
Replace Ali Khiat with:
Ali Khiat United Kingdom
Noraica Dávila United States
Siddharth Gaba United States
Zuheng Wu China
Adnan Mehonić United Kingdom
Gina C. Adam United States
Peng Yan United States
Seung Hwan Lee United States
Fabien Alibart France
Teng Zhang China
Alexander Serb relative to Ali Khiat United Kingdom Ali Khiat's profile →
Citations per field
00.5×1.5×
Ali Khiat · 1×
Citations per year

Countries citing papers authored by Alexander Serb

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Serb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016265
2 2017234
3 2016145
4 2016141
5 2016111
6 202081
7 201877
8 201573
9 202053
10 201552
11 201645
12 201542
13 201840
14 201939
15 201639
16 202234
17 201533
18 201630
19 201530
20 201628

About Alexander Serb

Alexander Serb is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Materials Chemistry, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (95 papers), Neuroscience and Neural Engineering (59 papers), Ferroelectric and Negative Capacitance Devices (47 papers), Neural dynamics and brain function (32 papers), Semiconductor materials and devices (15 papers), CCD and CMOS Imaging Sensors (14 papers), Photoreceptor and optogenetics research (6 papers) and Electronic and Structural Properties of Oxides (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (2.0k citations), Cognitive Neuroscience (552 citations), Polymers and Plastics (241 citations) and Statistical and Nonlinear Physics (78 citations). Alexander Serb has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Themis Prodromakis, Ali Khiat, Radu Berdan, Spyros Stathopoulos, Isha Gupta, Maria Trapatseli, Simone Cortese, Johannes Bill, Robert Legenstein and M. Fanciulli. Their work appears in journals such as Scientific Reports, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Electron Devices, Nature Communications and International Journal of Circuit Theory and Applications.

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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