Nima TaheriNejad

1.7k total citations
88 papers, 1.1k citations indexed

About

Nima TaheriNejad is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Nima TaheriNejad has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 17 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in Nima TaheriNejad's work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (22 papers) and Neuroscience and Neural Engineering (13 papers). Nima TaheriNejad is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (22 papers) and Neuroscience and Neural Engineering (13 papers). Nima TaheriNejad collaborates with scholars based in Austria, Germany and Iran. Nima TaheriNejad's co-authors include Axel Jantsch, Shahriar Mirabbasi, Lutz Lampe, M. Hassan Najafi, Hossein Miar Naimi, Nikil Dutt, Mohammad Reza Reshadinezhad, Pasi Liljeberg, Hadi Shahriar Shahhoseini and Arman Anzanpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Nima TaheriNejad

85 papers receiving 1.1k citations

Peers

Nima TaheriNejad
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 567
  • Biomedical Engineering 213
  • Artificial Intelligence 191
  • Computer Networks and Communications 158
  • Cellular and Molecular Neuroscience 150
Replace Jun Zhou with:
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Mohammad I. Daoud Jordan
Bharat Gupta India
Arun Khosla India
Sabira Khatun Malaysia
Paolo Crippa Italy
Amit M. Joshi India
Abdul Rahim Abdullah Malaysia
Amir Aminifar Sweden
Marwa Qaraqe Qatar
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Citations per field, relative to Nima TaheriNejad
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Citations per year, relative to Nima TaheriNejad
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Countries citing papers authored by Nima TaheriNejad

Since Specialization
Citations

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

Fields of papers citing papers by Nima TaheriNejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima TaheriNejad

This figure shows the co-authorship network connecting the top 25 collaborators of Nima TaheriNejad. A scholar is included among the top collaborators of Nima TaheriNejad 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 Nima TaheriNejad. Nima TaheriNejad 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 5
6 9
7 1
8 5
9 3
10 5
11 2
12 2
13 4
14 13
15 12
16 8
17 9
18 35
19 13
20
A new digital multiplier/divider architecture, via hybrid analog-digital processing
2

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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