Armin Shmilovici

1.2k total citations
38 papers, 546 citations indexed

About

Armin Shmilovici is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Armin Shmilovici has authored 38 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Armin Shmilovici's work include Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and Fault Detection and Control Systems (3 papers). Armin Shmilovici is often cited by papers focused on Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and Fault Detection and Control Systems (3 papers). Armin Shmilovici collaborates with scholars based in Israel, United States and Germany. Armin Shmilovici's co-authors include Dan Braha, Irad Ben‐Gal, Lior Rokach, Shmuel Hauser, André Gohr, Ivo Große, Jan Grau, Abraham B. Shani, Stefan Posch and Oded Maimon and has published in prestigious journals such as PLoS ONE, Technometrics and Expert Systems with Applications.

In The Last Decade

Armin Shmilovici

34 papers receiving 513 citations

Peers

Armin Shmilovici
Comparison fields: 5 of 117
  • Artificial Intelligence 133
  • Molecular Biology 120
  • Statistics, Probability and Uncertainty 69
  • Industrial and Manufacturing Engineering 63
  • Management Science and Operations Research 58
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Yuxian Du China
Wai Ki Ching Hong Kong
Belén Martín-Barragán United Kingdom
Cai Gao China
Hua Yan China
Man Leung Wong Hong Kong
Lixiang Shen China
Tian Bian China
Marco Valtorta United States
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Citations per field, relative to Armin Shmilovici
Armin Shmilovici · 1×
Citations per year, relative to Armin Shmilovici
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Countries citing papers authored by Armin Shmilovici

Since Specialization
Citations

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

Fields of papers citing papers by Armin Shmilovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Shmilovici

This figure shows the co-authorship network connecting the top 25 collaborators of Armin Shmilovici. A scholar is included among the top collaborators of Armin Shmilovici 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 Armin Shmilovici. Armin Shmilovici 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 4
2 0
3 3
4 92
5 9
6
Accelerating the relevance vector machine via data partitioning
4
7 5
8 111
9
Context-based statistical process control: A monitoring procedure for state-dependent processes
5
10 3
11 9
12 1
13
A PROTOTYPE FUZZY SYSTEM FOR SURVEILLANCE PICTURE UNDERSTANDING
3
14 4
15 5
16 7
17 3
18 0
19 1
20 8

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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