Ali Ahmadi

1.1k citations
83 papers · 714 indexed · h-index 17
Topics
Currency Recognition and Detection (11 papers)Neural Networks and Applications (10 papers)Spectroscopy and Chemometric Analyses (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
Partner nations
IranJapanCanada

In The Last Decade

Ali Ahmadi

75 papers receiving 675 citations

Peers

Ali Ahmadi
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 246
  • Artificial Intelligence 231
  • Molecular Biology 69
  • Information Systems 62
  • Social Psychology 56
Replace Andry Chowanda with:
Andry Chowanda Indonesia
Frédéric Andrès Japan
Giovanni Pilato Italy
Ziming Wu China
Aneesh Krishna Australia
Shucheng Huang China
Ricardo Araújo Brazil
Duc Thanh Nguyen Australia
Kathryn Merrick Australia
António J. R. Neves Portugal
Ali Ahmadi relative to Andry Chowanda Indonesia Andry Chowanda's profile →
Citations per field
00.5×10×15×20×23×
Andry Chowanda · 1×
Citations per year

Countries citing papers authored by Ali Ahmadi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ahmadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ahmadi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ahmadi. A scholar is included among the top collaborators of Ali Ahmadi 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 Ali Ahmadi. Ali Ahmadi 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 1
2 2
3 4
4 0
5 12
6 12
7 7
8 15
9 10
10 3
11
Conflict Resolution in Data Integration Using the Relationship Between Entities
1
12
Deep Learning Based on Parallel CNNs for Pedestrian Detection
5
13
Persian Texts Part of Speech Tagging Using Artificial Neural Networks
4
14 4
15 29
16 1
17 3
18 2
19
A study on evaluating and improving the reliability of bank note neuro-classifiers
2
20 8

About Ali Ahmadi

Ali Ahmadi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry, having authored 83 papers that have together received 714 indexed citations. Recurring topics across this work include Currency Recognition and Detection (11 papers), Neural Networks and Applications (10 papers) and Spectroscopy and Chemometric Analyses (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Human-Computer Interaction (42 citations) and Artificial Intelligence (231 citations). Ali Ahmadi has collaborated with scholars based in Iran, Japan and Canada. Frequent co-authors include Kaveh Hassani, Ali Nahvi, Maryam Banaei, Sigeru Omatu, Saman Shojae Chaeikar, Javad Hatami, Klaus Gramann, Arash Sharifi, Farbod Razzazi and Alireza Behrad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with 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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