Chitra Dadkhah

523 total citations
25 papers, 366 citations indexed

About

Chitra Dadkhah is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chitra Dadkhah has authored 25 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chitra Dadkhah's work include Recommender Systems and Techniques (5 papers), Spam and Phishing Detection (4 papers) and Network Security and Intrusion Detection (3 papers). Chitra Dadkhah is often cited by papers focused on Recommender Systems and Techniques (5 papers), Spam and Phishing Detection (4 papers) and Network Security and Intrusion Detection (3 papers). Chitra Dadkhah collaborates with scholars based in Iran, Canada and South Korea. Chitra Dadkhah's co-authors include Keivan Navi, Amir Sabbagh Molahosseini, Omid Kavehei, Somayeh Timarchi, Hossein Shamsi, Henry Leung, Kang‐Yoon Lee, Mohammad Eshghi, Hourieh Khalajzadeh and Mohammad Mansouri and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Artificial Intelligence Review.

In The Last Decade

Chitra Dadkhah

24 papers receiving 342 citations

Peers

Chitra Dadkhah
Comparison fields: 5 of 59
  • Artificial Intelligence 160
  • Information Systems 151
  • Computer Vision and Pattern Recognition 89
  • Electrical and Electronic Engineering 89
  • Biomedical Engineering 42
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Citations per field, relative to Chitra Dadkhah
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Citations per year, relative to Chitra Dadkhah
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Countries citing papers authored by Chitra Dadkhah

Since Specialization
Citations

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

Fields of papers citing papers by Chitra Dadkhah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitra Dadkhah

This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Dadkhah. A scholar is included among the top collaborators of Chitra Dadkhah 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 Chitra Dadkhah. Chitra Dadkhah 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 1
2 6
3 4
4 1
5 1
6 2
7 15
8 6
9 12
10 10
11 27
12 4
13 50
14 44
15
Efficient reverse converter designs for the new 4-moduli sets {2n - 1, 2n, 2n + 1, 22n+1 - 1} and {2n - 1, 2n + 1, 22n, 22n + 1} based on new CRTs
8
16 83
17 14
18 14
19 2
20
OAV-VVT EXPERT, AN ACTIVE SYSTEM FOR VERIFICATION AND VALIDATION OF KNOWLEDGE BASE USING OAV KNOWLEDGE REPRESENTATION
1

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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