Mürvet Kırcı

938 citations
40 papers · 621 indexed · 1 hit paper · h-index 11
Topics
Smart Agriculture and AI (9 papers)Biometric Identification and Security (9 papers)User Authentication and Security Systems (6 papers)
Partner nations
TürkiyePakistanCanada

In The Last Decade

Mürvet Kırcı

39 papers receiving 584 citations

Hit Papers

Disease detection on the leaves of the tomato plants by u...20172026202020232017100200300

Peers

Mürvet Kırcı
Comparison fields: 5 of 77
  • Plant Science 435
  • Analytical Chemistry 187
  • Computer Vision and Pattern Recognition 103
  • Ecology 74
  • Signal Processing 61
Replace Ashish Mishra with:
Ashish Mishra India
Wenzhuo Zhang China
Xiaoyi Wang China
Yogesh Dandawate India
Murat Uçar Türkiye
Emine Uçar Türkiye
Ruber Hernández-García Chile
M. Arun India
Shilpi Harnal India
J. Arun Pandian India
Mürvet Kırcı relative to Ashish Mishra India Ashish Mishra's profile →
Citations per field
00.5×3.2×
Ashish Mishra · 1×
Citations per year

Countries citing papers authored by Mürvet Kırcı

Since Specialization
Citations

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

Fields of papers citing papers by Mürvet Kırcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mürvet Kırcı

This figure shows the co-authorship network connecting the top 25 collaborators of Mürvet Kırcı. A scholar is included among the top collaborators of Mürvet Kırcı 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 Mürvet Kırcı. Mürvet Kırcı 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 7
4 3
5 2
6 30
7 1
8 1
9 0
10 16
11 1
12 1
13 2
14 8
15
An embedded biometric system
2
16 11
17 1
18 15
19 5
20 1

About Mürvet Kırcı

Mürvet Kırcı is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 40 papers that have together received 621 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Biometric Identification and Security (9 papers) and User Authentication and Security Systems (6 papers). The work is most often cited by research in Analytical Chemistry (187 citations), Plant Science (435 citations) and Signal Processing (61 citations). Mürvet Kırcı has collaborated with scholars based in Türkiye, Pakistan and Canada. Frequent co-authors include Ece Olcay Güneş, Halil Durmuş, Jonathan Schaeffer, Lida Kouhalvandi, Nathan Sturtevant, Burak Berk Üstündağ and Sinan Öncü. Their work appears in journals such as Future Generation Computer Systems, Computer Networks and Fractal and Fractional.

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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