Shima Kashef

800 total citations
11 papers, 598 citations indexed

About

Shima Kashef is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shima Kashef has authored 11 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Shima Kashef's work include Text and Document Classification Technologies (4 papers), Machine Learning in Bioinformatics (3 papers) and Face and Expression Recognition (3 papers). Shima Kashef is often cited by papers focused on Text and Document Classification Technologies (4 papers), Machine Learning in Bioinformatics (3 papers) and Face and Expression Recognition (3 papers). Shima Kashef collaborates with scholars based in Iran and Switzerland. Shima Kashef's co-authors include Hossein Nezamabadi–pour, Bahareh Nikpour, Alireza Akbarzadeh, Esmat Rashedi and Daniel Burckhardt and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Mechanism and Machine Theory.

In The Last Decade

Shima Kashef

11 papers receiving 580 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shima Kashef Iran	7	417	216	107	93	84	11	598
Md. Shahjahan Bangladesh	10	369 0.9×	174 0.8×	37 0.3×	69 0.7×	45 0.5×	57	622
Ritam Guha India	12	404 1.0×	164 0.8×	35 0.3×	87 0.9×	32 0.4×	24	594
Jinjie Huang China	11	307 0.7×	138 0.6×	29 0.3×	62 0.7×	115 1.4×	43	565
Xingyu Wu China	16	406 1.0×	223 1.0×	17 0.2×	53 0.6×	55 0.7×	54	643
Ronggui Wang China	16	352 0.8×	246 1.1×	44 0.4×	154 1.7×	32 0.4×	59	699
Ezgi Zorarpacı Türkiye	6	276 0.7×	65 0.3×	35 0.3×	70 0.8×	31 0.4×	10	371
Shengjie Luo Taiwan	11	150 0.4×	260 1.2×	30 0.3×	59 0.6×	11 0.1×	24	593
Thaer Thaher Palestinian Territory	14	359 0.9×	62 0.3×	50 0.5×	74 0.8×	34 0.4×	26	637
Yizhang Jiang China	11	451 1.1×	180 0.8×	21 0.2×	39 0.4×	54 0.6×	15	601
Pradip Dhal India	7	194 0.5×	75 0.3×	27 0.3×	32 0.3×	29 0.3×	13	386

Countries citing papers authored by Shima Kashef

Since Specialization

Citations

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

Fields of papers citing papers by Shima Kashef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shima Kashef

This figure shows the co-authorship network connecting the top 25 collaborators of Shima Kashef. A scholar is included among the top collaborators of Shima Kashef 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 Shima Kashef. Shima Kashef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Burckhardt, Daniel, et al.. (2021). Molecular, morphometric and digital automated identification of three Diaphorina species (Hemiptera: Liviidae). Bulletin of Entomological Research. 111(4). 411–419. 1 indexed citations

2.

Kashef, Shima, et al.. (2019). Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria. Mechanism and Machine Theory. 145. 103677–103677. 88 indexed citations

3.

Kashef, Shima & Hossein Nezamabadi–pour. (2018). A label-specific multi-label feature selection algorithm based on the Pareto dominance concept. Pattern Recognition. 88. 654–667. 64 indexed citations

4.

Kashef, Shima, Hossein Nezamabadi–pour, & Bahareh Nikpour. (2018). Multilabel feature selection: A comprehensive review and guiding experiments. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 8(2). 106 indexed citations

5.

Kashef, Shima, et al.. (2018). A robust design of a prosthetic finger and its dynamic analysis. 135–140. 3 indexed citations

6.

Kashef, Shima, Hossein Nezamabadi–pour, & Bahareh Nikpour. (2018). FCBF3Rules: A feature selection method for multi-label datasets. 1–5. 12 indexed citations

7.

Kashef, Shima & Hossein Nezamabadi–pour. (2017). An effective method of multi-label feature selection employing evolutionary algorithms. 21–25. 10 indexed citations

8.

Kashef, Shima, Hossein Nezamabadi–pour, & Esmat Rashedi. (2017). Adaptive enhancement and binarization techniques for degraded plate images. Multimedia Tools and Applications. 77(13). 16579–16595. 2 indexed citations

9.

Kashef, Shima & Hossein Nezamabadi–pour. (2015). INTRODUCING A NEW VERSION OF BINARY ANT COLONY ALGORITHM TO SOLVE THE PROBLEM OF FEATURE SELECTION. 12(2). 127–134. 1 indexed citations

10.

Kashef, Shima & Hossein Nezamabadi–pour. (2014). An advanced ACO algorithm for feature subset selection. Neurocomputing. 147. 271–279. 263 indexed citations

11.

Kashef, Shima & Hossein Nezamabadi–pour. (2013). A new feature selection algorithm based on binary ant colony optimization. 50–54. 48 indexed citations

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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