Şerafettin Taşcı

579 total citations
7 papers, 347 citations indexed

About

Şerafettin Taşcı is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Şerafettin Taşcı has authored 7 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Şerafettin Taşcı's work include Text and Document Classification Technologies (3 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Şerafettin Taşcı is often cited by papers focused on Text and Document Classification Technologies (3 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Şerafettin Taşcı collaborates with scholars based in Türkiye and United States. Şerafettin Taşcı's co-authors include Tunga Güngör, Dawei Li, Larry Heck, Shalini Ghosh, Junting Zhang, Jie Zhang, C.‐C. Jay Kuo, Heming Zhang, Jingwen Zhu and Larry S. Davis and has published in prestigious journals such as Expert Systems with Applications and arXiv (Cornell University).

In The Last Decade

Şerafettin Taşcı

7 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Şerafettin Taşcı Türkiye	6	278	191	40	30	18	7	347
Mingi Ji South Korea	7	189 0.7×	188 1.0×	49 1.2×	15 0.5×	19 1.1×	11	334
Saksham Singhal China	7	368 1.3×	289 1.5×	20 0.5×	15 0.5×	14 0.8×	10	507
Ruoxi Sun China	5	271 1.0×	198 1.0×	13 0.3×	31 1.0×	16 0.9×	8	363
Emmanuel Bengio Canada	3	303 1.1×	157 0.8×	12 0.3×	18 0.6×	12 0.7×	4	379
Vincent Perot United States	3	260 0.9×	186 1.0×	11 0.3×	31 1.0×	16 0.9×	3	335
Yiqiao Mao China	6	155 0.6×	152 0.8×	14 0.3×	18 0.6×	26 1.4×	16	294
Maxinder S Kanwal Poland	2	292 1.1×	157 0.8×	10 0.3×	18 0.6×	12 0.7×	2	367
Yuang Liu China	4	231 0.8×	241 1.3×	16 0.4×	51 1.7×	16 0.9×	9	356
Jihwan Jeong South Korea	5	280 1.0×	163 0.9×	12 0.3×	34 1.1×	14 0.8×	8	356
Thalaiyasingam Ajanthan Australia	7	226 0.8×	239 1.3×	9 0.2×	21 0.7×	15 0.8×	19	333

Countries citing papers authored by Şerafettin Taşcı

Since Specialization

Citations

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

Fields of papers citing papers by Şerafettin Taşcı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Şerafettin Taşcı

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhang, Junting, Jie Zhang, Shalini Ghosh, et al.. (2020). Class-incremental Learning via Deep Model Consolidation. 1120–1129. 196 indexed citations

2.

Li, Dawei, Şerafettin Taşcı, Shalini Ghosh, et al.. (2019). Efficient Incremental Learning for Mobile Object Detection. arXiv (Cornell University). 4 indexed citations

3.

Li, Dawei, Şerafettin Taşcı, Shalini Ghosh, et al.. (2019). RILOD. 113–126. 59 indexed citations

4.

Du, Xianzhi, Xiaolong Wang, Dawei Li, et al.. (2019). Boundary-sensitive Network for Portrait Segmentation. 1–8. 11 indexed citations

5.

Taşcı, Şerafettin & Tunga Güngör. (2013). Comparison of text feature selection policies and using an adaptive framework. Expert Systems with Applications. 40(12). 4871–4886. 47 indexed citations

6.

Taşcı, Şerafettin & Tunga Güngör. (2009). LDA-based keyword selection in text categorization. 230–235. 23 indexed citations

7.

Taşcı, Şerafettin & Tunga Güngör. (2008). An evaluation of existing and new feature selection metrics in text categorization. 3. 1–6. 7 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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