Cem Akkaya

495 total citations
11 papers, 297 citations indexed

About

Cem Akkaya is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Cem Akkaya has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Cem Akkaya's work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (5 papers) and Natural Language Processing Techniques (4 papers). Cem Akkaya is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (5 papers) and Natural Language Processing Techniques (4 papers). Cem Akkaya collaborates with scholars based in United States, Greece and Austria. Cem Akkaya's co-authors include Rada Mihalcea, Janyce Wiebe, Kostas Tsioutsiouliklis, Siddhartha Banerjee, Katharina Kaiser, Silvia Miksch, Dimitrios Gunopulos, Vana Kalogeraki and Prakhar Biyani and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Artificial Intelligence in Medicine and International Conference on Computational Linguistics.

In The Last Decade

Cem Akkaya

11 papers receiving 270 citations

Peers

Cem Akkaya

AI

IS

CSA

MB

PHEOH

Thomas Lin United States

Georgeta Bordea Ireland

Kalliopi Zervanou Netherlands

Faiçal Azouaou Algeria

Kurt Junshean Espinosa Philippines

Yoan Gutiérrez Spain

Arantza Díaz de Ilarraza Spain

Patrice Lopez Germany

Martin Homola Slovakia

Slavko Žitnik Slovenia

Thomas Lin United States

Cem Akkaya

335 ×1.3

AI

94 ×2.4

IS

10 ×0.4

CSA

51 ×2.5

MB

5 ×0.3

PHEOH

Citations per year, relative to Cem Akkaya Cem Akkaya (= 1×) peers Thomas Lin

Countries citing papers authored by Cem Akkaya

Since Specialization

Citations

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

Fields of papers citing papers by Cem Akkaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem Akkaya

This figure shows the co-authorship network connecting the top 25 collaborators of Cem Akkaya. A scholar is included among the top collaborators of Cem Akkaya 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 Cem Akkaya. Cem Akkaya 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.

Akkaya, Cem, et al.. (2020). A General Framework for First Story Detection Utilizing Entities and Their Relations. IEEE Transactions on Knowledge and Data Engineering. 33(11). 3482–3493. 2 indexed citations

2.

Banerjee, Siddhartha, et al.. (2019). Hierarchical Transfer Learning for Multi-label Text Classification. 6295–6300. 68 indexed citations

3.

Biyani, Prakhar, Cem Akkaya, & Kostas Tsioutsiouliklis. (2018). Identifying Domain Independent Update Intents in Task Based Dialogs. 410–419. 1 indexed citations

4.

Akkaya, Cem, et al.. (2016). First Story Detection using Entities and Relations. International Conference on Computational Linguistics. 3237–3244. 2 indexed citations

5.

Akkaya, Cem, Janyce Wiebe, & Rada Mihalcea. (2014). Iterative Constrained Clustering for Subjectivity Word Sense Disambiguation. 269–278. 3 indexed citations

6.

Akkaya, Cem, Janyce Wiebe, & Rada Mihalcea. (2012). Utilizing Semantic Composition in Distributional Semantic Models for Word Sense Discrimination and Word Sense Disambiguation. 45–51. 7 indexed citations

7.

Akkaya, Cem, et al.. (2011). Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis. 87–96. 18 indexed citations

8.

Akkaya, Cem, et al.. (2010). Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation. University of North Texas Digital Library (University of North Texas). 195–203. 48 indexed citations

9.

Wiebe, Janyce, et al.. (2009). Integrating knowledge for subjectivity sense labeling. 10–10. 18 indexed citations

10.

Akkaya, Cem, Janyce Wiebe, & Rada Mihalcea. (2009). Subjectivity word sense disambiguation. 1. 190–190. 100 indexed citations

11.

Kaiser, Katharina, Cem Akkaya, & Silvia Miksch. (2006). How can information extraction ease formalizing treatment processes in clinical practice guidelines?. Artificial Intelligence in Medicine. 39(2). 151–163. 30 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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