Mansur Alp Toçoğlu
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Natural Language Processing Techniques
- Health Information Management top 10%
Papers in ⓘ
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- Sentiment Analysis and Opinion Mining 9
- Advanced Text Analysis Techniques 5
- Topic Modeling 5
- Text and Document Classification Technologies 5
- Natural Language Processing Techniques 1
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- Online Learning and Analytics 1
Mansur Alp Toçoğlu
11 papers receiving 416 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 291
- Health Information Management 20
- Computer Science Applications 20
- Signal Processing 30
- Information Systems 62
Countries citing papers authored by Mansur Alp Toçoğlu
This map shows the geographic impact of Mansur Alp Toçoğlu'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 Mansur Alp Toçoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansur Alp Toçoğlu more than expected).
Fields of papers citing papers by Mansur Alp Toçoğlu
This network shows the impact of papers produced by Mansur Alp Toçoğlu. 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 Mansur Alp Toçoğlu. The network helps show where Mansur Alp Toçoğlu may publish in the future.
Co-authors
The 2 scholars most cited alongside Mansur Alp Toçoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification Hit paper breakdown → | 2021 | 271 |
| 2 | 2020 | 41 | |
| 3 | 2019 | 35 | |
| 4 | 2019 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2019 | 8 | |
| 9 | 2014 | 5 | |
| 10 | 2020 | 1 | |
| 11 | 2022 | 1 |
About Mansur Alp Toçoğlu
Mansur Alp Toçoğlu is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Management Science and Operations Research and Social Psychology, having authored 11 papers that have together received 427 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (5 papers), Topic Modeling (5 papers), Text and Document Classification Technologies (5 papers), Natural Language Processing Techniques (1 paper), Software Engineering Research (1 paper), Humor Studies and Applications (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Artificial Intelligence (291 citations), Health Information Management (20 citations), Computer Science Applications (20 citations), Signal Processing (30 citations) and Information Systems (62 citations). Mansur Alp Toçoğlu has collaborated with scholars based in Türkiye and Spain. Frequent co-authors include Aytuğ Onan and Adil Alpkoçak. Their work appears in journals such as IEEE Access, Computer Applications in Engineering Education, Journal of Information Science, Applied Artificial Intelligence and TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES.
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.