Dimitar Kazakov
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 8
- Semantic Web and Ontologies 7
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- Data Mining Algorithms and Applications 7
- Co-authors
- Suresh Manandhar (2 shared papers)Mark Bartlett (6 shared papers)Daniel Kudenko⋆ (5 shared papers)Eduardo Alonso (2 shared papers)Rayner Alfred (3 shared papers)Iain Bate (5 shared papers)Ahmad Nurul Fajar (5 shared papers)Ahmad Raza Shahid (4 shared papers)
- Journals
- Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems (1 paper)Cognitive Computation (1 paper)Applied Artificial Intelligence (1 paper)Machine Learning (1 paper)Connection Science (1 paper)
- Partner nations
- United KingdomIndonesiaUnited States
In The Last Decade
Dimitar Kazakov
56 papers receiving 339 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 218
- Signal Processing 40
- Information Systems 78
- Management Science and Operations Research 38
- Cultural Studies 23
Countries citing papers authored by Dimitar Kazakov
This map shows the geographic impact of Dimitar Kazakov'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 Dimitar Kazakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitar Kazakov more than expected).
Fields of papers citing papers by Dimitar Kazakov
This network shows the impact of papers produced by Dimitar Kazakov. 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 Dimitar Kazakov. The network helps show where Dimitar Kazakov may publish in the future.
Co-authors
The 25 scholars most cited alongside Dimitar Kazakov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 92 | |
| 2 | 2001 | 25 | |
| 3 | 2014 | 24 | |
| 4 | 2003 | 22 | |
| 5 | 2014 | 14 | |
| 6 | Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments | 2005 | 13 |
| 7 | 2005 | 10 | |
| 8 | 2011 | 10 | |
| 9 | 2012 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2009 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2004 | 8 | |
| 14 | 2012 | 8 | |
| 15 | A Hybrid Approach t Word Segmentation | 1998 | 7 |
| 16 | A Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA | 2007 | 7 |
| 17 | Learning from Ordinal Data with Inductive Logic Programming in Description Logic. | 2017 | 6 |
| 18 | 2010 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 5 |
About Dimitar Kazakov
Dimitar Kazakov is a scholar working on Artificial Intelligence, Information Systems, Economics and Econometrics, Signal Processing and Computational Theory and Mathematics, having authored 64 papers that have together received 380 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Complex Systems and Time Series Analysis (8 papers), Topic Modeling (8 papers), Stock Market Forecasting Methods (7 papers), Semantic Web and Ontologies (7 papers), Data Mining Algorithms and Applications (7 papers), Language and cultural evolution (6 papers) and Syntax, Semantics, Linguistic Variation (6 papers). The work is most often cited by research in Artificial Intelligence (218 citations), Signal Processing (40 citations), Information Systems (78 citations), Management Science and Operations Research (38 citations) and Cultural Studies (23 citations). Dimitar Kazakov has collaborated with scholars based in United Kingdom, Indonesia and United States. Frequent co-authors include Suresh Manandhar, Mark Bartlett, Daniel Kudenko⋆, Eduardo Alonso, Rayner Alfred, Iain Bate, Ahmad Nurul Fajar, Ahmad Raza Shahid, David C. Osmon and Octavio A. Santos. Their work appears in journals such as Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, Cognitive Computation, Applied Artificial Intelligence, Machine Learning and Connection Science.
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.