Ilia Markov
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 21
- Authorship Attribution and Profiling 20
- Topic Modeling 10
- Hate Speech and Cyberbullying Detection 9
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- Swearing, Euphemism, Multilingualism 3
- Social Media and Politics 2
- Information Systems top 10%
- Spam and Phishing Detection 4
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- Digital Communication and Language 3
- Co-authors
- Grigori SidorovHelena Gómez-AdornoWalter DaelemansAlexander GelbukhDavid PintoCarlo StrapparavaEhsan LotfiNikola Ljubešić
In The Last Decade
Ilia Markov
36 papers receiving 233 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 207
- Communication 22
- Information Systems 56
- General Social Sciences 5
- Human-Computer Interaction 7
Countries citing papers authored by Ilia Markov
This map shows the geographic impact of Ilia Markov'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 Ilia Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilia Markov more than expected).
Fields of papers citing papers by Ilia Markov
This network shows the impact of papers produced by Ilia Markov. 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 Ilia Markov. The network helps show where Ilia Markov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ilia Markov, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 6 | |
| 7 | Adaptive Gradient Quantization for Data-Parallel SGD | 2020 | 3 |
| 8 | 2020 | 0 | |
| 9 | Overview of the Cross-Domain Authorship Verification Task at PAN 2020. | 2020 | 19 |
| 10 | 2019 | 7 | |
| 11 | Punctuation as Native Language Interference | 2018 | 5 |
| 12 | CIC-IPN@INLI2018: Indian Native Language Identification. | 2018 | 1 |
| 13 | The winning approach to cross-genre gender identification in Russian at RUSProfiling 2017 | 2017 | 7 |
| 14 | Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling. | 2017 | 3 |
| 15 | 2016 | 18 | |
| 16 | Adapting Cross-Genre Author Profiling to Language and Corpus. | 2016 | 10 |
| 17 | Detección automática de similitud de los programas en el lenguaje de programación Karel basado en técnicas de procesamiento de lenguaje natural | 2016 | 3 |
| 18 | Syntactic N-grams as features for the author profiling task | 2015 | 17 |
| 19 | A Graph Based Authorship Identification Approach: Notebook for PAN at CLEF 2015. | 2015 | 2 |
| 20 | Syntactic N-grams as Features for the Author Profiling Task: Notebook for PAN at CLEF 2015. | 2015 | 6 |
About Ilia Markov
Ilia Markov is a scholar working on Artificial Intelligence, Communication and Human-Computer Interaction, having authored 38 papers that have together received 249 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Authorship Attribution and Profiling (20 papers), Topic Modeling (10 papers), Hate Speech and Cyberbullying Detection (9 papers), Spam and Phishing Detection (4 papers), Swearing, Euphemism, Multilingualism (3 papers), Digital Communication and Language (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Artificial Intelligence (207 citations), Communication (22 citations) and Information Systems (56 citations). Ilia Markov has collaborated with scholars based in Mexico, Belgium and Italy. Frequent co-authors include Grigori Sidorov, Helena Gómez-Adorno, Walter Daelemans, Alexander Gelbukh, David Pinto, Carlo Strapparava, Ehsan Lotfi, Nikola Ljubešić, Liliana Chanona-Hernández and Darja Fišer. Their work appears in journals such as Computational Intelligence and Neuroscience, Journal of Intelligent & Fuzzy Systems and Natural Language Engineering.
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.