Ilia Markov

706 total citations
38 papers, 249 citations indexed

About

Ilia Markov is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Ilia Markov has authored 38 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Communication. Recurrent topics in Ilia Markov's work include Natural Language Processing Techniques (21 papers), Authorship Attribution and Profiling (20 papers) and Topic Modeling (10 papers). Ilia Markov is often cited by papers focused on Natural Language Processing Techniques (21 papers), Authorship Attribution and Profiling (20 papers) and Topic Modeling (10 papers). Ilia Markov collaborates with scholars based in Mexico, Belgium and Italy. Ilia Markov's 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 and has published in prestigious journals such as Computational Intelligence and Neuroscience, Journal of Intelligent & Fuzzy Systems and Natural Language Engineering.

In The Last Decade

Ilia Markov

36 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilia Markov Mexico 10 207 56 22 18 17 38 249
Aasish Pappu United States 8 168 0.8× 44 0.8× 31 1.4× 20 1.1× 13 0.8× 29 217
Syed Sarfaraz Akhtar India 6 267 1.3× 46 0.8× 32 1.5× 14 0.8× 40 2.4× 11 282
Véronique Moriceau France 9 227 1.1× 56 1.0× 27 1.2× 29 1.6× 25 1.5× 32 260
Deepanshu Vijay India 5 246 1.2× 45 0.8× 29 1.3× 12 0.7× 38 2.2× 6 258
Ibrahim Abu Farha United Kingdom 9 480 2.3× 77 1.4× 18 0.8× 27 1.5× 21 1.2× 11 511
Mohammad Abid Khan Pakistan 9 316 1.5× 36 0.6× 7 0.3× 17 0.9× 11 0.6× 30 336
Ashraf Kamal India 6 185 0.9× 49 0.9× 12 0.5× 20 1.1× 18 1.1× 8 218
Andrew Caines United Kingdom 9 163 0.8× 54 1.0× 8 0.4× 25 1.4× 6 0.4× 40 226
Alex Marin United States 9 184 0.9× 24 0.4× 25 1.1× 8 0.4× 8 0.5× 20 208
Kalliopi Zervanou Netherlands 8 163 0.8× 34 0.6× 8 0.4× 13 0.7× 8 0.5× 31 209

Countries citing papers authored by Ilia Markov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ilia Markov

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

All Works

20 of 20 papers shown
1.
Markov, Ilia, et al.. (2024). Unknown Script: Impact of Script on Cross-Lingual Transfer. VU Research Portal. 124–129. 1 indexed citations
3.
Ashkboos, Saleh, et al.. (2024). QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models. 3355–3371. 3 indexed citations
4.
Markov, Ilia, et al.. (2023). Who are the haters? A corpus-based demographic analysis of authors of hate speech. Frontiers in Artificial Intelligence. 6. 986890–986890. 1 indexed citations
5.
Markov, Ilia & Walter Daelemans. (2021). Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 17–22. 9 indexed citations
6.
Klein, Karen, et al.. (2021). Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement. 268–284. 6 indexed citations
7.
Faghri, Fartash, et al.. (2020). Adaptive Gradient Quantization for Data-Parallel SGD. Neural Information Processing Systems. 33. 3174–3185. 3 indexed citations
8.
Markov, Ilia, Vivi Năstase, & Carlo Strapparava. (2020). Exploiting native language interference for native language identification. Natural Language Engineering. 28(2). 167–197.
9.
Kestemont, Mike, Ilia Markov, Janek Bevendorff, et al.. (2020). Overview of the Cross-Domain Authorship Verification Task at PAN 2020.. CLEF (Working Notes). 1743–1759. 19 indexed citations
10.
Gómez-Adorno, Helena, et al.. (2019). A convolutional neural network approach for gender and language variety identification. Journal of Intelligent & Fuzzy Systems. 36(5). 4845–4855. 7 indexed citations
11.
Markov, Ilia, Vivi Năstase, & Carlo Strapparava. (2018). Punctuation as Native Language Interference. Institutional Research Information System (Università degli Studi di Trento). 3456–3466. 5 indexed citations
12.
Markov, Ilia & Grigori Sidorov. (2018). CIC-IPN@INLI2018: Indian Native Language Identification.. 82–88. 1 indexed citations
13.
Markov, Ilia, Helena Gómez-Adorno, Grigori Sidorov, & Alexander Gelbukh. (2017). The winning approach to cross-genre gender identification in Russian at RUSProfiling 2017. CEUR Workshop Proceedings. 2036. 20–24. 7 indexed citations
14.
Markov, Ilia, Helena Gómez-Adorno, & Grigori Sidorov. (2017). Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling.. CLEF (Working Notes). 3 indexed citations
15.
Gómez-Adorno, Helena, et al.. (2016). Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts. Computational Intelligence and Neuroscience. 2016. 1–13. 18 indexed citations
16.
Markov, Ilia, Helena Gómez-Adorno, Grigori Sidorov, & Alexander Gelbukh. (2016). Adapting Cross-Genre Author Profiling to Language and Corpus.. CLEF (Working Notes). 947–955. 10 indexed citations
17.
Markov, Ilia, et al.. (2016). Detección automática de similitud de los programas en el lenguaje de programación Karel basado en técnicas de procesamiento de lenguaje natural. Computación y Sistemas. 20(2). 279–288. 3 indexed citations
18.
Markov, Ilia, et al.. (2015). Syntactic N-grams as features for the author profiling task. CEUR Workshop Proceedings. 1391. 17 indexed citations
19.
Gómez-Adorno, Helena, Grigori Sidorov, David Pinto, & Ilia Markov. (2015). A Graph Based Authorship Identification Approach: Notebook for PAN at CLEF 2015.. CLEF (Working Notes). 2 indexed citations
20.
Gómez-Adorno, Helena, et al.. (2015). Syntactic N-grams as Features for the Author Profiling Task: Notebook for PAN at CLEF 2015.. CLEF (Working Notes). 6 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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