Ruslan Mitkov
About
In The Last Decade
Ruslan Mitkov
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 1.5k
- Information Systems 240
- Cognitive Neuroscience 166
- Language and Linguistics 135
- Education 117
Countries citing papers authored by Ruslan Mitkov
This map shows the geographic impact of Ruslan Mitkov'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 Ruslan Mitkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruslan Mitkov more than expected).
Fields of papers citing papers by Ruslan Mitkov
This network shows the impact of papers produced by Ruslan Mitkov. 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 Ruslan Mitkov. The network helps show where Ruslan Mitkov may publish in the future.
Co-authorship network of co-authors of Ruslan Mitkov
This figure shows the co-authorship network connecting the top 25 collaborators of Ruslan Mitkov. A scholar is included among the top collaborators of Ruslan Mitkov 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 Ruslan Mitkov. Ruslan Mitkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | RGCL at GermEval 2019: Offensive Language Detection with Deep Learning. | 4 |
| 4 | Compiling Specialised Comparable Corpora. Should we always trust (Semi-)automatic Compilation Tools? | 1 |
| 5 | 1 | |
| 6 | Evaluating the readability of text simplification output for readers with cognitive disabilities | 12 |
| 7 | A corpus of text data and gaze fixations from autistic and non-autistic adults | 13 |
| 8 | Anaphora Processing and Applications: 8th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2011, Faro Portugal, October 6-7, 2011. Revised ... / Lecture Notes in Artificial Intelligence) | 1 |
| 9 | CLCM - A Linguistic Resource for Effective Simplification of Instructions in the Crisis Management Domain and its Evaluations | 2 |
| 10 | Automatic Question Generation in Multimedia-Based Learning | 2 |
| 11 | A machine learning method for identifying impersonal constructions and zero pronouns in Spanish | 3 |
| 12 | Anaphora Resolution Exercise: An overview | 15 |
| 13 | Translation universals: do they exist? A corpus-based NLP study of convergence and simplification | 26 |
| 14 | Mutual terminology extraction using a statistical framework | 4 |
| 15 | 0 | |
| 16 | If “it” were “then”, then when was “it”? Establishing the anaphoric role of “then” | 1 |
| 17 | Categorizing Web Pages as a Preprocessing Step for Information Extraction | 1 |
| 18 | Annotation of anaphoric expressions in an aligned bilingual corpus | 1 |
| 19 | 51 | |
| 20 | Lexical transfer and resolution of pronominal anaphors in machine translation : the English-to-Korean case | 3 |
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.