Todor Mihaylov
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Signal Processing
- Co-authors
- Preslav NakovPeter E. ClarkTushar KhotAshish SabharwalGeorgi GeorgievAnette FrankIvan KoychevLluı́s Màrquez
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (8 papers)Spam and Phishing Detection (3 papers)
- Journals
- Internet ResearchResearch at the University of Copenhagen (University of Copenhagen)arXiv (Cornell University)
In The Last Decade
Todor Mihaylov
17 papers receiving 570 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 518
- Information Systems 156
- Computer Vision and Pattern Recognition 142
- Sociology and Political Science 104
- Signal Processing 27
Countries citing papers authored by Todor Mihaylov
This map shows the geographic impact of Todor Mihaylov'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 Todor Mihaylov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todor Mihaylov more than expected).
Fields of papers citing papers by Todor Mihaylov
This network shows the impact of papers produced by Todor Mihaylov. 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 Todor Mihaylov. The network helps show where Todor Mihaylov may publish in the future.
Co-authorship network of co-authors of Todor Mihaylov
This figure shows the co-authorship network connecting the top 25 collaborators of Todor Mihaylov. A scholar is included among the top collaborators of Todor Mihaylov 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 Todor Mihaylov. Todor Mihaylov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answeringbreakdown → | 284 |
| 8 | 2 | |
| 9 | 40 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 42 | |
| 13 | 40 | |
| 14 | 20 | |
| 15 | 80 | |
| 16 | 4 | |
| 17 | 13 |
About Todor Mihaylov
Todor Mihaylov is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 17 papers that have together received 621 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (518 citations), Computer Vision and Pattern Recognition (142 citations) and Information Systems (156 citations). Todor Mihaylov has collaborated with scholars based in Germany, Bulgaria and Qatar. Frequent co-authors include Preslav Nakov, Peter E. Clark, Tushar Khot, Ashish Sabharwal, Georgi Georgiev, Anette Frank, Ivan Koychev, Lluı́s Màrquez, María José Marcelino and António José Mendes. Their work appears in journals such as Internet Research, Research at the University of Copenhagen (University of Copenhagen) and arXiv (Cornell University).
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.