Todor Markov
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 1%
- Materials Chemistry
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Stephen J. HarrisStefano ErmonNorman JinRichard D. BraatzPatrick K. HerringBryan CheongKristen SeversonAditya Grover
- Topics
- Evolutionary Algorithms and Applications (1 paper)Fuel Cells and Related Materials (1 paper)Hate Speech and Cyberbullying Detection (1 paper)
- Cited by
- Automotive EngineeringElectrical and Electronic EngineeringSafety, Risk, Reliability and Quality
- Journals
- NaturearXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United States
In The Last Decade
Todor Markov
3 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 597
- Automotive Engineering 549
- Materials Chemistry 132
- Control and Systems Engineering 86
- Artificial Intelligence 74
Countries citing papers authored by Todor Markov
This map shows the geographic impact of Todor 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 Todor Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todor Markov more than expected).
Fields of papers citing papers by Todor Markov
This network shows the impact of papers produced by Todor 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 Todor Markov. The network helps show where Todor Markov may publish in the future.
Co-authorship network of co-authors of Todor Markov
This figure shows the co-authorship network connecting the top 25 collaborators of Todor Markov. A scholar is included among the top collaborators of Todor 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 Todor Markov. Todor Markov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | Emergent Tool Use From Multi-Agent Autocurricula | 20 |
| 3 | Closed-loop optimization of fast-charging protocols for batteries with machine learningbreakdown → | 748 |
About Todor Markov
Todor Markov is a scholar working on Automotive Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 3 papers that have together received 821 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (1 paper), Fuel Cells and Related Materials (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Automotive Engineering (549 citations), Electrical and Electronic Engineering (597 citations) and Safety, Risk, Reliability and Quality (67 citations). Todor Markov has collaborated with scholars based in United States. Frequent co-authors include Stephen J. Harris, Stefano Ermon, Norman Jin, Richard D. Braatz, Patrick K. Herring, Bryan Cheong, Kristen Severson, Aditya Grover, Muratahan Aykol and William C. Chueh. Their work appears in journals such as Nature, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.