Danesh Tarapore
- Artificial Intelligence top 5%
- Biomedical Engineering
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Jean-Baptiste MouretJeff CluneAntoine CullyAnders Lyhne ChristensenJon TimmisKlaus‐Peter ZaunerLaurent KellerDario Floreano
- Topics
- Artificial Immune Systems Applications (9 papers)Reinforcement Learning in Robotics (8 papers)Gene Regulatory Network Analysis (5 papers)
- Partner nations
- United KingdomPortugalSwitzerland
In The Last Decade
Danesh Tarapore
27 papers receiving 789 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 321
- Biomedical Engineering 204
- Mechanical Engineering 188
- Control and Systems Engineering 167
- Computer Networks and Communications 97
Countries citing papers authored by Danesh Tarapore
This map shows the geographic impact of Danesh Tarapore'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 Danesh Tarapore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danesh Tarapore more than expected).
Fields of papers citing papers by Danesh Tarapore
This network shows the impact of papers produced by Danesh Tarapore. 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 Danesh Tarapore. The network helps show where Danesh Tarapore may publish in the future.
Co-authorship network of co-authors of Danesh Tarapore
This figure shows the co-authorship network connecting the top 25 collaborators of Danesh Tarapore. A scholar is included among the top collaborators of Danesh Tarapore 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 Danesh Tarapore. Danesh Tarapore 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 33 | |
| 12 | Robots that can adapt like animalsbreakdown → | 566 |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 18 | |
| 18 | 19 | |
| 19 | Information-theoretic approach to embodied category learning | 3 |
| 20 | Fingerprinting Agent-Environment Interaction via Information Theory | 6 |
About Danesh Tarapore
Danesh Tarapore is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering, having authored 31 papers that have together received 818 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (9 papers), Reinforcement Learning in Robotics (8 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Control and Systems Engineering (167 citations) and Mechanical Engineering (188 citations). Danesh Tarapore has collaborated with scholars based in United Kingdom, Portugal and Switzerland. Frequent co-authors include Jean-Baptiste Mouret, Jeff Clune, Antoine Cully, Anders Lyhne Christensen, Jon Timmis, Klaus‐Peter Zauner, Laurent Keller, Dario Floreano, Pedro U. Lima and Jorge Carneiro. Their work appears in journals such as Nature, PLoS ONE and The American Naturalist.
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.