What is he best known for?
The fields of study he is best known for:
- World War II
- Artificial intelligence
- Ecology
David Held focuses on Politics, Democracy, Political economy, Globalization and Global politics.
His Politics research integrates issues from Hermeneutics and Public administration.
His Democracy study combines topics from a wide range of disciplines, such as Sovereignty, Civil society and Nation state.
His Globalization study frequently links to adjacent areas such as Social science.
The concepts of his Global politics study are interwoven with issues in Subject, Polity, Corporate governance, Global governance and Environmental ethics.
His work carried out in the field of Representative democracy brings together such families of science as Cosmopolitan democracy, Direct democracy and Liberal democracy.
His most cited work include:
- Global Transformations: Politics, Economics, and Culture (2657 citations)
- Models of Democracy (1869 citations)
- Democracy and the Global Order: From the Modern State to Cosmopolitan Governance (1561 citations)
What are the main themes of his work throughout his whole career to date?
David Held spends much of his time researching Political economy, Politics, Artificial intelligence, Globalization and Democracy.
He interconnects Economic system, State and Economic globalization in the investigation of issues within Political economy.
Politics is the subject of his research, which falls under Law.
David Held combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence.
He regularly links together related areas like Social science in his Globalization studies.
His studies link Sovereignty with Democracy.
He most often published in these fields:
- Political economy (17.45%)
- Politics (17.45%)
- Artificial intelligence (15.89%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (15.89%)
- Computer vision (7.79%)
- Robot (5.61%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Robot, Reinforcement learning and Object.
He is interested in Point cloud, which is a field of Artificial intelligence.
His Point cloud research includes elements of Artificial neural network and Algorithm.
His research in Computer vision intersects with topics in Detector and Robustness.
His studies examine the connections between Robot and genetics, as well as such issues in Inference, with regards to Leverage.
David Held studied Reinforcement learning and Mathematical optimization that intersect with Control.
Between 2016 and 2021, his most popular works were:
- Constrained policy optimization (231 citations)
- Reverse Curriculum Generation for Reinforcement Learning (138 citations)
- PCN: Point Completion Network (133 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- World War II
- Ecology
David Held mainly focuses on Artificial intelligence, Reinforcement learning, Robot, Function and Artificial neural network.
His work deals with themes such as Machine learning, State and Computer vision, which intersect with Artificial intelligence.
His work on Motion as part of general Computer vision study is frequently linked to Training, Consistency and Flow estimation, therefore connecting diverse disciplines of science.
His Reinforcement learning research includes themes of Mathematics education and Curriculum.
His Robot study also includes fields such as
- Inference together with Management science, Human–robot interaction and Leverage,
- Human–computer interaction together with Observability and Curse of dimensionality,
- Process that intertwine with fields like Global warming, Corporate governance, Climate governance and Climate change.
His Artificial neural network research incorporates themes from Control and Mathematical optimization, Search algorithm.
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