Philipp Moritz

6.9k citations
19 papers · 1.9k · 1 hit paper · h-index 10

Impact in

Papers in

Philipp Moritz

17 papers receiving 1.7k citations

Philipp Moritz's Hit Papers

Trust Region Policy Optimization 2015 · 1.6k citations
1.6k0+3+7Years since publication50010001.5k

Peers

Philipp Moritz
Comparison fields: 5 of 114
  • Artificial Intelligence 1.1k
  • Control and Systems Engineering 468
  • Automotive Engineering 217
  • Computer Vision and Pattern Recognition 314
  • Management Science and Operations Research 160
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Bilal Piot United Kingdom
Dan Horgan United Kingdom
Matthijs T. J. Spaan Netherlands
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Mohammad Gheshlaghi Azar United Kingdom
Shixiang Gu United States
Ka Lok Man China
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Countries citing papers authored by Philipp Moritz

Since Specialization
Citations

This map shows the geographic impact of Philipp Moritz'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 Philipp Moritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Moritz more than expected).

Fields of papers citing papers by Philipp Moritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Moritz. 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 Philipp Moritz. The network helps show where Philipp Moritz may publish in the future.

Co-authors

The 25 scholars most cited alongside Philipp Moritz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philipp Moritz Line = papers co-authored together Philipp Moritz links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Trust Region Policy Optimization
Hit paper breakdown →
20151573
2
RLlib: Abstractions for Distributed Reinforcement Learning
201850
3
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
201749
4
A Linearly-Convergent Stochastic L-BFGS Algorithm
201639
5 201735
6 201925
7 202120
8 202017
9 202114
10 20219
11 20209
12 20235
13 20234
14 20232
15 20142
16 20222
17 20201
18 20240
19
Ray: A Distributed Execution Engine for the Machine Learning Ecosystem
20190

About Philipp Moritz

Philipp Moritz is a scholar working on Information Systems, Computer Networks and Communications, Surgery, Hardware and Architecture and Artificial Intelligence, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Surgical Sutures and Adhesives (4 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Reinforcement Learning in Robotics (2 papers), Polymer Surface Interaction Studies (2 papers), Advanced Cellulose Research Studies (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Control and Systems Engineering (468 citations), Automotive Engineering (217 citations), Computer Vision and Pattern Recognition (314 citations) and Management Science and Operations Research (160 citations). Philipp Moritz has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Michael I. Jordan, John Schulman, Pieter Abbeel, Sergey Levine, Robert Nishihara, Ion Stoica, Richard Liaw, Eric Liang, Roy Fox and Joseph E. Gonzalez. Their work appears in journals such as ACS Sustainable Chemistry & Engineering, Kybernetika, The Journal of Adhesion, ChemPhysChem and The Journal of Physical Chemistry C.

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.

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