Dominik Jain

627 total citations
16 papers, 326 citations indexed

About

Dominik Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dominik Jain has authored 16 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Dominik Jain's work include AI-based Problem Solving and Planning (7 papers), Bayesian Modeling and Causal Inference (5 papers) and Logic, Reasoning, and Knowledge (4 papers). Dominik Jain is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Bayesian Modeling and Causal Inference (5 papers) and Logic, Reasoning, and Knowledge (4 papers). Dominik Jain collaborates with scholars based in Germany. Dominik Jain's co-authors include Michael Beetz, Moritz Tenorth, Lorenz Mösenlechner, Lars Kunze, Nico Blodow, Zoltán-Csaba Márton, Jan Bandouch, Radu Bogdan Rusu, Dejan Pangercic and Ulrich Klank and has published in prestigious journals such as Proceedings of the IEEE, Robotics and Autonomous Systems and Technology and Disability.

In The Last Decade

Dominik Jain

16 papers receiving 301 citations

Peers

Dominik Jain
Comparison fields: 5 of 42
  • Artificial Intelligence 167
  • Computer Vision and Pattern Recognition 139
  • Control and Systems Engineering 121
  • Aerospace Engineering 66
  • Social Psychology 26
Felix Duvallet United States
Thomas M. Howard United States
Yoichiro Maeda Japan
Alper Aydemir Sweden
Emanuele Bastianelli Italy
G. Ramel Switzerland
Daehyung Park United States
Linxi Fan United States
Thomas Rühr Germany
Tingting Xu China
Felix Duvallet United States View profile →
Citations per field, relative to Dominik Jain
Dominik Jain · 1×
Citations per year, relative to Dominik Jain
Dominik Jain · 1×

Countries citing papers authored by Dominik Jain

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Jain. A scholar is included among the top collaborators of Dominik Jain 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 Dominik Jain. Dominik Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 19
2 41
3 17
4
Diagnostic Hypothesis Enumeration vs. Probabilistic Inference for Hierarchical Automata Models
2
5
A Robot that Shops for and Stores Groceries
1
6
Knowledge Engineering with Markov Logic Networks: A Review
12
7 26
8 62
9 20
10 14
11 35
12
Towards Automated Models of Activities of Daily Life
2
13
Bayesian Logic Networks
14
14 29
15
Markov Logic as a Modelling Language for Weighted Constraint Satisfaction Problems
2
16 30

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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2026