Jöerg Hoffmann

1.6k total citations
32 papers, 463 citations indexed

About

Jöerg Hoffmann is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jöerg Hoffmann has authored 32 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Jöerg Hoffmann's work include AI-based Problem Solving and Planning (23 papers), Logic, Reasoning, and Knowledge (15 papers) and Constraint Satisfaction and Optimization (8 papers). Jöerg Hoffmann is often cited by papers focused on AI-based Problem Solving and Planning (23 papers), Logic, Reasoning, and Knowledge (15 papers) and Constraint Satisfaction and Optimization (8 papers). Jöerg Hoffmann collaborates with scholars based in Germany, Israel and France. Jöerg Hoffmann's co-authors include Julie Porteous, Laura Sebastiá, Hootan Nakhost, Martin Mueller, Bart Selman, Carla P. Gomes, Marcel Steinmetz, Carmel Domshlak, Ashish Sabharwal and Michael Katz and has published in prestigious journals such as AI Magazine, INRIA a CCSD electronic archive server and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Jöerg Hoffmann

28 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jöerg Hoffmann Germany 11 404 151 92 51 46 32 463
Jordan Thayer United States 10 324 0.8× 188 1.2× 214 2.3× 27 0.5× 21 0.5× 18 405
J. Scott Penberthy United States 5 603 1.5× 197 1.3× 48 0.5× 91 1.8× 52 1.1× 7 660
Gabriele Röger Switzerland 11 441 1.1× 154 1.0× 118 1.3× 42 0.8× 13 0.3× 31 482
Alessandro Saetti Italy 11 653 1.6× 276 1.8× 116 1.3× 141 2.8× 59 1.3× 45 738
Brian Larson United States 9 96 0.2× 104 0.7× 60 0.7× 50 1.0× 98 2.1× 17 289
Luca Pulina Italy 11 253 0.6× 87 0.6× 25 0.3× 58 1.1× 51 1.1× 53 372
Giuseppe Della Penna Italy 9 182 0.5× 78 0.5× 34 0.4× 64 1.3× 60 1.3× 48 310
Franck Thollard France 7 278 0.7× 37 0.2× 49 0.5× 32 0.6× 42 0.9× 11 386
Mark Drummond United States 13 392 1.0× 178 1.2× 55 0.6× 24 0.5× 27 0.6× 38 527
Neng‐Fa Zhou United States 12 245 0.6× 109 0.7× 91 1.0× 33 0.6× 22 0.5× 39 330

Countries citing papers authored by Jöerg Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Jöerg Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jöerg Hoffmann

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

All Works

20 of 20 papers shown
1.
Hoffmann, Jöerg, et al.. (2023). Neural Policy Safety Verification via Predicate Abstraction: CEGAR. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 15188–15196.
2.
Hoffmann, Jöerg, et al.. (2023). A method for calibration of a particle concentration measurement system with artificial intelligence. AIP conference proceedings. 2955. 20041–20041.
3.
Hoffmann, Jöerg, et al.. (2021). Red-Black Planning: A New Tractability Analysis and Heuristic Function. Proceedings of the International Symposium on Combinatorial Search. 6(1). 44–52. 2 indexed citations
4.
Katz, Michael & Jöerg Hoffmann. (2021). Red-Black Relaxed Plan Heuristics Reloaded. Proceedings of the International Symposium on Combinatorial Search. 4(1). 105–113. 2 indexed citations
5.
Gu, Tianyi, et al.. (2020). Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 9827–9834. 3 indexed citations
6.
Shani, Guy, et al.. (2018). Simulated Penetration Testing as Contingent Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 28. 241–249. 9 indexed citations
7.
Steinmetz, Marcel & Jöerg Hoffmann. (2018). LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning. 4837–4843. 3 indexed citations
8.
Torralba, Álvaro, et al.. (2016). From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation. International Conference on Computational Linguistics. 1524–1534. 2 indexed citations
9.
Steinmetz, Marcel & Jöerg Hoffmann. (2016). Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 13 indexed citations
10.
Hoffmann, Jöerg & Bernhard Nebel. (2014). RIFO Revisited: Detecting Relaxed Irrelevance. 2 indexed citations
11.
Nakhost, Hootan, Jöerg Hoffmann, & Martin Mueller. (2012). Resource-Constrained Planning: A Monte Carlo Random Walk Approach. Proceedings of the International Conference on Automated Planning and Scheduling. 22. 181–189. 45 indexed citations
12.
Hoffmann, Jöerg. (2011). Where Ignoring Delete Lists Works, Part II: Causal Graphs. Proceedings of the International Conference on Automated Planning and Scheduling. 21. 98–105. 8 indexed citations
13.
Hoffmann, Jöerg, et al.. (2010). Improving Local Search for Resource-Constrained Planning. University of Alberta Library. 8 indexed citations
14.
Buffet, Olivier & Jöerg Hoffmann. (2010). All that Glitters is not Gold: Using Landmarks for Reward Shaping in FPG. HAL (Le Centre pour la Communication Scientifique Directe).
15.
Brafman, Ronen I., Héctor Geffner, Jöerg Hoffmann, & Henry Kautz. (2010). Proceedings of the 20th International Conference on Automated Planning and Scheduling (ICAPS'10). HAL (Le Centre pour la Communication Scientifique Directe). 274. 16 indexed citations
16.
Hoffmann, Jöerg, et al.. (2009). Enhancing the Context-Enhanced Additive Heuristic with Precedence Constraints. Proceedings of the International Conference on Automated Planning and Scheduling. 19. 50–57. 15 indexed citations
17.
Gomes, Carla P., Jöerg Hoffmann, Ashish Sabharwal, & Bart Selman. (2007). From sampling to model counting. International Joint Conference on Artificial Intelligence. 2293–2299. 45 indexed citations
18.
Hoffmann, Jöerg, Carla P. Gomes, & Bart Selman. (2006). STRUCTURE AND PROBLEM HARDNESS: GOAL ASYMMETRY AND DPLL PROOFS IN SAT-BASED PLANNING. 8 indexed citations
19.
Hoffmann, Jöerg. (2001). FF: The Fast-Forward Planning System. AI Magazine. 22(3). 57–57. 125 indexed citations
20.
Porteous, Julie, Laura Sebastiá, & Jöerg Hoffmann. (2001). On the extraction, ordering, and usage of landmarks in planning. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 59 indexed citations

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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