Shirin Sohrabi

1.2k total citations
41 papers, 561 citations indexed

About

Shirin Sohrabi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Shirin Sohrabi has authored 41 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Shirin Sohrabi's work include AI-based Problem Solving and Planning (25 papers), Logic, Reasoning, and Knowledge (10 papers) and Constraint Satisfaction and Optimization (7 papers). Shirin Sohrabi is often cited by papers focused on AI-based Problem Solving and Planning (25 papers), Logic, Reasoning, and Knowledge (10 papers) and Constraint Satisfaction and Optimization (7 papers). Shirin Sohrabi collaborates with scholars based in United States, Canada and Chile. Shirin Sohrabi's co-authors include Sheila A. McIlraith, Octavian Udrea, Michael Katz, Jorge A. Baier, Anton Riabov, John Mylopoulos, Sotirios Liaskos, Oktie Hassanzadeh, Mark Feblowitz and Kavitha Srinivas and has published in prestigious journals such as Requirements Engineering, Concurrency and Computation Practice and Experience and Semantic Web.

In The Last Decade

Shirin Sohrabi

35 papers receiving 440 citations

Peers

Shirin Sohrabi

CNC

SOFTW

CTM

Christopher Landauer United States

Gerardo Schneider Sweden

Mohammad Abdallah Jordan

Fabio Patrizi Italy

Vítor E. Silva Souza Brazil

Christophe Dony France

Jörg Hoffmann Germany

Panagiotis Katsaros Greece

Timo Soininen Finland

Ike Nassi United States

Christopher Landauer United States

Shirin Sohrabi

338 ×0.7

145 ×0.9

164 ×1.4

CNC

69 ×1.2

SOFTW

61 ×1.1

CTM

Citations per year, relative to Shirin Sohrabi Shirin Sohrabi (= 1×) peers Christopher Landauer

Countries citing papers authored by Shirin Sohrabi

Since Specialization

Citations

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

Fields of papers citing papers by Shirin Sohrabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirin Sohrabi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Junkyu, et al.. (2024). Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23635–23636.

Srinivas, Kavitha, et al.. (2024). Large Language Models as Planning Domain Generators (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23604–23605.

Katz, Michael, et al.. (2024). Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning. Proceedings of the International Symposium on Combinatorial Search. 17. 213–217. 2 indexed citations

Katz, Michael, Junkyu Lee, & Shirin Sohrabi. (2024). Unifying and Certifying Top-Quality Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 34. 319–323. 2 indexed citations

Srinivas, Kavitha, et al.. (2024). Large Language Models as Planning Domain Generators. Proceedings of the International Conference on Automated Planning and Scheduling. 34. 423–431. 1 indexed citations

Chakraborti, Tathagata, et al.. (2024). Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23775–23777.

Behnke, Gregor, David Speck, Michael Katz, & Shirin Sohrabi. (2023). On Partial Satisfaction Planning with Total-Order HTNs. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 42–51.

Lee, Junkyu, et al.. (2023). Action Space Reduction for Planning Domains. 5394–5401.

Klassen, Toryn Q., et al.. (2020). Epistemic Plan Recognition. Adaptive Agents and Multi-Agents Systems. 1251–1259. 6 indexed citations

10.

Hassanzadeh, Oktie, Debarun Bhattacharjya, Mark Feblowitz, et al.. (2019). Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. 5003–5009. 32 indexed citations

11.

Sohrabi, Shirin, Anton Riabov, Michael Katz, & Octavian Udrea. (2018). An AI Planning Solution to Scenario Generation for Enterprise Risk Management. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 22 indexed citations

12.

Parkinson, Simon, Mauro Vallati, Andrew Crampton, & Shirin Sohrabi. (2018). GraphBAD: A general technique for anomaly detection in security information and event management. Concurrency and Computation Practice and Experience. 30(16). 13 indexed citations

13.

Katz, Michael, et al.. (2018). A Novel Iterative Approach to Top-k Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 28. 132–140. 33 indexed citations

14.

Sohrabi, Shirin, Anton Riabov, Octavian Udrea, & Yuan Fang. (2017). Using Lightweight Semantic Models to Assist Risk Management in a Large Enterprise.. 3 indexed citations

15.

Sohrabi, Shirin, Anton Riabov, & Octavian Udrea. (2016). Plan recognition as planning revisited. International Joint Conference on Artificial Intelligence. 3258–3264. 73 indexed citations

16.

Sohrabi, Shirin, Octavian Udrea, Anand Ranganathan, & Anton Riabov. (2013). HTN Planning for the Composition of Stream Processing Applications. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 443–451. 3 indexed citations

17.

Xin, Reynold, Oktie Hassanzadeh, Christian Fritz, Shirin Sohrabi, & Renée J. Miller. (2013). Publishing bibliographic data on the Semantic Web using BibBase. Semantic Web. 4(1). 15–22. 11 indexed citations

18.

Sohrabi, Shirin, Jorge A. Baier, & Sheila A. McIlraith. (2010). Diagnosis as planning revisited. Principles of Knowledge Representation and Reasoning. 26–36. 28 indexed citations

19.

Sohrabi, Shirin, Jorge A. Baier, & Sheila A. McIlraith. (2010). Diagnosis as Planning Revisited: An Abridged Report. Annual Conference of the PHM Society. 2(2). 2 indexed citations

20.

Sohrabi, Shirin, Jorge A. Baier, & Sheila A. McIlraith. (2009). HTN planning with preferences. International Joint Conference on Artificial Intelligence. 1790–1797. 53 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.

Explore authors with similar magnitude of impact