Tim Klinger

1.3k total citations
25 papers, 471 citations indexed

About

Tim Klinger is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tim Klinger has authored 25 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tim Klinger's work include Software Engineering Research (9 papers), Software Engineering Techniques and Practices (8 papers) and Natural Language Processing Techniques (8 papers). Tim Klinger is often cited by papers focused on Software Engineering Research (9 papers), Software Engineering Techniques and Practices (8 papers) and Natural Language Processing Techniques (8 papers). Tim Klinger collaborates with scholars based in United States, China and Singapore. Tim Klinger's co-authors include Gerald Tesauro, Bowen Zhou, Clay Williams, Peri Tarr, Kartik Talamadupula, Aaron Courville, Yoshua Bengio, Iulian Vlad Serban, Mo Yu and Jing Jiang and has published in prestigious journals such as Nature Machine Intelligence, The Journal of Object Technology and arXiv (Cornell University).

In The Last Decade

Tim Klinger

24 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Klinger United States 11 338 166 100 52 46 25 471
Arun Iyer India 7 151 0.4× 107 0.6× 30 0.3× 42 0.8× 14 0.3× 13 247
Alessandro Bianchi Italy 10 79 0.2× 196 1.2× 24 0.2× 104 2.0× 38 0.8× 29 293
Erika Nina Höhn Brazil 4 92 0.3× 231 1.4× 30 0.3× 73 1.4× 42 0.9× 9 313
Christopher L. Simons United Kingdom 9 124 0.4× 207 1.2× 25 0.3× 117 2.3× 42 0.9× 24 272
Sadahiro Isoda Japan 7 99 0.3× 230 1.4× 18 0.2× 74 1.4× 83 1.8× 22 323
Valentín Moreno Spain 6 155 0.5× 150 0.9× 10 0.1× 51 1.0× 12 0.3× 17 288
Pavlos Kefalas Greece 11 235 0.7× 309 1.9× 38 0.4× 34 0.7× 11 0.2× 19 420
Elder Cirilo Brazil 10 137 0.4× 224 1.3× 20 0.2× 87 1.7× 20 0.4× 40 286
Hsin-yi Jiang United States 7 99 0.3× 229 1.4× 26 0.3× 66 1.3× 10 0.2× 12 291
Christian F. J. Lange Netherlands 9 176 0.5× 271 1.6× 32 0.3× 161 3.1× 14 0.3× 12 318

Countries citing papers authored by Tim Klinger

Since Specialization
Citations

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

Fields of papers citing papers by Tim Klinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Klinger

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Klinger. A scholar is included among the top collaborators of Tim Klinger 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 Tim Klinger. Tim Klinger 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.
Ito, Takuya, Murray Campbell, Lior Horesh, Tim Klinger, & Parikshit Ram. (2025). Quantifying artificial intelligence through algorithmic generalization. Nature Machine Intelligence. 7(8). 1195–1205. 1 indexed citations
2.
Campbell, Murray, et al.. (2024). EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. 394–405. 1 indexed citations
3.
Kapanipathi, Pavan, et al.. (2023). Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. 8434–8448. 1 indexed citations
4.
5.
Sims, Chris R., et al.. (2021). Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. 1–8. 1 indexed citations
6.
Klinger, Tim, et al.. (2021). RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15841–15842. 1 indexed citations
7.
Cases, Ignacio, Matthew Riemer, Tim Klinger, et al.. (2019). Recursive Routing Networks: Learning to Compose Modules for Language Understanding. 3631–3648. 6 indexed citations
8.
Wang, Shuohang, Mo Yu, Xiaoxiao Guo, et al.. (2018). R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 5981–5988. 88 indexed citations
9.
Guo, Xiaoxiao, Tim Klinger, Joseph P. Bigus, et al.. (2017). Learning to Query, Reason, and Answer Questions On Ambiguous Texts. International Conference on Learning Representations. 7 indexed citations
10.
Wang, Shuohang, Mo Yu, Jing Jiang, et al.. (2017). Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1. 49 indexed citations
11.
Serban, Iulian Vlad, Tim Klinger, Gerald Tesauro, et al.. (2017). Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 88 indexed citations
12.
Serban, Iulian Vlad, Tim Klinger, Gerald Tesauro, et al.. (2016). Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. arXiv (Cornell University). 31(1). 3288–3294. 39 indexed citations
13.
Biem, Alain, Maria Butrico, Mark Feblowitz, et al.. (2015). Towards Cognitive Automation of Data Science. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 8 indexed citations
14.
Nguyen, Tung, et al.. (2012). Inferring developer expertise through defect analysis. International Conference on Software Engineering. 1297–1300. 10 indexed citations
15.
Klinger, Tim, et al.. (2009). Roles, rights, and responsibilities: Better governance through decision rights automation. 9–14. 11 indexed citations
16.
Cheng, Ping, Sunita Chulani, Yael Dubinsky, et al.. (2008). Jazz as a research platform: experience from the Software Development Governance Group at IBM Research. 2 indexed citations
17.
Klinger, Tim, et al.. (2008). Enacting responsibility assignment in software development environments. 7–10. 7 indexed citations
18.
Klinger, Tim, et al.. (2008). Less is More: A Minimalistic Approach to UML Model-Based Conformance Test Generation. 82–91. 15 indexed citations
19.
Klinger, Tim, et al.. (2006). Integrated solution engineering. 726–727. 4 indexed citations
20.
Paradkar, Amit & Tim Klinger. (2004). Automated consistency and completeness checking of testing models for interactive systems. 1785. 342–348. 1 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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