Geert-Jan M. Kruijff

1.7k total citations
66 papers, 870 citations indexed

About

Geert-Jan M. Kruijff is a scholar working on Artificial Intelligence, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Geert-Jan M. Kruijff has authored 66 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 11 papers in Social Psychology and 11 papers in Control and Systems Engineering. Recurrent topics in Geert-Jan M. Kruijff's work include Speech and dialogue systems (23 papers), Natural Language Processing Techniques (16 papers) and AI-based Problem Solving and Planning (15 papers). Geert-Jan M. Kruijff is often cited by papers focused on Speech and dialogue systems (23 papers), Natural Language Processing Techniques (16 papers) and AI-based Problem Solving and Planning (15 papers). Geert-Jan M. Kruijff collaborates with scholars based in Germany, United Kingdom and Slovenia. Geert-Jan M. Kruijff's co-authors include Hendrik Zender, Jason Baldridge, Patric Jensfelt, John D. Kelleher, Henrik I. Christensen, Nick Hawes, Ivana Kruijff‐Korbayová, Jeremy Wyatt, Wolfram Burgard and Pierre Lison and has published in prestigious journals such as Computer Vision and Image Understanding, Language Resources and Evaluation and International Journal of Advanced Robotic Systems.

In The Last Decade

Geert-Jan M. Kruijff

62 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geert-Jan M. Kruijff Germany 16 536 257 175 147 140 66 870
Dennis Perzanowski United States 11 298 0.6× 207 0.8× 208 1.2× 202 1.4× 82 0.6× 28 612
Hendrik Zender Germany 13 327 0.6× 345 1.3× 193 1.1× 93 0.6× 248 1.8× 23 710
Magda Bugajska United States 12 311 0.6× 235 0.9× 289 1.7× 360 2.4× 125 0.9× 17 806
Elin Anna Topp Sweden 13 208 0.4× 251 1.0× 278 1.6× 231 1.6× 129 0.9× 46 647
Ivana Kruijff‐Korbayová Germany 14 401 0.7× 67 0.3× 56 0.3× 86 0.6× 50 0.4× 67 604
David R. McGee United States 17 743 1.4× 230 0.9× 100 0.6× 140 1.0× 7 0.1× 32 1.1k
Naoto Iwahashi Japan 17 508 0.9× 294 1.1× 171 1.0× 76 0.5× 42 0.3× 62 757
Dominik Joho Germany 9 99 0.2× 170 0.7× 103 0.6× 140 1.0× 104 0.7× 13 400
Marcello Frixione Italy 12 344 0.6× 121 0.5× 60 0.3× 37 0.3× 16 0.1× 46 552
Katashi Nagao Japan 12 236 0.4× 435 1.7× 71 0.4× 112 0.8× 31 0.2× 61 819

Countries citing papers authored by Geert-Jan M. Kruijff

Since Specialization
Citations

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

Fields of papers citing papers by Geert-Jan M. Kruijff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert-Jan M. Kruijff. 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 Geert-Jan M. Kruijff. The network helps show where Geert-Jan M. Kruijff may publish in the future.

Co-authorship network of co-authors of Geert-Jan M. Kruijff

This figure shows the co-authorship network connecting the top 25 collaborators of Geert-Jan M. Kruijff. A scholar is included among the top collaborators of Geert-Jan M. Kruijff 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 Geert-Jan M. Kruijff. Geert-Jan M. Kruijff 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.
Kelleher, John D. & Geert-Jan M. Kruijff. (2021). A Context-Dependent Model of Proximity in Physically Situated Environments. Arrow - TU Dublin (Technological University Dublin).
2.
Fritz, Mario, Geert-Jan M. Kruijff, & Bernt Schiele. (2019). Cross-Modal Learning of Visual Categories using Different Levels of Supervision. PUB – Publications at Bielefeld University (Bielefeld University). 1–10.
3.
Kruijff, Geert-Jan M., et al.. (2013). Trust and autonomous systems : papers from the AAAI Spring Symposium. 15 indexed citations
4.
Krieger, Hans‐Ulrich & Geert-Jan M. Kruijff. (2011). Combining Uncertainty and Description Logic Rule-Based Reasoning in Situation-Aware Robots. National Conference on Artificial Intelligence. 4 indexed citations
5.
6.
Zender, Hendrik, et al.. (2010). Anchor-progression in spatially situated discourse: a production experiment. 209–213. 1 indexed citations
7.
Lison, Pierre & Geert-Jan M. Kruijff. (2010). Policy Activation for Open-Ended Dialogue Management. National Conference on Artificial Intelligence. 2 indexed citations
8.
Zender, Hendrik, Geert-Jan M. Kruijff, & Ivana Kruijff‐Korbayová. (2009). Situated resolution and generation of spatial referring expressions for robotic assistants. International Joint Conference on Artificial Intelligence. 1604–1609. 25 indexed citations
9.
Kruijff, Geert-Jan M., Michael P. Brenner, & Nick Hawes. (2008). Continual planning for cross-modal situated clarification in human-robot interaction. University of Birmingham Research Portal (University of Birmingham). 592–597. 13 indexed citations
10.
Kruijff, Geert-Jan M. & Michael Brenner. (2007). Modelling Spatio-Temporal Comprehension in Situated Human-Robot Dialogue as Reasoning about Intentions and Plans.. National Conference on Artificial Intelligence. 19–25. 9 indexed citations
11.
Zender, Hendrik, Patric Jensfelt, Óscar Martínez Mozos, Geert-Jan M. Kruijff, & Wolfram Burgard. (2007). An integrated robotic system for spatial understanding and situated interaction in indoor environments. Lincoln Repository (University of Lincoln). 1584–1589. 35 indexed citations
12.
Zender, Hendrik & Geert-Jan M. Kruijff. (2007). Multi-Layered Conceptual Spatial Mapping for Autonomous Mobile Robots.. National Conference on Artificial Intelligence. 62. 9 indexed citations
13.
Zender, Hendrik, Patric Jensfelt, & Geert-Jan M. Kruijff. (2007). Human- and Situation-Aware People Following. 1131–1136. 32 indexed citations
14.
Kruijff, Geert-Jan M.. (2006). Talking on the Moon.. National Conference on Artificial Intelligence. 16–25. 1 indexed citations
15.
Kelleher, John D. & Geert-Jan M. Kruijff. (2005). A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments. 11 indexed citations
16.
Kruijff, Geert-Jan M.. (2005). Context-sensitive Utterance Planning for CCG. 3 indexed citations
17.
Baumann, Stefan, Silvia Hansen‐Schirra, Geert-Jan M. Kruijff, et al.. (2004). The MULI project : annotation and analysis of information structure in German and English. Language Resources and Evaluation. 7 indexed citations
18.
Baumann, Stefan, Silvia Hansen‐Schirra, Geert-Jan M. Kruijff, et al.. (2004). Multi-dimensional annotation of linguistic corpora for investigating information structure. Publication Server of the Institute for German Language (Institute for German Language). 39–46. 9 indexed citations
19.
Bateman, John, et al.. (2000). Resources for Multilingual Text Generation in Three Slavic Languages.. Language Resources and Evaluation. 6 indexed citations
20.
Kruijff, Geert-Jan M.. (1998). Labelled Deductive Systems, Volume 1, Dov M. Gabbay. Journal of Logic Language and Information. 7(4). 502–506. 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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