Dan Tecuci

470 total citations
12 papers, 248 citations indexed

About

Dan Tecuci is a scholar working on Artificial Intelligence, Political Science and International Relations and Automotive Engineering. According to data from OpenAlex, Dan Tecuci has authored 12 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Political Science and International Relations and 1 paper in Automotive Engineering. Recurrent topics in Dan Tecuci's work include Semantic Web and Ontologies (9 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (5 papers). Dan Tecuci is often cited by papers focused on Semantic Web and Ontologies (9 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (5 papers). Dan Tecuci collaborates with scholars based in United States, Germany and Australia. Dan Tecuci's co-authors include Brian J. Stankiewicz, Benjamin Kuipers, Bruce Porter, Ken Barker, James Fan, Peter E. Clark, Peter Z. Yeh, Sunil Kumar Mishra, Vinay K. Chaudhri and Ulli Waltinger and has published in prestigious journals such as Environment and Behavior, AI Magazine and Principles of Knowledge Representation and Reasoning.

In The Last Decade

Dan Tecuci

12 papers receiving 215 citations

Peers

Dan Tecuci

AI

AE

GPD

BC

ECP

Joana Hois Germany

Scott M. Freundschuh United States

Srinivasan Janarthanam United Kingdom

Ingmar Rauschert United States

Lucio Ieronutti Italy

Enkhbold Nyamsuren Netherlands

Tim Schwartz Germany

David Medyckyj-Scott United Kingdom

Douglas P. Metzler United States

Anders Bouwer Netherlands

Joana Hois Germany

Dan Tecuci

132 ×0.9

AI

36 ×0.5

AE

37 ×1.0

GPD

21 ×0.8

BC

26 ×1.2

ECP

Citations per year, relative to Dan Tecuci Dan Tecuci (= 1×) peers Joana Hois

Countries citing papers authored by Dan Tecuci

Since Specialization

Citations

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

Fields of papers citing papers by Dan Tecuci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Tecuci

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

All Works

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12 of 12 papers shown

1.

Tecuci, Dan, et al.. (2020). DICR: AI Assisted, Adaptive Platform for Contract Review. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13638–13639. 3 indexed citations

2.

Waltinger, Ulli, et al.. (2014). Natural Language Access to Enterprise Data. AI Magazine. 35(1). 38–52. 10 indexed citations

3.

Waltinger, Ulli, et al.. (2013). USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data. Proceedings of the AAAI Conference on Artificial Intelligence. 27(2). 1471–1478. 8 indexed citations

4.

Gunning, David, Vinay K. Chaudhri, Peter E. Clark, et al.. (2010). Project Halo Update — Progress Toward Digital Aristotle. AI Magazine. 31(3). 33–58. 41 indexed citations

5.

Tecuci, Dan & Bruce Porter. (2009). Memory based goal schema recognition. The Florida AI Research Society. 871(1-2). 111–116. 6 indexed citations

6.

Barker, Ken, et al.. (2009). A Scalable Problem-Solver for Large Knowledge-Bases. 461–468. 1 indexed citations

7.

Barker, Ken, James Fan, Noah S. Friedland, et al.. (2007). Learning by reading: a prototype system, performance baseline and lessons learned. National Conference on Artificial Intelligence. 280–286. 32 indexed citations

8.

Porter, Bruce & Dan Tecuci. (2007). A generic memory module for events. The Florida AI Research Society. 152–157. 22 indexed citations

9.

Yeh, Peter Z., et al.. (2007). Capturing a taxonomy of failures during automatic interpretation of questions posed in natural language. 71–78. 1 indexed citations

10.

Tecuci, Dan & Bruce Porter. (2006). Using an Episodic Memory Module for Pattern Capture and Recognition.. National Conference on Artificial Intelligence. 68–73. 3 indexed citations

11.

Barker, Ken, Vinay K. Chaudhri, Peter E. Clark, et al.. (2004). A question-answering system for AP chemistry: assessing KR&R technologies. Principles of Knowledge Representation and Reasoning. 488–497. 24 indexed citations

12.

Kuipers, Benjamin, Dan Tecuci, & Brian J. Stankiewicz. (2003). The Skeleton In The Cognitive Map. Environment and Behavior. 35(1). 81–106. 97 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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