Tim Baldwin

506 total citations
12 papers, 316 citations indexed

About

Tim Baldwin is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Tim Baldwin has authored 12 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geography, Planning and Development, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Tim Baldwin's work include Geographic Information Systems Studies (4 papers), Data Management and Algorithms (3 papers) and Natural Language Processing Techniques (3 papers). Tim Baldwin is often cited by papers focused on Geographic Information Systems Studies (4 papers), Data Management and Algorithms (3 papers) and Natural Language Processing Techniques (3 papers). Tim Baldwin collaborates with scholars based in Australia, Italy and Singapore. Tim Baldwin's co-authors include Paul Cook, Bo Han, Mona Diab, Marco Baroni, Min‐Yen Kan, Leon Derczynski, Bo Han, Wei Xu, Alan Ritter and Lawrence Cavedon and has published in prestigious journals such as Journal of Artificial Intelligence Research, Minerva Access (University of Melbourne) and RMIT Research Repository (RMIT University Library).

In The Last Decade

Tim Baldwin

11 papers receiving 283 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 Baldwin Australia 6 150 103 97 66 52 12 316
Hamed Abdelhaq Palestinian Territory 6 99 0.7× 87 0.8× 33 0.3× 103 1.6× 107 2.1× 13 276
Krishna Kamath United States 10 76 0.5× 83 0.8× 18 0.2× 82 1.2× 102 2.0× 26 262
Steven Van Canneyt Belgium 9 136 0.9× 50 0.5× 24 0.2× 56 0.8× 40 0.8× 13 243
Ting Hua United States 8 122 0.8× 32 0.3× 9 0.1× 66 1.0× 91 1.8× 12 233
Desislava Hristova United Kingdom 7 59 0.4× 86 0.8× 18 0.2× 21 0.3× 97 1.9× 15 239
Dimitrios Kotzias United States 6 179 1.2× 38 0.4× 13 0.1× 68 1.0× 18 0.3× 10 275
Lalindra De Silva United States 6 365 2.4× 20 0.2× 10 0.1× 75 1.1× 36 0.7× 6 448
Dario Freni Italy 7 286 1.9× 89 0.9× 18 0.2× 22 0.3× 4 0.1× 10 373
Sourav Kumar Dandapat India 11 168 1.1× 9 0.1× 8 0.1× 45 0.7× 56 1.1× 39 288
Eric Malmi Finland 10 225 1.5× 22 0.2× 8 0.1× 40 0.6× 11 0.2× 26 304

Countries citing papers authored by Tim Baldwin

Since Specialization
Citations

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

Fields of papers citing papers by Tim Baldwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Baldwin

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

All Works

12 of 12 papers shown
1.
Vylomova, Ekaterina, et al.. (2019). Modelling Tibetan Verbal Morphology. 35–40. 1 indexed citations
3.
Han, Bo, Alan Ritter, Leon Derczynski, Wei Xu, & Tim Baldwin. (2016). Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT). 26 indexed citations
4.
Han, Bo, Paul Cook, & Tim Baldwin. (2014). Text-Based Twitter User Geolocation Prediction. Journal of Artificial Intelligence Research. 49. 451–500. 203 indexed citations
5.
Diab, Mona, Tim Baldwin, & Marco Baroni. (2013). Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. Joint Conference on Lexical and Computational Semantics. 1. 26 indexed citations
6.
Baldwin, Tim, et al.. (2012). Component-wise Annotation and Analysis of Informal Place Descriptions. 2 indexed citations
7.
Winter, Stephan, Kai‐Florian Richter, Tim Baldwin, et al.. (2011). Location-based mobile games for spatial knowledge acquisition. Minerva Access (University of Melbourne). 780. 20 indexed citations
8.
Stirling, Lesley, Lawrence Cavedon, Allison Kealy, et al.. (2011). Starting to Talk about Place. Minerva Access (University of Melbourne). 2 indexed citations
9.
Baldwin, Tim, et al.. (2009). An Unsupervised Approach to Domain-Specific Term Extraction. 7. 24 indexed citations
10.
Martínez, David, Sarvnaz Karimi, Lawrence Cavedon, & Tim Baldwin. (2008). Facilitating biomedical systematic reviews using text classification and ranked retrieval. RMIT Research Repository (RMIT University Library). 53–60. 7 indexed citations
11.
Baldwin, Tim, Mark Dras, Julia Hockenmaier, Tracy Holloway King, & van Gerardus Noord. (2007). Proceedings of the International Workshop on Parsing Technology. Meeting of the Association for Computational Linguistics. 1 indexed citations
12.
Baldwin, Tim, et al.. (2007). Innovative MBR Technology Solves Coastal Development Challenge. Proceedings of the Water Environment Federation. 2007(8). 9089–9104. 2 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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