Peter Young

8.2k total citations · 3 hit papers
34 papers, 4.2k citations indexed

About

Peter Young is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Young has authored 34 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Young's work include Control Systems and Identification (8 papers), Multimodal Machine Learning Applications (6 papers) and Topic Modeling (5 papers). Peter Young is often cited by papers focused on Control Systems and Identification (8 papers), Multimodal Machine Learning Applications (6 papers) and Topic Modeling (5 papers). Peter Young collaborates with scholars based in United Kingdom, United States and Australia. Peter Young's co-authors include Julia Hockenmaier, Micah Hodosh, Alice Lai, Cyrus Rashtchian, C. James Taylor, Stuart Parkinson, Matthew Lees, Diego J. Pedregal, Włodek Tych and Ronald J. Patton and has published in prestigious journals such as Hydrological Processes, Environmental Modelling & Software and Journal of Guidance Control and Dynamics.

In The Last Decade

Peter Young

32 papers receiving 3.9k citations

Hit Papers

From image descriptions... 1984 2026 1998 2012 2014 2013 1984 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Young United Kingdom 14 2.3k 1.7k 496 402 402 34 4.2k
Rutuparna Panda India 37 1.2k 0.5× 912 0.5× 716 1.4× 157 0.4× 634 1.6× 166 4.4k
Gonzalo Pájares Spain 36 1.8k 0.8× 859 0.5× 111 0.2× 187 0.5× 194 0.5× 134 6.0k
Melba M. Crawford United States 36 1.8k 0.8× 1.1k 0.7× 159 0.3× 82 0.2× 330 0.8× 183 5.9k
Esa Alhoniemi Finland 10 479 0.2× 1.1k 0.7× 219 0.4× 269 0.7× 225 0.6× 27 3.0k
Guanghui Wang China 34 1.7k 0.7× 657 0.4× 182 0.4× 144 0.4× 165 0.4× 210 3.4k
Zhong‐Qiu Zhao China 20 2.6k 1.1× 964 0.6× 119 0.2× 201 0.5× 84 0.2× 72 4.8k
Guoqiang Zhong China 21 947 0.4× 1.1k 0.6× 72 0.1× 231 0.6× 227 0.6× 115 3.8k
A. Sherstinsky United States 6 436 0.2× 1.1k 0.6× 120 0.2× 330 0.8× 147 0.4× 10 3.3k
Imran Ahmed Pakistan 34 756 0.3× 787 0.5× 112 0.2× 251 0.6× 212 0.5× 136 3.5k
Zhengxia Zou China 34 3.0k 1.3× 762 0.5× 79 0.2× 240 0.6× 140 0.3× 113 5.4k

Countries citing papers authored by Peter Young

Since Specialization
Citations

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

Fields of papers citing papers by Peter Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Young

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Young. A scholar is included among the top collaborators of Peter Young 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 Peter Young. Peter Young 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.
Young, Peter, et al.. (2020). Global Fiducials imagery for observing long-term forest dynamics in the North Carolina mountains under a changing climate and atmosphere. AGU Fall Meeting Abstracts. 2020.
2.
Hodosh, Micah, Peter Young, & Julia Hockenmaier. (2015). Framing image description as a ranking task: data, models and evaluation metrics. International Conference on Artificial Intelligence. 4188–4192. 47 indexed citations
3.
Hodosh, Micah, Peter Young, & Julia Hockenmaier. (2015). Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract). International Joint Conference on Artificial Intelligence. 4188–4192. 11 indexed citations
4.
Young, Peter. (2014). Comment on ‘projection-based identification algorithm for grey-box continuous-time models'. Lancaster EPrints (Lancaster University). 3 indexed citations
5.
Hodosh, Micah, Peter Young, & Julia Hockenmaier. (2013). Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics. Journal of Artificial Intelligence Research. 47. 853–899. 738 indexed citations breakdown →
6.
Hodosh, Micah, Peter Young, Cyrus Rashtchian, & Julia Hockenmaier. (2010). Cross-Caption Coreference Resolution for Automatic Image Understanding. 162–171. 7 indexed citations
7.
Rashtchian, Cyrus, Peter Young, Micah Hodosh, & Julia Hockenmaier. (2010). Collecting Image Annotations Using Amazon's Mechanical Turk. North American Chapter of the Association for Computational Linguistics. 139–147. 320 indexed citations
8.
Hockenmaier, Julia & Peter Young. (2008). Non-local scrambling: the equivalence of TAG and CCG revisited.. 41–48. 5 indexed citations
9.
Young, Peter & Hugues Garnier. (2006). IDENTIFICATION AND ESTIMATION OF CONTINUOUS-TIME RAINFALL-FLOW MODELS. IFAC Proceedings Volumes. 39(1). 1276–1281. 4 indexed citations
10.
Chung, Sarah H., et al.. (2005). Service-oriented software reengineering: Bertie3 as Web services. 12 indexed citations
11.
Young, Peter. (1998). Data-based mechanistic modelling of environmental, ecological, economic and engineering systems. Environmental Modelling & Software. 13(2). 105–122. 200 indexed citations
12.
Young, Peter. (1998). Data-Based Mechanistic Modeling of Engineering Systems. Journal of Vibration and Control. 4(1). 5–28. 41 indexed citations
14.
Young, Peter, Stuart Parkinson, & Matthew Lees. (1996). Simplicity out of complexity in environmental modelling: Occam's razor revisited. Journal of Applied Statistics. 23(2-3). 165–210. 161 indexed citations
15.
Adam, Carole, C. E. Kyle, & Peter Young. (1992). Growth and reproductive development of red deer calves (Cervus elaphus) born out-of-season. Animal Science. 55(2). 265–270. 13 indexed citations
16.
Young, Peter & Ronald J. Patton. (1990). Comparison of test signals for aircraft frequency domain identification. Journal of Guidance Control and Dynamics. 13(3). 430–438. 34 indexed citations
18.
Grandison, Alistair S., et al.. (1986). Yield loss of cottage cheese curd due to the formation of minor sludge: the beneficial effect of homogenization. International Journal of Dairy Technology. 39(4). 123–126. 10 indexed citations
19.
Jakeman, Anthony J., Peter Young, & Adam Bayes. (1982). A Computer Program for General Recursive Time-Series Analysis. IFAC Proceedings Volumes. 15(4). 567–572. 2 indexed citations
20.
Young, Peter, et al.. (1982). On editing a second-language dictionary. English World-Wide A Journal of Varieties of English. 3(1). 87–91. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026