Paul Robertson

1.5k total citations
74 papers, 913 citations indexed

About

Paul Robertson is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Paul Robertson has authored 74 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 20 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Paul Robertson's work include AI-based Problem Solving and Planning (6 papers), Thin-Film Transistor Technologies (4 papers) and Advanced Software Engineering Methodologies (4 papers). Paul Robertson is often cited by papers focused on AI-based Problem Solving and Planning (6 papers), Thin-Film Transistor Technologies (4 papers) and Advanced Software Engineering Methodologies (4 papers). Paul Robertson collaborates with scholars based in United Kingdom, United States and South Sudan. Paul Robertson's co-authors include Robert Laddaga, Christian Friedrich, Brian Williams, Brigit McLaughlin, J. Michael Brady, Kevin C. Conlon, Veronika Bachanová, Jeffrey S. Miller, Bartosz Grzywacz and Gregory M. Vercellotti and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Paul Robertson

66 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Robertson United Kingdom 17 180 176 168 150 123 74 913
Aiping Jiang China 13 203 1.1× 82 0.5× 153 0.9× 86 0.6× 20 0.2× 39 1.0k
Ghassan Samara Jordan 18 52 0.3× 260 1.5× 119 0.7× 217 1.4× 287 2.3× 106 1.2k
Yiming Ye United States 23 49 0.3× 327 1.9× 183 1.1× 57 0.4× 95 0.8× 98 1.9k
Zhu Wang China 18 46 0.3× 684 3.9× 143 0.9× 66 0.4× 59 0.5× 64 1.6k
Huashan Liu China 25 266 1.5× 180 1.0× 118 0.7× 307 2.0× 87 0.7× 131 2.7k
Xiaojun Qi United States 23 67 0.4× 55 0.3× 268 1.6× 94 0.6× 17 0.1× 99 2.0k
Li She China 23 93 0.5× 118 0.7× 139 0.8× 124 0.8× 13 0.1× 98 1.4k
Huanle Zhang China 13 27 0.1× 184 1.0× 173 1.0× 119 0.8× 179 1.5× 45 692
Minghu Jiang China 16 43 0.2× 60 0.3× 323 1.9× 192 1.3× 69 0.6× 91 1.1k

Countries citing papers authored by Paul Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Paul Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Robertson. A scholar is included among the top collaborators of Paul Robertson 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 Paul Robertson. Paul Robertson 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.
Fiore, Stephen M., et al.. (2023). Transdisciplinary Team Science: Transcending Disciplines to Understand Artificial Social Intelligence in Human-Agent Teaming. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 419–424. 2 indexed citations
2.
Wagner, J., et al.. (2021). The relationship between tendency to attend to detail, sensory sensitivity, and affective response to food cues – A registered report. International Journal of Psychophysiology. 166. 50–60. 2 indexed citations
3.
Sandor, Cynthia, Paul Robertson, Charmaine Lang, et al.. (2016). Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson’s disease. Human Molecular Genetics. 26(3). ddw412–ddw412. 51 indexed citations
4.
Robertson, Paul, et al.. (2015). Low Frequency Radio Polarization Sensor With Applications in Attitude Estimation. IEEE Sensors Journal. 15(12). 7304–7311. 5 indexed citations
5.
Johnson, Graham, et al.. (2012). Beyond embodiment and social presence: preferences for virtual assistant gender and clothing style.
6.
Kukar, Thomas, Thomas B. Ladd, Paul Robertson, et al.. (2011). Lysine 624 of the Amyloid Precursor Protein (APP) Is a Critical Determinant of Amyloid β Peptide Length. Journal of Biological Chemistry. 286(46). 39804–39812. 58 indexed citations
7.
McLaughlin, Brigit, Antonia C. Wells, Sam Virtue, et al.. (2010). Electrical and optical spectroscopy for quantitative screening of hepatic steatosis in donor livers. Physics in Medicine and Biology. 55(22). 6867–6879. 14 indexed citations
8.
Beal, Jacob, Paul Robertson, & Robert Laddaga. (2009). Curricula and Metrics to Investigate Human-Like Learning. National Conference on Artificial Intelligence. 16(9). 16–19.
9.
McLaughlin, Brigit & Paul Robertson. (2009). Submillimeter Coaxial Probes for Dielectric Spectroscopy of Liquids and Biological Materials. IEEE Transactions on Microwave Theory and Techniques. 57(12). 3000–3010. 9 indexed citations
10.
Burstein, Mark, Robert Laddaga, David D. McDonald, et al.. (2008). POIROT: integrated learning of web service procedures. National Conference on Artificial Intelligence. 1274–1279. 16 indexed citations
11.
Mitrelias, T., et al.. (2008). Magnetic Microtags and Magnetic Encoding for Applications in Biotechnology. AIP conference proceedings. 1025. 60–73. 4 indexed citations
12.
Shah, Julie, et al.. (2007). A fast incremental algorithm for maintaining dispatchability of partially controllable plans. International Conference on Automated Planning and Scheduling. 296–303. 31 indexed citations
13.
Robertson, Paul, et al.. (2006). Autonomous Robust Execution of Complex Robotic Missions.. 595–604. 4 indexed citations
14.
Terras, Melissa & Paul Robertson. (2005). Image and interpretation: Using artificial intelligence to read ancient Roman texts. UCL Discovery (University College London). 7(3). 7 indexed citations
15.
Laddaga, Robert, et al.. (2003). Self-adaptive software : applications : Second International Workshop, IWSAS 2001, Balatonfüred, Hungary, May 17-19, 2001 : revised papers. Springer eBooks. 4 indexed citations
16.
Robertson, Paul & Robert Laddaga. (2003). An Agent Architecture for Information Fusion and its Application to Robust Face Identification.. Applied Informatics. 132–139. 1 indexed citations
17.
Laddaga, Robert, et al.. (2000). Seeing clearly and moving forward [artificial intelligence]. IEEE Intelligent Systems and their Applications. 15(6). 46–50. 1 indexed citations
18.
Robertson, Paul. (1997). A fibre optic distributed sensor system for condition monitoring of synthetic ropes. 1997. 12–12. 6 indexed citations
19.
Robertson, Paul, et al.. (1997). Bragg grating in a two-mode optical fibre for sensing applications. Sensors and Actuators A Physical. 63(1). 15–17. 1 indexed citations
20.
Robertson, Paul, Helen J. Ross, & Robert A. Figlin. (1989). Tumor Necrosis Factor Induces Hemorrhagic Necrosis of a Sarcoma. Annals of Internal Medicine. 111(8). 682–684. 19 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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