Tim Robertson

8.0k total citations · 3 hit papers
98 papers, 4.4k citations indexed

About

Tim Robertson is a scholar working on Statistics and Probability, Ecological Modeling and Artificial Intelligence. According to data from OpenAlex, Tim Robertson has authored 98 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 20 papers in Ecological Modeling and 19 papers in Artificial Intelligence. Recurrent topics in Tim Robertson's work include Statistical Distribution Estimation and Applications (20 papers), Species Distribution and Climate Change (20 papers) and Bayesian Methods and Mixture Models (15 papers). Tim Robertson is often cited by papers focused on Statistical Distribution Estimation and Applications (20 papers), Species Distribution and Climate Change (20 papers) and Bayesian Methods and Mixture Models (15 papers). Tim Robertson collaborates with scholars based in United States, Belgium and United Kingdom. Tim Robertson's co-authors include F. T. Wright, Thomas J. Santner, Richard L. Dykstra, Lewis H. Shoemaker, John Wieczorek, Markus Döring, Robert Guralnick, David Bloom, Stan Blum and Renato De Giovanni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Tim Robertson

90 papers receiving 4.0k citations

Hit Papers

Order Restricted Statistical Inference. 1990 2026 2002 2014 1990 2012 1990 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Robertson United States 25 2.3k 823 785 516 486 98 4.4k
C. Radhakrishna Rao United States 38 3.2k 1.4× 1.0k 1.2× 932 1.2× 266 0.5× 268 0.6× 162 7.3k
Giles Hooker United States 28 533 0.2× 187 0.2× 871 1.1× 391 0.8× 469 1.0× 93 4.1k
Lajos Horváth United States 43 4.3k 1.9× 988 1.2× 1.0k 1.3× 83 0.2× 220 0.5× 250 7.9k
Richard Durrett United States 40 1.3k 0.6× 597 0.7× 673 0.9× 49 0.1× 963 2.0× 111 7.4k
Howell Tong United Kingdom 31 1.7k 0.7× 467 0.6× 734 0.9× 58 0.1× 111 0.2× 132 5.2k
C. Radhakrishna Rao United States 22 1.7k 0.8× 534 0.6× 658 0.8× 38 0.1× 258 0.5× 57 5.8k
James E. Gentle United States 22 522 0.2× 260 0.3× 703 0.9× 71 0.1× 200 0.4× 65 3.5k
Larry Wasserman United States 30 1.9k 0.8× 524 0.6× 2.1k 2.7× 40 0.1× 437 0.9× 73 5.3k
S. James Press United States 27 1.3k 0.6× 504 0.6× 730 0.9× 32 0.1× 113 0.2× 78 4.5k
Stephen Portnoy United States 29 2.2k 1.0× 289 0.4× 464 0.6× 58 0.1× 86 0.2× 81 3.5k

Countries citing papers authored by Tim Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Robertson. A scholar is included among the top collaborators of Tim 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 Tim Robertson. Tim 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.
Robertson, Tim, et al.. (2024). An Introduction to the Global Registry of Scientific Collections (GRSciColl). Biodiversity Information Science and Standards. 8. 1 indexed citations
2.
Mikryukov, Vladimir, Kessy Abarenkov, Shawn W. Laffan, et al.. (2024). PhyloNext: a pipeline for phylogenetic diversity analysis of GBIF-mediated data. SHILAP Revista de lepidopterología. 24(1). 76–76. 2 indexed citations
3.
Meyer, R.M., Ward Appeltans, William D. Duncan, et al.. (2023). Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability. ZooKeys. 11. e112420–e112420. 6 indexed citations
4.
Frøslev, Tobias Guldberg, Thomas Stjernegaard Jeppesen, Tim Robertson, & Dmitry Schigel. (2023). eDNA Metabarcoding Data in the Global Biodiversity Information Facility (GBIF). Biodiversity Information Science and Standards. 7.
5.
Grosjean, Marie, et al.. (2023). Ongoing Work with the Global Registry of Scientific Collections. Biodiversity Information Science and Standards. 7.
6.
Meeus, Sofie, Donat Agosti, Christos Arvanitidis, et al.. (2022). Recommendations for interoperability among infrastructures. SHILAP Revista de lepidopterología. 8. 1 indexed citations
7.
Grosjean, Marie, et al.. (2022). GRSciColl: What is the Global Registry of Scientific Collections and How to Contribute?. Biodiversity Information Science and Standards. 6.
8.
Leswing, Karl, Tim Robertson, David J. Giesen, et al.. (2021). De Novo Design of Molecules with Low Hole Reorganization Energy Based on a Quarter-Million Molecule DFT Screen. The Journal of Physical Chemistry A. 125(33). 7331–7343. 16 indexed citations
9.
Robertson, Tim, Serge Belongie, Hartwig Adam, et al.. (2019). Training Machines to Identify Species using GBIF-mediated Datasets. Biodiversity Information Science and Standards. 3. 4 indexed citations
10.
Copas, Kyle, Tim Robertson, Serge Belongie, et al.. (2019). Training machines to improve species identification using GBIF-mediated datasets. 2019. 1 indexed citations
11.
Saraiva, Antônio Mauro, et al.. (2017). A conceptual framework for quality assessment and management of biodiversity data. PLoS ONE. 12(6). e0178731–e0178731. 37 indexed citations
12.
Barker, Katharine, et al.. (2015). B-HIT - A Tool for Harvesting and Indexing Biodiversity Data. PLoS ONE. 10(11). e0142240–e0142240. 2 indexed citations
13.
Wieczorek, John, Olaf Bánki, Stan Blum, et al.. (2014). Meeting Report: GBIF hackathon-workshop on Darwin Core and sample data (22-24 May 2013). Standards in Genomic Sciences. 9(3). 585–598. 8 indexed citations
14.
Robertson, Tim, Markus Döring, Robert Guralnick, et al.. (2014). The GBIF Integrated Publishing Toolkit: Facilitating the Efficient Publishing of Biodiversity Data on the Internet. PLoS ONE. 9(8). e102623–e102623. 151 indexed citations
15.
Wieczorek, John, David Bloom, Robert Guralnick, et al.. (2012). Darwin Core: An Evolving Community-Developed Biodiversity Data Standard. PLoS ONE. 7(1). e29715–e29715. 694 indexed citations breakdown →
16.
Bonneau, Richard, Charlie E. M. Strauss, Carol A. Rohl, et al.. (2002). De Novo Prediction of Three-dimensional Structures for Major Protein Families. Journal of Molecular Biology. 322(1). 65–78. 190 indexed citations
18.
Robertson, Tim, et al.. (1982). A Fortran Program for the Level Probabilities of Order Restricted Inference.. Defense Technical Information Center (DTIC). 1 indexed citations
19.
Dykstra, Richard L. & Tim Robertson. (1982). Order Restricted Statistical Tests on Multinomial and Poisson Parameters: The Starshaped Restriction. The Annals of Statistics. 10(4). 25 indexed citations
20.
Robertson, Tim, et al.. (1981). On Testing Two Theories Regarding the Genetic Makeup of Patients Suffering from Unipolar Affective Disorder.. Defense Technical Information Center (DTIC). 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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