P. W. Draper

9.6k total citations · 1 hit paper
111 papers, 2.3k citations indexed

About

P. W. Draper is a scholar working on Astronomy and Astrophysics, Epidemiology and Infectious Diseases. According to data from OpenAlex, P. W. Draper has authored 111 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Astronomy and Astrophysics, 42 papers in Epidemiology and 37 papers in Infectious Diseases. Recurrent topics in P. W. Draper's work include Mycobacterium research and diagnosis (42 papers), Stellar, planetary, and galactic studies (34 papers) and Leprosy Research and Treatment (32 papers). P. W. Draper is often cited by papers focused on Mycobacterium research and diagnosis (42 papers), Stellar, planetary, and galactic studies (34 papers) and Leprosy Research and Treatment (32 papers). P. W. Draper collaborates with scholars based in United Kingdom, United States and Tanzania. P. W. Draper's co-authors include R. J. W. Rees, Carolyn A. Brown, P. D’Arcy Hart, N. Metcalfe, S. M. Scarrott, E. A. Magnier, C. Waters, R. J. Wainscoat, H. Flewelling and N. Kaiser and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

P. W. Draper

110 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Galactic reddening in 3D from stellar photometry – an improved map

2018 265 citations Edward F. Schlafly, Hans‐Walter Rix et al. Monthly Notices of the Royal Astronomical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. W. Draper United Kingdom	24	1.0k	774	675	375	336	111	2.3k
Masayuki Umemura Japan	37	3.0k 2.9×	594 0.8×	592 0.9×	635 1.7×	305 0.9×	184	5.5k
M. V. Gorenstein United States	17	924 0.9×	218 0.3×	127 0.2×	238 0.6×	2.0k 6.0×	33	4.1k
Bruno Pichon United Kingdom	34	468 0.5×	536 0.7×	1.8k 2.6×	167 0.4×	1.3k 3.9×	112	3.8k
D. J. Armstrong United Kingdom	33	681 0.7×	130 0.2×	123 0.2×	268 0.7×	1.1k 3.2×	96	3.4k
P. J. Quinn Australia	18	534 0.5×	270 0.3×	313 0.5×	218 0.6×	143 0.4×	43	1.4k
James P. Long United States	22	363 0.4×	496 0.6×	148 0.2×	172 0.5×	441 1.3×	92	1.9k
John C. Forbes United States	27	1.3k 1.3×	267 0.3×	444 0.7×	418 1.1×	75 0.2×	98	2.2k
James A. Rose United States	31	1.4k 1.3×	214 0.3×	316 0.5×	890 2.4×	996 3.0×	58	3.2k
Jennifer A. Johnson United States	37	2.7k 2.6×	226 0.3×	98 0.1×	1.3k 3.4×	179 0.5×	100	3.5k
Naoki Isobe Japan	36	519 0.5×	148 0.2×	90 0.1×	28 0.1×	869 2.6×	292	4.5k

Countries citing papers authored by P. W. Draper

Since Specialization

Citations

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

Fields of papers citing papers by P. W. Draper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. W. Draper. 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 P. W. Draper. The network helps show where P. W. Draper may publish in the future.

Co-authorship network of co-authors of P. W. Draper

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Waters, C., E. A. Magnier, P. A. Price, et al.. (2020). Pan-STARRS Pixel Processing: Detrending, Warping, Stacking. The Astrophysical Journal Supplement Series. 251(1). 4–4. 54 indexed citations

2.

Magnier, E. A., William E. Sweeney, K. C. Chambers, et al.. (2020). Pan-STARRS Pixel Analysis: Source Detection and Characterization. The Astrophysical Journal Supplement Series. 251(1). 5–5. 50 indexed citations

3.

Magnier, E. A., K. C. Chambers, H. Flewelling, et al.. (2020). The Pan-STARRS Data-processing System. The Astrophysical Journal Supplement Series. 251(1). 3–3. 51 indexed citations

4.

Schaller, Matthieu, et al.. (2018). SWIFT: SPH With Inter-dependent Fine-grained Tasking. Astrophysics Source Code Library. 17 indexed citations

5.

Sesar, Branimir, Nina Hernitschek, Sandra Mitrović, et al.. (2017). Machine-learned Identification of RR Lyrae Stars from Sparse, Multi-band Data: The PS1 Sample. The Astronomical Journal. 153(5). 204–204. 98 indexed citations

6.

Lin, Lihwai, C. Hennig, S. Desai, et al.. (2015). Optical confirmation and redshift estimation of the Planck cluster candidates overlapping the Pan-STARRS Survey. Monthly Notices of the Royal Astronomical Society. 449(4). 3370–3380. 11 indexed citations

7.

Lupton, William, et al.. (2015). HDS: Hierarchical Data System. Astrophysics Source Code Library. 1 indexed citations

8.

Jenness, Tim, David Berry, M. J. Currie, et al.. (2014). Learning from 25 years of the extensible N-Dimensional Data Format. Astronomy and Computing. 12. 146–161. 14 indexed citations

9.

Draper, P. W., et al.. (2014). SPLAT-VO: Spectral Analysis Tool for the Virtual Observatory. Durham Research Online (Durham University). 3 indexed citations

10.

Warren-Smith, R. F., et al.. (2014). CCDPACK: CCD Data Reduction Package. Astrophysics Source Code Library. 2 indexed citations

11.

Draper, P. W.. (2014). SPLAT: Spectral Analysis Tool. Durham Research Online (Durham University). 4 indexed citations

12.

Draper, P. W., et al.. (2013). SPLAT-VO -- A VO-enabled Spectral Analysis Tool. 243. 1 indexed citations

13.

Draper, P. W., et al.. (2011). CCDPACK -- CCD data reduction package. 139. 2 indexed citations

14.

Berry, David & P. W. Draper. (2010). Using the AST Library to Create and Use STC-S Region Descriptions. Durham Research Online (Durham University). 434. 213. 4 indexed citations

15.

Draper, P. W., David Berry, Tim Jenness, & Frossie Economou. (2009). GAIA -- Version 4. ASPC. 411. 575. 4 indexed citations

16.

Draper, P. W., David Berry, Tim Jenness, Frossie Economou, & M. J. Currie. (2008). GAIA-3D: Volume Visualization of Data-Cubes. Durham Research Online (Durham University). 394. 339. 1 indexed citations

17.

Draper, P. W.. (1998). New Features in GAIA. 20. 7–9. 1 indexed citations

18.

Draper, P. W., et al.. (1997). Multi-band polarimetry of BD +31°643.. Bulletin of the American Astronomical Society. 29(5). 1361. 2 indexed citations

19.

Mahenthiralingam, Eshwar, P. W. Draper, E. O. Davis, & M J Colston. (1993). Cloning and Sequencing of the Gene which Encodes the Highly Inducible Acetamidase of Mycobacterium Smegmatis. Journal of General Microbiology. 139(3). 575–583. 86 indexed citations

20.

Draper, P. W., O. Kandler, & A. Darbre. (1987). Peptidoglycan and Arabinogalactan of Mycobacterium Leprae. Microbiology. 133(5). 1187–1194. 25 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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