Ian B. MacNeill

76 total papers · 1.3k total citations
51 papers, 850 citations indexed

About

Ian B. MacNeill is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Ian B. MacNeill has authored 51 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 10 papers in Statistics, Probability and Uncertainty and 6 papers in Artificial Intelligence. Recurrent topics in Ian B. MacNeill's work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (10 papers). Ian B. MacNeill is often cited by papers focused on Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (10 papers). Ian B. MacNeill collaborates with scholars based in Canada, United States and Finland. Ian B. MacNeill's co-authors include Venkata K. Jandhyala, Elena N. Naumova, Jyotsna S. Jagai, Alfred DeMaria, Jeffrey K. Griffiths, S. Fotopoulos, Gary J. Umphrey, Yan‐Ping Mao, Jan G. De Gooijer and Brajendra C. Sutradhar and has published in prestigious journals such as Journal of Clinical Epidemiology, Biometrika and Statistics in Medicine.

In The Last Decade

Ian B. MacNeill

49 papers receiving 797 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ian B. MacNeill	346	165	142	135	103	51	850
Zhenzhen Lu	414 1.2×	99 0.6×	70 0.5×	124 0.9×	69 0.7×	29	1.1k
Ximing Wu	92 0.3×	117 0.7×	41 0.3×	468 3.5×	14 0.1×	53	941
Ganapati P. Patil	209 0.6×	53 0.3×	67 0.5×	64 0.5×	16 0.2×	48	855
Wenxin Jiang	316 0.9×	44 0.3×	25 0.2×	81 0.6×	40 0.4×	64	852
Brunero Liseo	484 1.4×	91 0.6×	136 1.0×	132 1.0×	59 0.6×	51	912
Roch Roy	220 0.6×	330 2.0×	48 0.3×	280 2.1×	8 0.1×	45	760
Alex Karagrigoriou	288 0.8×	59 0.4×	97 0.7×	59 0.4×	39 0.4×	78	795
Helton Saulo	711 2.1×	168 1.0×	308 2.2×	98 0.7×	4 0.0×	80	975
K. B. Kulasekera	507 1.5×	47 0.3×	154 1.1×	52 0.4×	32 0.3×	52	754
Stéphan Clémençon	270 0.8×	68 0.4×	39 0.3×	53 0.4×	17 0.2×	81	953

Countries citing papers authored by Ian B. MacNeill

Since Specialization

Citations

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

Fields of papers citing papers by Ian B. MacNeill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian B. MacNeill. 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 Ian B. MacNeill. The network helps show where Ian B. MacNeill may publish in the future.

Co-authorship network of co-authors of Ian B. MacNeill

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

All Works

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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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