I. Macneill

359 total papers · 33.6k total citations
3 papers, 16 citations indexed

About

I. Macneill is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, I. Macneill has authored 3 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems and Management. Recurrent topics in I. Macneill's work include Distributed and Parallel Computing Systems (2 papers), Particle Detector Development and Performance (1 paper) and Image and Object Detection Techniques (1 paper). I. Macneill is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Particle Detector Development and Performance (1 paper) and Image and Object Detection Techniques (1 paper). I. Macneill collaborates with scholars based in United States and Switzerland. I. Macneill's co-authors include B. Holzman, I. Sfiligoi, Parag Mhashilkar, Frank Würthwein, Christopher W. Murphy, W. Andrews, Dan Riley, G. B. Cerati, M. Tadel and K. Mcdermott and has published in prestigious journals such as Journal of Physics Conference Series.

In The Last Decade

I. Macneill

3 papers receiving 16 citations

Author Peers

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

Author						Papers	Cites
I. Macneill	14	8	6	4	1	3	16
D. Vicinanza	19 1.4×	8 1.0×	6 1.0×	5 1.3×	2 2.0×	2	19
M. Klute	13 0.9×	7 0.9×	3 0.5×	3 0.8×	1 1.0×	2	13
T. Javůrek	10 0.7×	7 0.9×	3 0.5×	3 0.8×	1 1.0×	3	12
J. Letts	14 1.0×	7 0.9×	4 0.7×	5 1.3×	3 3.0×	3	18
P. Love	12 0.9×	10 1.3×	2 0.3×	3 0.8×		4	13
W. Bacchi	13 0.9×	7 0.9×	2 0.3×	4 1.0×	2 2.0×	2	13
M.G. Green	13 0.9×	3 0.4×	4 0.7×	8 2.0×	1 1.0×	3	19
D. van der Ster	11 0.8×	6 0.8×	3 0.5×	3 0.8×	3 3.0×	3	13
A. Cass	15 1.1×	6 0.8×	3 0.5×	13 3.3×		2	21
H. Severini	13 0.9×	3 0.4×	3 0.5×	8 2.0×		2	13

Countries citing papers authored by I. Macneill

Since Specialization

Citations

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

Fields of papers citing papers by I. Macneill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Macneill

This figure shows the co-authorship network connecting the top 25 collaborators of I. Macneill. A scholar is included among the top collaborators of I. 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 I. Macneill. I. 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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