Philip Kilby

104 total papers · 1.3k total citations
55 papers, 682 citations indexed

About

Philip Kilby is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Philip Kilby has authored 55 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 15 papers in Computer Networks and Communications and 15 papers in Automotive Engineering. Recurrent topics in Philip Kilby's work include Vehicle Routing Optimization Methods (24 papers), Transportation and Mobility Innovations (14 papers) and Robotic Path Planning Algorithms (10 papers). Philip Kilby is often cited by papers focused on Vehicle Routing Optimization Methods (24 papers), Transportation and Mobility Innovations (14 papers) and Robotic Path Planning Algorithms (10 papers). Philip Kilby collaborates with scholars based in Australia, United Kingdom and United States. Philip Kilby's co-authors include Toby Walsh, Sylvie Thiébaux, John Slaney, Paul Shaw, Patrick Prosser, Pascal Van Hentenryck, Bruno De Backer, James R. Davis, David J. Abel and Terry J. Frankcombe and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Philip Kilby

52 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
Philip Kilby 270 165 142 126 101 55 682
Buyang Cao 290 1.1× 99 0.6× 145 1.0× 58 0.5× 88 0.9× 39 697
Michel Toulouse 413 1.5× 152 0.9× 141 1.0× 168 1.3× 116 1.1× 43 691
Una Benlic 402 1.5× 64 0.4× 254 1.8× 159 1.3× 75 0.7× 32 762
Moshe B. Rosenwein 492 1.8× 62 0.4× 72 0.5× 96 0.8× 50 0.5× 26 630
Jesús Sánchez‐Oro 371 1.4× 39 0.2× 167 1.2× 130 1.0× 40 0.4× 53 648
Ada Álvarez 487 1.8× 94 0.6× 92 0.6× 68 0.5× 70 0.7× 43 727
Jean Berger 380 1.4× 162 1.0× 135 1.0× 177 1.4× 23 0.2× 57 751
R. Ramesh 220 0.8× 54 0.3× 185 1.3× 71 0.6× 28 0.3× 41 566
Isabel Méndez‐Díaz 342 1.3× 130 0.8× 51 0.4× 141 1.1× 62 0.6× 28 779
Kim Allan Andersen 165 0.6× 50 0.3× 124 0.9× 57 0.5× 126 1.2× 27 554

Countries citing papers authored by Philip Kilby

Since Specialization
Citations

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

Fields of papers citing papers by Philip Kilby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Kilby

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