Caleb Phillips

2.5k citations
79 papers · 1.5k indexed · h-index 19

Impact in

Papers in

Caleb Phillips

71 papers receiving 1.4k citations

Peers

Caleb Phillips
Comparison fields: 5 of 145
  • Computer Networks and Communications 273
  • Electrical and Electronic Engineering 579
  • Endocrine and Autonomic Systems 66
  • Critical Care and Intensive Care Medicine 45
  • Transportation 45
Replace A.J. Chipperfield with:
A.J. Chipperfield United Kingdom
Eros Pasero Italy
Shih‐Chieh Chen Taiwan
Kaibo Liu United States
Anahita Khojandi United States
Bing Guo China
Choujun Zhan China
Yong Niu China
Niamat Ullah Pakistan
Matheus Henrique Dal Molin Ribeiro Brazil
Caleb Phillips relative to A.J. Chipperfield United Kingdom A.J. Chipperfield's profile →
Citations per field
00.5×10×15×
A.J. Chipperfield · 1×
Citations per year

Countries citing papers authored by Caleb Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Caleb Phillips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caleb Phillips Line = papers co-authored together Caleb Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20244
5 20241
6 20230
7 20218
8 20213
9 20216
10 20219
11 202011
12 201918
13 201912
14 20183
15 2018153
16 201612
17 201513
18 201329
19 201016
20
Measurement and evaluation of transportation system effectiveness
196918

About Caleb Phillips

Caleb Phillips is a scholar working on Transportation, Endocrine and Autonomic Systems, Critical Care and Intensive Care Medicine, Aerospace Engineering and Computer Networks and Communications, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (12 papers), High Altitude and Hypoxia (12 papers), Travel-related health issues (8 papers), Wind Energy Research and Development (8 papers), Millimeter-Wave Propagation and Modeling (7 papers), Neuroscience of respiration and sleep (7 papers), Transportation Planning and Optimization (6 papers) and Wireless Networks and Protocols (5 papers). The work is most often cited by research in Computer Networks and Communications (273 citations), Electrical and Electronic Engineering (579 citations), Endocrine and Autonomic Systems (66 citations), Critical Care and Intensive Care Medicine (45 citations) and Transportation (45 citations). Caleb Phillips has collaborated with scholars based in United States, Canada and Nepal. Frequent co-authors include Douglas Sicker, Dirk Grunwald, Ryan Elmore, Robert Margolis, Pieter Gagnon, Jennifer Melius, Grant S. Lipman, Andriy Zakutayev, Marcus Schwarting and John D. Perkins. Their work appears in journals such as High Altitude Medicine & Biology, Wind energy science, The American Journal of Medicine, Environmental Research Letters and Journal of Air Transport Management.

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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