Daniel Coore

1.1k citations
22 papers · 686 · h-index 8

Impact in

Papers in

Daniel Coore

20 papers receiving 631 citations

Peers

Daniel Coore
Comparison fields: 5 of 84
  • Computer Networks and Communications 186
  • Mechanical Engineering 226
  • Computational Theory and Mathematics 99
  • Surgery 142
  • Computer Science Applications 20
Replace Steven Senger with:
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Citations per field
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Steven Senger · 1×
Citations per year

Countries citing papers authored by Daniel Coore

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Coore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Coore, 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 Daniel Coore Line = papers co-authored together Daniel Coore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000393
2 201685
3 200571
4
Paradigms for Structure in an Amorphous Computer
199739
5 201627
6 201913
7
An Algorithm for Group Formation and Maximal Independent Set in an Amorphous Computer
199812
8 20198
9 20037
10 20057
11 20145
12 20164
13 20153
14 20082
15 20132
16 20052
17 20042
18 20121
19 20101
20 20101

About Daniel Coore

Daniel Coore is a scholar working on Mechanical Engineering, Computer Networks and Communications, Surgery, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 22 papers that have together received 686 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (8 papers), Energy Efficient Wireless Sensor Networks (4 papers), Surgical Simulation and Training (3 papers), Teaching and Learning Programming (3 papers), Cardiac and Coronary Surgery Techniques (3 papers), Advanced Materials and Mechanics (3 papers), Cellular Automata and Applications (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Computer Networks and Communications (186 citations), Mechanical Engineering (226 citations), Computational Theory and Mathematics (99 citations), Surgery (142 citations) and Computer Science Applications (20 citations). Daniel Coore has collaborated with scholars based in Jamaica, United States and United Kingdom. Frequent co-authors include Radhika Nagpal, Ron Weiss, Harold Abelson, David S. Allen, Chris Hanson, Thomas F. Knight, Gerald Jay Sussman, Erik Rauch, George E. Homsy and Paul S. Ramphal. Their work appears in journals such as The Annals of Thoracic Surgery, Communications of the ACM, European Journal of Cardio-Thoracic Surgery, Lecture notes in computer science and Repository@Nottingham (University of Nottingham).

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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