Ross M. McConnell

2.7k total citations
43 papers, 1.2k citations indexed

About

Ross M. McConnell is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ross M. McConnell has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ross M. McConnell's work include Advanced Graph Theory Research (28 papers), Graph Labeling and Dimension Problems (14 papers) and graph theory and CDMA systems (11 papers). Ross M. McConnell is often cited by papers focused on Advanced Graph Theory Research (28 papers), Graph Labeling and Dimension Problems (14 papers) and graph theory and CDMA systems (11 papers). Ross M. McConnell collaborates with scholars based in United States, Germany and Argentina. Ross M. McConnell's co-authors include Jeremy Spinrad, Andrzej Ehrenfeucht, David Haussler, Michel Habib, Laurent Viennot, Christophe Paul, Kurt Mehlhorn, Elias Dahlhaus, Jens Gustedt and Anselm Blumer and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the ACM.

In The Last Decade

Ross M. McConnell

42 papers receiving 1.1k citations

Peers

Ross M. McConnell
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 928
  • Artificial Intelligence 345
  • Computer Networks and Communications 269
  • Discrete Mathematics and Combinatorics 154
  • Molecular Biology 136
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Citations per field, relative to Ross M. McConnell
Ross M. McConnell · 1×
Citations per year, relative to Ross M. McConnell
Ross M. McConnell · 1×

Countries citing papers authored by Ross M. McConnell

Since Specialization
Citations

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

Fields of papers citing papers by Ross M. McConnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross M. McConnell. 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 Ross M. McConnell. The network helps show where Ross M. McConnell may publish in the future.

Co-authorship network of co-authors of Ross M. McConnell

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 3
3 4
4 18
5
Graph Theory, Computational Intelligence and Thought: Essays Dedicated to Martin Charles Golumbic on the Occasion of His 60th Birthday
8
6 27
7 35
8 18
9 41
10 23
11 15
12 127
13
Ordered Vertex Partitioning
2
14 192
15 32
16
A Pratical and Efficient Algorithm for Substitution Decomposition
1
17 30
18 88
19 9
20
Linear size finite automata for the set of all subwords of a word - an outline of results.
24

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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