James W. Hegeman

466 citations
3 papers · 68 indexed · h-index 3
Topics
Complexity and Algorithms in Graphs (2 papers)Distributed systems and fault tolerance (1 paper)Cryptography and Data Security (1 paper)
Journals
Theoretical Computer ScienceAnnals of GISPadua Research Archive (University of Padova)
Partner nations
United States

In The Last Decade

James W. Hegeman

3 papers receiving 66 citations

Peers

James W. Hegeman
Comparison fields: 5 of 26
  • Computational Theory and Mathematics 46
  • Computer Networks and Communications 34
  • Artificial Intelligence 30
  • Computer Vision and Pattern Recognition 6
  • Information Systems 5
Replace Jeroen J. A. Keiren with:
Jeroen J. A. Keiren Netherlands
Johan Thapper France
K. Narayan Kumar India
David Baelde France
Jean-Marc Talbot France
Hans de Nivelle Germany
Markus Sortland Dregi Norway
Kent Quanrud United States
Édouard Bonnet France
Alexander Golovnev United States
James W. Hegeman relative to Jeroen J. A. Keiren Netherlands Jeroen J. A. Keiren's profile →
Citations per field
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Jeroen J. A. Keiren · 1×
Citations per year

Countries citing papers authored by James W. Hegeman

Since Specialization
Citations

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

Fields of papers citing papers by James W. Hegeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Hegeman. 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 James W. Hegeman. The network helps show where James W. Hegeman may publish in the future.

Co-authorship network of co-authors of James W. Hegeman

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 21
2 33
3 14

About James W. Hegeman

James W. Hegeman is a scholar working on Computational Theory and Mathematics, Signal Processing and Environmental Engineering, having authored 3 papers that have together received 68 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (2 papers), Distributed systems and fault tolerance (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computational Theory and Mathematics (46 citations), Computer Networks and Communications (34 citations) and Computer Graphics and Computer-Aided Design (4 citations). James W. Hegeman has collaborated with scholars based in United States. Frequent co-authors include Sriram V. Pemmaraju, Gopal Pandurangan, Marc P. Armstrong and Ramanathan Sugumaran. Their work appears in journals such as Theoretical Computer Science, Annals of GIS and Padua Research Archive (University of Padova).

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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