J. H. Wegstein

2.4k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 8
Topics
Experimental Learning in Engineering (3 papers)graph theory and CDMA systems (2 papers)Teaching and Learning Programming (2 papers)
Partner nations
United StatesPoland

In The Last Decade

J. H. Wegstein

11 papers receiving 877 citations

Hit Papers

Revised report on the algorithmic language ALGOL 6019632026198420051963100200300400500

Peers

J. H. Wegstein
Comparison fields: 5 of 102
  • Artificial Intelligence 624
  • Computational Theory and Mathematics 396
  • Hardware and Architecture 257
  • Computer Networks and Communications 177
  • Information Systems 141
Replace K. Samelson with:
K. Samelson Germany
M. Woodger United Kingdom
Bernard Vauquois France
Chaim Katz Brazil
Kenneth E. Iverson United States
John Barnes United Kingdom
Juris Hartmanis United States
Eugene E. Kohlbecker United States
M. D. McIlroy United States
Carel S. Schölten Netherlands
J. H. Wegstein relative to K. Samelson Germany K. Samelson's profile →
Citations per field
00.5×1.5×
K. Samelson · 1×
Citations per year

Countries citing papers authored by J. H. Wegstein

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Wegstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Wegstein. 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 J. H. Wegstein. The network helps show where J. H. Wegstein may publish in the future.

Co-authorship network of co-authors of J. H. Wegstein

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 12
2
Revised report on the algorithmic language ALGOL 60breakdown →
562
3 63
4 2
5 3
6 56
7 266
8 7
9 87
10 45
11 48

About J. H. Wegstein

J. H. Wegstein is a scholar working on Computer Science Applications, Media Technology and Computational Theory and Mathematics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Experimental Learning in Engineering (3 papers), graph theory and CDMA systems (2 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Hardware and Architecture (257 citations), Software (126 citations) and Computational Theory and Mathematics (396 citations). J. H. Wegstein has collaborated with scholars based in United States and Poland. Frequent co-authors include Bernard Vauquois, Heinz Rutishauser, Chaim Katz, Friedrich L. Bauer, M. Woodger, John McCarthy, Alan J. Perlis, K. Samelson, John Backus and A. van Wijngaarden. Their work appears in journals such as Communications of the ACM and Numerische Mathematik.

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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