Guido van Rossum

4.0k citations
39 papers · 2.5k indexed · h-index 18
Topics
Computational Physics and Python Applications (13 papers)Multimedia Communication and Technology (8 papers)Peer-to-Peer Network Technologies (5 papers)

In The Last Decade

Guido van Rossum

36 papers receiving 2.2k citations

Peers

Guido van Rossum
Comparison fields: 5 of 196
  • Computer Networks and Communications 654
  • Artificial Intelligence 523
  • Sociology and Political Science 395
  • Information Systems 374
  • Computer Vision and Pattern Recognition 360
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Citations per field
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Citations per year

Countries citing papers authored by Guido van Rossum

Since Specialization
Citations

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

Fields of papers citing papers by Guido van Rossum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guido van Rossum. 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 Guido van Rossum. The network helps show where Guido van Rossum may publish in the future.

Co-authorship network of co-authors of Guido van Rossum

This figure shows the co-authorship network connecting the top 25 collaborators of Guido van Rossum. A scholar is included among the top collaborators of Guido van Rossum 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 Guido van Rossum. Guido van Rossum 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
#WorkIndexed citations
1
PYTHON 2.6: Distributing Modules
1
2
Python/C Api Manual - Python 3
10
3
Python Programming Language.
344
4
An Introduction to Python
44
5
The Python Language Reference Manual
299
6
PYTHON 2.6 Reference Manual
13
7
Python Library Reference
73
8
A Tour of the Python Language
4
9
Scripting the Web with Python
4
10
Internet Programming With Python
40
11
Python reference manual
426
12
Extending and embedding the python interpreter
40
13
The Amsterdam Hypermedia Model: Adding Time, Structure and Context to Hypertext
1
14 200
15
An Introduction to Python for Unix/C Programmers
9
16 42
17 72
18
The ABC structure editor -- Structure-based editing for the ABC programming environment.
0
19
Experience with the Amoeba distributed operating system
2
20 32

About Guido van Rossum

Guido van Rossum is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Networks and Communications, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Physics and Python Applications (13 papers), Multimedia Communication and Technology (8 papers) and Peer-to-Peer Network Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (259 citations), Computer Networks and Communications (654 citations) and Software (89 citations). Guido van Rossum has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include Fred L. Drake, Dick C. A. Bulterman, Lynda Hardman, Sape J. Mullender, Robbert van Renesse, Hans van Staveren, David M. Beazley, Jack Jansen, K. Sjoerd Mullender and Mark Lutz. Their work appears in journals such as Communications of the ACM, Computer and Computer Music Journal.

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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