Don Libes

631 citations
37 papers · 407 · h-index 12

Impact in

Papers in

Don Libes

34 papers receiving 344 citations

Peers

Don Libes
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 100
  • Software 36
  • Computer Networks and Communications 113
  • Management Information Systems 44
  • Hardware and Architecture 33
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D. Janaki Ram India
Raimund K. Ege United States
Raghu Hudli United States
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Djamel Eddine Saïdouni Algeria
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Citations per field
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Citations per year

Countries citing papers authored by Don Libes

Since Specialization
Citations

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

Fields of papers citing papers by Don Libes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploring expect
199453
2
Exploring Expect: a Tcl-based toolkit for automating interactive programs
199550
3 201640
4 199022
5 200019
6 201719
7
Obfuscated C and other mysteries
199218
8
expect; Scripts for Controlling Interactive Processes
199116
9 201716
10 198815
11 199914
12 199112
13 199911
14 201810
15 20158
16
Using Expect to Automate System Administration Tasks
19908
17 19937
18
Tcl/Tk tools
19977
19
Writing CGI scripts in Tcl
19966
20
The NIST EXPRESS Toolkit - Lessons Learned
19926

About Don Libes

Don Libes is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and Hardware and Architecture, having authored 37 papers that have together received 407 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (5 papers), Artificial Intelligence in Games (4 papers), AI in Service Interactions (4 papers), Parallel Computing and Optimization Techniques (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Advanced Database Systems and Queries (3 papers), Software Engineering Research (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (100 citations), Software (36 citations), Computer Networks and Communications (113 citations), Management Information Systems (44 citations) and Hardware and Architecture (33 citations). Don Libes has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Tim O’Reilly, David Lechevalier, Craig Schlenoff, K. C. Morris, Joshua Lubell, Kevin W. Lyons, Moneer Helu, Sanjay Jain, Simon Szykman and Peter Denno. Their work appears in journals such as Software Practice and Experience, International Journal of Computer Integrated Manufacturing, Artificial intelligence for engineering design analysis and manufacturing, Computers & Graphics and Manufacturing Letters.

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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