Joseph Gil

1.2k citations
53 papers · 652 · h-index 16

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Model-Driven Software Engineering Techniques
    • Software Engineering Research

Papers in

Joseph Gil

53 papers receiving 578 citations

Peers

Joseph Gil
Comparison fields: 5 of 48
  • Software 185
  • Information Systems 294
  • Hardware and Architecture 88
  • Artificial Intelligence 395
  • Computer Networks and Communications 213
Replace Greg J. Badros with:
Greg J. Badros United States
Doug Kimelman United States
Yves Bertot France
Ronald A. Olsson United States
Stuart Kent United Kingdom
Sonya E. Keene
Liviu Tancau United States
Matthias Zenger Switzerland
Leo A. Meyerovich United States
Joseph H. Fasel United States
Joseph Gil relative to Greg J. Badros United States Greg J. Badros's profile →
Citations per field
00.5×1.5×2.4×
Greg J. Badros · 1×
Citations per year

Countries citing papers authored by Joseph Gil

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Joseph Gil, 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 Joseph Gil Line = papers co-authored together Joseph Gil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005133
2 200149
3 200631
4 200131
5 198428
6 200527
7 199926
8 199225
9 199922
10 199919
11 199619
12 199119
13
Counting and Packing in Parallel.
198618
14
Classes Versus Prototypes: Some Philosophical and Historical Observations.
199717
15 200816
16 200215
17 201112
18 200211
19 201010
20 200510

About Joseph Gil

Joseph Gil is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Software and Computational Theory and Mathematics, having authored 53 papers that have together received 652 indexed citations. Recurring topics across this work include Logic, programming, and type systems (20 papers), Algorithms and Data Compression (12 papers), Advanced Software Engineering Methodologies (11 papers), Software Engineering Research (10 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Database Systems and Queries (6 papers), Software Testing and Debugging Techniques (6 papers) and Model-Driven Software Engineering Techniques (5 papers). The work is most often cited by research in Software (185 citations), Information Systems (294 citations), Hardware and Architecture (88 citations), Artificial Intelligence (395 citations) and Computer Networks and Communications (213 citations). Joseph Gil has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yoav Zibin, John Howse, Tal Cohen, Stuart Kent, Peter F. Sweeney, Yossi Matias, David H. Lorenz, John Taylor, Alon Itai and Hagit Attiya. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Journal of Visual Languages & Computing, Journal of Parallel and Distributed Computing and SIAM Journal on Computing.

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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