Joshua S. Hodas

705 total citations
12 papers, 319 citations indexed

About

Joshua S. Hodas is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Joshua S. Hodas has authored 12 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Joshua S. Hodas's work include Logic, programming, and type systems (10 papers), Logic, Reasoning, and Knowledge (9 papers) and Formal Methods in Verification (6 papers). Joshua S. Hodas is often cited by papers focused on Logic, programming, and type systems (10 papers), Logic, Reasoning, and Knowledge (9 papers) and Formal Methods in Verification (6 papers). Joshua S. Hodas collaborates with scholars based in United States, United Kingdom and Spain. Joshua S. Hodas's co-authors include Dale Miller, Iliano Cervesato, Frank Pfenning, Naoyuki Tamura, Kevin Watkins, Neel Sundaresan, Ernesto Pimentel and Jared Jackson and has published in prestigious journals such as Theoretical Computer Science, Information and Computation and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Joshua S. Hodas

11 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joshua S. Hodas United States 8 304 200 40 21 18 12 319
Gopalan Nadathur United States 14 735 2.4× 499 2.5× 59 1.5× 23 1.1× 33 1.8× 44 765
Kent Petersson Sweden 5 349 1.1× 230 1.1× 41 1.0× 26 1.2× 15 0.8× 7 375
Martin C. Henson United Kingdom 8 103 0.3× 88 0.4× 26 0.7× 40 1.9× 9 0.5× 31 151
Didier Galmiche France 9 232 0.8× 174 0.9× 46 1.1× 9 0.4× 9 0.5× 41 250
Neil V. Murray United States 9 225 0.7× 142 0.7× 30 0.8× 6 0.3× 7 0.4× 32 253
Temur Kutsia Austria 7 175 0.6× 105 0.5× 47 1.2× 27 1.3× 10 0.6× 53 205
Astrid Kiehn Germany 4 97 0.3× 128 0.6× 52 1.3× 14 0.7× 11 0.6× 10 167
Fairouz Kamareddine United Kingdom 10 246 0.8× 167 0.8× 28 0.7× 17 0.8× 11 0.6× 48 260
John Hannan United States 12 237 0.8× 181 0.9× 38 0.9× 16 0.8× 52 2.9× 25 293
Jesper Jørgensen Denmark 8 204 0.7× 119 0.6× 29 0.7× 50 2.4× 92 5.1× 9 227

Countries citing papers authored by Joshua S. Hodas

Since Specialization
Citations

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

Fields of papers citing papers by Joshua S. Hodas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua S. Hodas. 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 Joshua S. Hodas. The network helps show where Joshua S. Hodas may publish in the future.

Co-authorship network of co-authors of Joshua S. Hodas

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

All Works

12 of 12 papers shown
1.
Hodas, Joshua S. & Dale Miller. (2002). Logic programming in a fragment of intuitionistic linear logic. 32–42. 6 indexed citations
2.
Pimentel, Ernesto, et al.. (2002). Isolating Resource Consumption in Linear Logic Proof Search. Electronic Notes in Theoretical Computer Science. 70(2). 1–10. 1 indexed citations
3.
Hodas, Joshua S., et al.. (2001). NOVeLLA: A Multi-Modal Electronic-Book Reader With Visual and Auditory Interfaces. International Journal of Speech Technology. 4(3-4). 269–284. 2 indexed citations
4.
Cervesato, Iliano, Joshua S. Hodas, & Frank Pfenning. (2000). Efficient resource management for linear logic proof search. Theoretical Computer Science. 232(1-2). 133–163. 36 indexed citations
5.
Hodas, Joshua S., et al.. (1998). Efficient implementation of a linear logic programming language. International Conference on Logic Programming. 145–159. 12 indexed citations
6.
Hodas, Joshua S., et al.. (1996). Forum as a Logic Programming Language: Preliminary Report. Electronic Notes in Theoretical Computer Science. 3. 196–207. 7 indexed citations
7.
Hodas, Joshua S.. (1995). Logic programming in intuitionistic linear logic: theory, design, and implementation. Scholarly Commons (University of Pennsylvania). 24 indexed citations
8.
Hodas, Joshua S. & Dale Miller. (1994). Logic Programming in a Fragment of Intuitionistic Linear Logic. Information and Computation. 110(2). 327–365. 192 indexed citations
9.
Hodas, Joshua S.. (1992). Specifying Filler-Gap Dependency Parsers in a Linear-Logic Programming Language. ScholarlyCommons (University of Pennsylvania). 622–636. 13 indexed citations
10.
Hodas, Joshua S. & Dale Miller. (1991). Logic Programming in a Fragment of Intuitionistic Linear Logic: Extended Abstract. ScholarlyCommons (University of Pennsylvania). 11 indexed citations
11.
Hodas, Joshua S. & Dale Miller. (1990). Representing objects in a logic programming language with scoping constructs. ScholarlyCommons (University of Pennsylvania). 511–526. 15 indexed citations
12.
Hodas, Joshua S.. (1990). Compiling Prolog - From the PLM to the WAM and Beyond.

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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