Philip John Gorinski

588 total citations
11 papers, 150 citations indexed

About

Philip John Gorinski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Philip John Gorinski has authored 11 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Philip John Gorinski's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (2 papers). Philip John Gorinski is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (2 papers). Philip John Gorinski collaborates with scholars based in Sweden, Germany and United Kingdom. Philip John Gorinski's co-authors include Mirella Lapata, Caroline Sporleder, Josef Ruppenhofer, Vera Demberg, Ignacio Iacobacci, Asad Sayeed, Linlin Li, Beatrice Alex, Richard Tobin and Heather C. Whalley and has published in prestigious journals such as Language Resources and Evaluation, Empirical Methods in Natural Language Processing and Edinburgh Research Explorer.

In The Last Decade

Philip John Gorinski

10 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip John Gorinski Sweden	9	128	28	13	12	9	11	150
Sobha Lalitha Devi India	9	200 1.6×	35 1.3×	14 1.1×	18 1.5×	7 0.8×	51	229
Denis Paperno Italy	10	264 2.1×	55 2.0×	36 2.8×	10 0.8×	12 1.3×	30	322
Aurélie Herbelot Italy	9	204 1.6×	36 1.3×	19 1.5×	11 0.9×	17 1.9×	35	238
Arya D. McCarthy United States	10	204 1.6×	36 1.3×	24 1.8×	6 0.5×	4 0.4×	24	221
Vivek Kumar Rangarajan Sridhar United States	9	290 2.3×	25 0.9×	17 1.3×	8 0.7×	4 0.4×	21	320
Yova Kementchedjhieva Denmark	9	162 1.3×	59 2.1×	13 1.0×	13 1.1×	5 0.6×	21	225
Diptesh Kanojia India	10	208 1.6×	43 1.5×	8 0.6×	23 1.9×	14 1.6×	50	246
Csaba Oravecz Hungary	7	215 1.7×	9 0.3×	50 3.8×	12 1.0×	16 1.8×	13	259
Jon Gauthier United States	7	231 1.8×	61 2.2×	7 0.5×	5 0.4×	38 4.2×	10	267
Lynne Cahill United Kingdom	11	198 1.5×	11 0.4×	38 2.9×	9 0.8×	13 1.4×	28	252

Countries citing papers authored by Philip John Gorinski

Since Specialization

Citations

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

Fields of papers citing papers by Philip John Gorinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip John Gorinski. 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 Philip John Gorinski. The network helps show where Philip John Gorinski may publish in the future.

Co-authorship network of co-authors of Philip John Gorinski

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

All Works

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11 of 11 papers shown

Gorinski, Philip John, et al.. (2023). Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. 370–384.

Gorinski, Philip John, et al.. (2021). Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13834–13842. 13 indexed citations

Gorinski, Philip John, et al.. (2021). Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. arXiv (Cornell University). 35(15). 13834–13842. 1 indexed citations

Gorinski, Philip John, et al.. (2020). Improving End-to-End Speech-to-Intent Classification with Reptile. 15 indexed citations

Gorinski, Philip John, Honghan Wu, Claire Grover, et al.. (2019). Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. arXiv (Cornell University). 18 indexed citations

Gorinski, Philip John & Mirella Lapata. (2018). What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis. Edinburgh Research Explorer. 1770–1781. 12 indexed citations

Gorinski, Philip John & Mirella Lapata. (2015). Movie Script Summarization as Graph-based Scene Extraction. Edinburgh Research Explorer. 1066–1076. 40 indexed citations

Gorinski, Philip John, Josef Ruppenhofer, & Caroline Sporleder. (2013). Towards Weakly Supervised Resolution of Null Instantiations. Publication Server of the Institute for German Language (Institute for German Language). 119–130. 8 indexed citations

Demberg, Vera, et al.. (2012). Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts. Empirical Methods in Natural Language Processing. 356–367. 19 indexed citations

10.

Ruppenhofer, Josef, Philip John Gorinski, & Caroline Sporleder. (2011). In Search of Missing Arguments: A Linguistic Approach. Publication Server of the Institute for German Language (Institute for German Language). 331–338. 12 indexed citations

11.

Sporleder, Caroline, et al.. (2010). Idioms in Context: The IDIX Corpus. Language Resources and Evaluation. 12 indexed citations

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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