Isaac Persing

677 total citations
14 papers, 445 citations indexed

About

Isaac Persing is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Isaac Persing has authored 14 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 1 paper in Communication. Recurrent topics in Isaac Persing's work include Topic Modeling (9 papers), Software Engineering Research (8 papers) and Natural Language Processing Techniques (5 papers). Isaac Persing is often cited by papers focused on Topic Modeling (9 papers), Software Engineering Research (8 papers) and Natural Language Processing Techniques (5 papers). Isaac Persing collaborates with scholars based in United States. Isaac Persing's co-authors include Vincent Ng, Vincent Ng, Alan Davis, Jeff Tian, LiGuo Huang, Xu Bai, Mingrui Chen and Zeheng Li and has published in prestigious journals such as Language Resources and Evaluation, Automated Software Engineering and Empirical Methods in Natural Language Processing.

In The Last Decade

Isaac Persing

14 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isaac Persing United States	10	370	215	42	26	22	14	445
Alla Rozovskaya United States	20	877 2.4×	87 0.4×	14 0.3×	8 0.3×	9 0.4×	41	935
Sonia Haiduc United States	12	102 0.3×	259 1.2×	69 1.6×	4 0.2×	33 1.5×	20	339
Kris Cardinaels Belgium	8	126 0.3×	90 0.4×	9 0.2×	16 0.6×	38 1.7×	16	290
Tam The Nguyen United States	9	74 0.2×	253 1.2×	59 1.4×	5 0.2×	57 2.6×	17	317
Muazzam Ahmed Siddiqui Saudi Arabia	9	194 0.5×	110 0.5×	12 0.3×	9 0.3×	126 5.7×	23	323
Kevin Humphreys United Kingdom	12	546 1.5×	133 0.6×	11 0.3×	2 0.1×	18 0.8×	22	620
Denzil Correa India	11	201 0.5×	189 0.9×	5 0.1×	4 0.2×	14 0.6×	16	306
Frank Simon Belgium	7	97 0.3×	253 1.2×	158 3.8×	32 1.2×	66 3.0×	25	321
Dimitris Vardoulakis Australia	7	87 0.2×	99 0.5×	105 2.5×	8 0.3×	32 1.5×	46	273
Woojin Paik United States	9	126 0.3×	79 0.4×	3 0.1×	13 0.5×	15 0.7×	29	232

Countries citing papers authored by Isaac Persing

Since Specialization

Citations

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

Fields of papers citing papers by Isaac Persing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Persing

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Persing, Isaac & Vincent Ng. (2020). Unsupervised Argumentation Mining in Student Essays. Language Resources and Evaluation. 6795–6803. 4 indexed citations

2.

Persing, Isaac & Vincent Ng. (2017). Lightly-Supervised Modeling of Argument Persuasiveness. International Joint Conference on Natural Language Processing. 1. 594–604. 6 indexed citations

3.

Persing, Isaac & Vincent Ng. (2017). Why Can't You Convince Me? Modeling Weaknesses in Unpersuasive Arguments. 4082–4088. 29 indexed citations

4.

Persing, Isaac & Vincent Ng. (2016). End-to-End Argumentation Mining in Student Essays. 1384–1394. 63 indexed citations

5.

Persing, Isaac & Vincent Ng. (2016). Modeling Stance in Student Essays. 2174–2184. 18 indexed citations

6.

Persing, Isaac & Vincent Ng. (2015). Modeling Argument Strength in Student Essays. 543–552. 96 indexed citations

7.

Persing, Isaac & Vincent Ng. (2014). Modeling Prompt Adherence in Student Essays. 1534–1543. 44 indexed citations

8.

Persing, Isaac & Vincent Ng. (2014). Vote Prediction on Comments in Social Polls. 1127–1138. 7 indexed citations

9.

Huang, LiGuo, Vincent Ng, Isaac Persing, et al.. (2014). AutoODC: Automated generation of orthogonal defect classifications. Automated Software Engineering. 22(1). 3–46. 17 indexed citations

10.

Persing, Isaac & Vincent Ng. (2013). Modeling Thesis Clarity in Student Essays. 260–269. 33 indexed citations

11.

Huang, LiGuo, et al.. (2011). AutoODC: Automated generation of Orthogonal Defect Classifications. 412–415. 42 indexed citations

12.

Persing, Isaac, Alan Davis, & Vincent Ng. (2010). Modeling Organization in Student Essays. Empirical Methods in Natural Language Processing. 229–239. 59 indexed citations

13.

Persing, Isaac & Vincent Ng. (2010). Improving Cause Detection Systems with Active Learning.. 2(5). 39–53. 1 indexed citations

14.

Persing, Isaac & Vincent Ng. (2009). Semi-supervised cause identification from aviation safety reports. 2. 843–843. 26 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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