Mark Fishel

1.1k total citations · 1 hit paper
46 papers, 595 citations indexed

About

Mark Fishel is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Fishel has authored 46 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 10 papers in Language and Linguistics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Fishel's work include Natural Language Processing Techniques (40 papers), Topic Modeling (35 papers) and Text Readability and Simplification (10 papers). Mark Fishel is often cited by papers focused on Natural Language Processing Techniques (40 papers), Topic Modeling (35 papers) and Text Readability and Simplification (10 papers). Mark Fishel collaborates with scholars based in Estonia, Switzerland and Czechia. Mark Fishel's co-authors include Ondřej Bojar, Christian Federmann, Santanu Pal, Philipp Koehn, Matt Post, Mathias Müller, Christof Monz, Barry Haddow, Matthias Huck and Yvette Graham and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and IEEE Multimedia.

In The Last Decade

Mark Fishel

42 papers receiving 526 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Findings of the 2019 Conference on Machine Translation (WMT19)

2019 256 citations Loïc Barrault, Ondřej Bojar et al. profile →

Peers

Mark Fishel

AI

CVPR

LL

IS

MB

Spence Green United States

Jorge Civera Spain

Santanu Pal India

Ondřej Dušek Czechia

Samuel Läubli Switzerland

Francis M. Tyers United States

Felipe Sánchez-Martínez Spain

Evgeny Matusov Germany

Mohamed Al-Badrashiny United States

Christian Hardmeier Sweden

Spence Green United States

Mark Fishel

574 ×1.1

AI

110 ×0.8

CVPR

47 ×0.8

LL

61 ×1.6

IS

31 ×1.1

MB

Citations per year, relative to Mark Fishel Mark Fishel (= 1×) peers Spence Green

Countries citing papers authored by Mark Fishel

Since Specialization

Citations

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

Fields of papers citing papers by Mark Fishel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Fishel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Fishel. A scholar is included among the top collaborators of Mark Fishel 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 Mark Fishel. Mark Fishel 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:

20 of 20 papers shown

1.

Fishel, Mark, et al.. (2024). To Err Is Human, but Llamas Can Learn It Too. 12466–12481. 1 indexed citations

2.

Fishel, Mark, et al.. (2024). No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models. 1209–1222.

3.

Fishel, Mark, et al.. (2023). True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4. 314–322. 3 indexed citations

4.

Sun, Shuo, Frédéric Blain, Vishrav Chaudhary, et al.. (2020). BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 1010–1017. 9 indexed citations

5.

Barrault, Loïc, Ondřej Bojar, Marta R. Costa‐jussà, et al.. (2019). Findings of the 2019 Conference on Machine Translation (WMT19). 1–61. 256 indexed citations breakdown →

6.

Etchegoyhen, Thierry, et al.. (2014). Machine Translation for Subtitling: A Large-Scale Evaluation. Language Resources and Evaluation. 46–53. 20 indexed citations

7.

Fishel, Mark, et al.. (2014). Enforcing Consistent Translation of German Compound Coreferences. Zurich Open Repository and Archive (University of Zurich). 58–65. 6 indexed citations

8.

Läubli, Samuel, Mark Fishel, Gary Massey, Maureen Ehrensberger‐Dow, & Martin Volk. (2013). Assessing post-editing efficiency in a realistic translation environment. Zurich Open Repository and Archive (University of Zurich). 83–91. 31 indexed citations

9.

Fishel, Mark. (2013). Ranking translations using error analysis and quality estimation. Zurich Open Repository and Archive (University of Zurich). 405–407. 1 indexed citations

10.

Läubli, Samuel, et al.. (2013). Statistical machine translation for automobile marketing texts. Zurich Open Repository and Archive (University of Zurich). 265–272. 1 indexed citations

11.

Läubli, Samuel, et al.. (2013). Combining statistical machine translation and translation memories with domain adaptation. DSpace repository (University of Tartu). 331–341. 3 indexed citations

12.

Bojar, Ondřej, et al.. (2012). Automatic MT Error Analysis: Hjerson Helping Addicter. Language Resources and Evaluation. 2158–2163. 5 indexed citations

13.

Fishel, Mark, et al.. (2012). From subtitles to parallel corpora. Zurich Open Repository and Archive (University of Zurich). 3 indexed citations

14.

Fishel, Mark, Ondřej Bojar, & Maja Popović. (2012). Terra: a collection of translation error-annotated corpora. Language Resources and Evaluation. 7–14. 13 indexed citations

15.

Fishel, Mark, Rico Sennrich, Maja Popović, & Ondřej Bojar. (2012). TerrorCat: a translation error categorization-based MT quality metric. Zurich Open Repository and Archive (University of Zurich). 64–70. 9 indexed citations

16.

Fishel, Mark, et al.. (2012). Extrinsic evaluation of sentence alignment systems. Edinburgh Research Explorer. 7 indexed citations

17.

Zeman, Daniel, et al.. (2011). Addicter: What Is Wrong with My Translations?. The Prague Bulletin of Mathematical Linguistics. 96(1). 23 indexed citations

18.

Fishel, Mark, et al.. (2010). Linguistically Motivated Unsupervised Segmentation for Machine Translation.. Language Resources and Evaluation. 9 indexed citations

19.

Fishel, Mark & Joakim Nivre. (2009). Voting and Stacking in Data-Driven Dependency Parsing. DSpace repository (University of Tartu). 219–222. 3 indexed citations

20.

Fishel, Mark, et al.. (2008). Experiments on Processing Overlapping Parallel Corpora. Language Resources and Evaluation. 1 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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