Ana Marasović

1.0k citations
16 papers · 456 indexed · 1 hit paper · h-index 8
Topics
Topic Modeling (12 papers)Natural Language Processing Techniques (10 papers)Explainable Artificial Intelligence (XAI) (7 papers)
Journals
arXiv (Cornell University)

In The Last Decade

Ana Marasović

15 papers receiving 436 citations

Hit Papers

Formalizing Trust in Artificial Intelligence2021202620222024202150100150200250

Peers

Ana Marasović
Comparison fields: 5 of 71
  • Artificial Intelligence 318
  • Safety Research 141
  • Health Informatics 66
  • Social Psychology 61
  • Computer Vision and Pattern Recognition 35
Replace Umang Bhatt with:
Umang Bhatt United Kingdom
Xinru Wang United States
Eva Schmidt Germany
Agathe Balayn Netherlands
Jamila Smith-Loud United States
Martijn Millecamp Belgium
Mahima Pushkarna United States
Marcin Gruza Poland
Kamil Kanclerz Poland
Zhuoran Lu United States
Ana Marasović relative to Umang Bhatt United Kingdom Umang Bhatt's profile →
Citations per field
00.5×1.5×1.9×
Umang Bhatt · 1×
Citations per year

Countries citing papers authored by Ana Marasović

Since Specialization
Citations

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

Fields of papers citing papers by Ana Marasović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Marasović

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 1
3 16
4 2
5 2
6 7
7 39
8 37
9
Teach Me to Explain: A Review of Datasets for Explainable NLP.
31
10 10
11
Formalizing Trust in Artificial Intelligencebreakdown →
270
12 6
13 9
14 2
15 20
16 4

About Ana Marasović

Ana Marasović is a scholar working on Health Informatics, Artificial Intelligence and Safety Research, having authored 16 papers that have together received 456 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Explainable Artificial Intelligence (XAI) (7 papers). The work is most often cited by research in Health Informatics (66 citations), Safety Research (141 citations) and Artificial Intelligence (318 citations). Ana Marasović has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Tim Miller, Yoav Goldberg, Alon Jacovi, Sarah Wiegreffe, Anette Frank, Matthew E. Peters, Iz Beltagy, Doug Downey, Matt Gardner and Jack Hessel. Their work appears in journals such as arXiv (Cornell University).

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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