Marina Litvak

1.4k citations
52 papers · 493 indexed · h-index 11
Topics
Topic Modeling (31 papers)Natural Language Processing Techniques (23 papers)Advanced Text Analysis Techniques (19 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications

In The Last Decade

Marina Litvak

43 papers receiving 443 citations

Peers

Marina Litvak
Comparison fields: 5 of 69
  • Artificial Intelligence 418
  • Information Systems 97
  • Sociology and Political Science 39
  • Molecular Biology 32
  • Computer Vision and Pattern Recognition 32
Replace Tommaso Caselli with:
Tommaso Caselli Netherlands
Vítor Mangaravite Brazil
Lalindra De Silva United States
Arian Pasquali Portugal
Yaakov HaCohen‐Kerner Israel
Mikalai Tsytsarau Italy
Tristan Miller Germany
Ranjan Satapathy Singapore
Luís Marujo Portugal
Marina Litvak relative to Tommaso Caselli Netherlands Tommaso Caselli's profile →
Citations per field
00.5×1.5×
Tommaso Caselli · 1×
Citations per year

Countries citing papers authored by Marina Litvak

Since Specialization
Citations

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

Fields of papers citing papers by Marina Litvak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Litvak

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 3
6 0
7 2
8 1
9 24
10
Detecting Troll Tweets in a Bilingual Corpus
2
11 1
12 0
13 1
14 7
15
Social and Linguistic Behavior and its Correlation to Trait Empathy
9
16
What’s up on Twitter? Catch up with TWIST!
4
17 36
18
Mining the Gaps: Towards Polynomial Summarization
5
19 8
20
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
69

About Marina Litvak

Marina Litvak is a scholar working on Computational Mathematics, Artificial Intelligence and Communication, having authored 52 papers that have together received 493 indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Natural Language Processing Techniques (23 papers) and Advanced Text Analysis Techniques (19 papers). The work is most often cited by research in Artificial Intelligence (418 citations), Information Systems (97 citations) and Human-Computer Interaction (16 citations). Marina Litvak has collaborated with scholars based in Israel, Portugal and United States. Frequent co-authors include Mark Last, Natalia Vanetik, Menahem Friedman, Amin Mantrach, Fabrizio Silvestri, Lin Miao, Jahna Otterbacher, Chee Siang Ang, David C. Atkins and Miao Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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