Jose Martin

630 citations
4 papers · 422 indexed · 1 hit paper · h-index 3
Topics
Sentiment Analysis and Opinion Mining (2 papers)Advanced Text Analysis Techniques (1 paper)Online Learning and Analytics (1 paper)
Journals
Computers in Human BehaviorDialnet (Universidad de la Rioja)
Partner nations
SpainAustria

In The Last Decade

Jose Martin

3 papers receiving 386 citations

Hit Papers

Sentiment analysis in Facebook and its application to e-l...20132026201720212013100200300400

Peers

Jose Martin
Comparison fields: 5 of 51
  • Artificial Intelligence 323
  • Information Systems 110
  • Computer Science Applications 82
  • Sociology and Political Science 73
  • Social Psychology 32
Replace Mahesh Joshi with:
Mahesh Joshi United States
Snigdha Chaturvedi United States
Ke Zhou United Kingdom
Suma Bhat United States
Karen E. Lochbaum United States
Sergej Zerr Germany
Gord McCalla Canada
David Fernandes Brazil
Davide Taibi Italy
Jose Martin relative to Mahesh Joshi United States Mahesh Joshi's profile →
Citations per field
00.5×3.0×
Mahesh Joshi · 1×
Citations per year

Countries citing papers authored by Jose Martin

Since Specialization
Citations

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

Fields of papers citing papers by Jose Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jose Martin

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1
Sentiment analysis in Facebook and its application to e-learningbreakdown →
406
2
SentBuk: Sentiment analysis for e-learning environments
14
3 2
4
Acciones sin voto y acciones rescatables
0

About Jose Martin

Jose Martin is a scholar working on Computer Science Applications, Sociology and Political Science and Artificial Intelligence, having authored 4 papers that have together received 422 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Computer Science Applications (82 citations), Artificial Intelligence (323 citations) and Information Systems (110 citations). Jose Martin has collaborated with scholars based in Spain and Austria. Frequent co-authors include Álvaro Ortigosa and Rosa M. Carro. Their work appears in journals such as Computers in Human Behavior and Dialnet (Universidad de la Rioja).

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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