Andras Csomai
- Artificial Intelligence top 2%
- Information Systems top 5%
- Communication top 5%
- Molecular Biology
- Management Science and Operations Research top 10%
- Topics
- Advanced Text Analysis Techniques (5 papers)Natural Language Processing Techniques (5 papers)Topic Modeling (4 papers)
- Journals
- IEEE Intelligent SystemsUniversity of North Texas Digital Library (University of North Texas)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Andras Csomai
10 papers receiving 668 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 664
- Information Systems 208
- Communication 142
- Molecular Biology 69
- Management Science and Operations Research 64
Countries citing papers authored by Andras Csomai
This map shows the geographic impact of Andras Csomai'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 Andras Csomai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andras Csomai more than expected).
Fields of papers citing papers by Andras Csomai
This network shows the impact of papers produced by Andras Csomai. 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 Andras Csomai. The network helps show where Andras Csomai may publish in the future.
Co-authorship network of co-authors of Andras Csomai
This figure shows the co-authorship network connecting the top 25 collaborators of Andras Csomai. A scholar is included among the top collaborators of Andras Csomai 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 Andras Csomai. Andras Csomai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing | 16 |
| 2 | Creating a testbed for the evaluation of automatically generated back-of-the-book indexes | 3 |
| 3 | 61 | |
| 4 | Investigations in Unsupervised Back-of-the-Book Indexing | 11 |
| 5 | 4 | |
| 6 | Wikify!breakdown → | 563 |
| 7 | 34 | |
| 8 | Linking Educational Materials to Encyclopedic Knowledge | 16 |
| 9 | Text Semantic Similarity, with Applications | 3 |
| 10 | 37 |
About Andras Csomai
Andras Csomai is a scholar working on Artificial Intelligence, History and Philosophy of Science and Computer Science Applications, having authored 10 papers that have together received 748 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (664 citations), Communication (142 citations) and Information Systems (208 citations). Andras Csomai has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Rada Mihalcea, Samer Hassan, Carmen Banea, Ravi Sinha, Courtney D. Corley and Massimiliano Ciaramita. Their work appears in journals such as IEEE Intelligent Systems and University of North Texas Digital Library (University of North Texas).
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.