Daniel M. Bikel

10 papers and 478 indexed citations i.

About

Daniel M. Bikel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Daniel M. Bikel has authored 10 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Daniel M. Bikel’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Daniel M. Bikel is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Daniel M. Bikel collaborates with scholars based in United States, Türkiye and United Kingdom. Daniel M. Bikel's co-authors include Ralph Weischedel, Richard Schwartz, David Chiang, Radu Florian, Vittorio Castelli, Kapil Thadani, Murat Saraçlar, Sanjeev Khudanpur, Emily Prud’hommeaux and Kenji Sagae and has published in prestigious journals such as Machine Learning, Computational Linguistics and Theory and applications of categories.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Bikel i

Fields of papers citing papers by Daniel M. Bikel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Bikel. 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 Daniel M. Bikel. The network helps show where Daniel M. Bikel may publish in the future.

Countries citing papers authored by Daniel M. Bikel

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025