Rohit J. Kate

2.2k total citations
37 papers, 1.4k citations indexed

About

Rohit J. Kate is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rohit J. Kate has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rohit J. Kate's work include Natural Language Processing Techniques (24 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (13 papers). Rohit J. Kate is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (13 papers). Rohit J. Kate collaborates with scholars based in United States and India. Rohit J. Kate's co-authors include Raymond J. Mooney, Yuk Wah Wong, Arun Ramani, Răzvan Bunescu, Edward M. Marcotte, Vani Nilakantan, Ruth Pérez, Kalyan S. Pasupathy, Whitney A. Welch and Scott J. Strath and has published in prestigious journals such as Accident Analysis & Prevention, Journal of the American Medical Informatics Association and Computers in Biology and Medicine.

In The Last Decade

Rohit J. Kate

37 papers receiving 1.3k citations

Peers

Rohit J. Kate
Comparison fields: 5 of 135
  • Artificial Intelligence 957
  • Molecular Biology 405
  • Signal Processing 162
  • Information Systems 115
  • Computer Vision and Pattern Recognition 107
Replace Wei Dong with:
Wei Dong China
Jinwook Choi South Korea
Cristiana Larizza Italy
Zhendong Wu China
Jing Yan China
Daisy Zhe Wang United States
Fábio Grandi Italy
Vipin Kumar India
Shahram Ebadollahi United States
Wei Dong China View profile →
Citations per field, relative to Rohit J. Kate
Rohit J. Kate · 1×
Citations per year, relative to Rohit J. Kate
Rohit J. Kate · 1×

Countries citing papers authored by Rohit J. Kate

Since Specialization
Citations

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

Fields of papers citing papers by Rohit J. Kate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit J. Kate. 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 Rohit J. Kate. The network helps show where Rohit J. Kate may publish in the future.

Co-authorship network of co-authors of Rohit J. Kate

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit J. Kate. A scholar is included among the top collaborators of Rohit J. Kate 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 Rohit J. Kate. Rohit J. Kate 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
# Work Indexed citations
1 3
2 23
3 1
4 9
5 5
6 29
7 54
8 25
9 118
10 233
11 16
12 25
13 1
14 1
15
Learning to Predict Readability using Diverse Linguistic Features
58
16
Joint Entity and Relation Extraction Using Card-Pyramid Parsing
50
17
Semantic Parsing: The Task, the State of the Art and the Future
6
18
Learning language semantics from ambiguous supervision
44
19
Learning to transform natural to formal languages
116
20 287

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
2026